Intel’s Big Data and Hadoop Security Initiatives - StampedeCon 2014StampedeCon
At StampedeCon 2014, Todd Speck (Intel) presented "Intel’s Big Data and Hadoop Security Initiatives."
In this talk, we will cover various aspects of software and hardware initiatives that Intel is contributing to Hadoop as well as other aspects of our involvement in solutions for Big Data and Hadoop, with a special focus on security. We will discuss specific security initiatives as well as our recent partnership with Cloudera. You should leave the session with a clear understanding of Intel’s involvement and contributions to Hadoop today and coming in the near future.
Tackling Retail Technology Management Challenges at the EdgeRebekah Rodriguez
As the adoption of intelligent applications in the Retail industry grows, so do their technology requirements. This creates challenges for store operators to navigate the deployment and maintenance of hardware, applications, and management tools at locations without a dedicated IT staff. Along with the complexity of solutions, these operators are dealing with a wide range of installation scenarios, specific to the products or services they offer.
Purpose-built edge systems, such as Supermicro’s Fanless servers powered by Intel® Xeon D® processors, provide a secure and rugged platform that can be deployed where conventional servers cannot. These systems, along with our broad portfolio of short-depth rackmount systems, can be combined with the Reliant Platform by Acumera, a secure, cost-effective, and central cloud managed solution to automate delivery and management of applications, networking, and security controls either in-store or in the cloud.
Join this webinar to hear how these solutions are currently employed across thousands of locations, simplifying Edge IT for many major retailers today. Speakers will include David Nielsen, Sr. System Product Manager for IoT and Edge Applications, Richard Newman and Brett Stewart, Technology Leaders at Acumera, as well as Craig Carter, Product Line Manager from Intel to discuss the latest generation of the Xeon D platform.
Bhadale group of companies Intel partner services catalogueVijayananda Mohire
The document provides an overview of services offered by Bhadale Group of Companies related to Intel partner solutions. Bhadale Group consists of two divisions - Bhadale IT Developers Pvt. Ltd which provides IT consultation, and Bhadale Engineering Developers Pvt. Ltd which provides multi-engineering services. The catalog lists 15 core service areas including architecture solutions, cloud solutions, data center modernization, AI/ML solutions, IoT solutions, and custom solutions. Contact details are provided for more information.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
Tuning For Deep Learning Inference with Intel® Processor Graphics | SIGGRAPH ...Intel® Software
This document discusses optimizing deep learning inference on Intel processor graphics using the OpenVINOTM toolkit. Some key points include:
- Running inference on client devices provides advantages over cloud like privacy, bandwidth savings, and responsiveness.
- OpenVINOTM provides tools to optimize models for Intel hardware and achieve 5-10x speedups on Intel GPUs compared to CPU baselines.
- A case study demonstrates optimizing a deep image matting model, reducing inference time from 2.35 seconds to 291 milliseconds on Intel GPU using OpenVINOTM.
- Emerging technologies like federated learning are discussed which could improve privacy for on-device inference.
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
How Intel Xeon CPUs enable smarter IoT solutions across various power and industrial use case requirements. Intel's 10/26/17 Advantech Solution Day presentation by Stephen Chenoweth.
Event details: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
Intel’s Big Data and Hadoop Security Initiatives - StampedeCon 2014StampedeCon
At StampedeCon 2014, Todd Speck (Intel) presented "Intel’s Big Data and Hadoop Security Initiatives."
In this talk, we will cover various aspects of software and hardware initiatives that Intel is contributing to Hadoop as well as other aspects of our involvement in solutions for Big Data and Hadoop, with a special focus on security. We will discuss specific security initiatives as well as our recent partnership with Cloudera. You should leave the session with a clear understanding of Intel’s involvement and contributions to Hadoop today and coming in the near future.
Tackling Retail Technology Management Challenges at the EdgeRebekah Rodriguez
As the adoption of intelligent applications in the Retail industry grows, so do their technology requirements. This creates challenges for store operators to navigate the deployment and maintenance of hardware, applications, and management tools at locations without a dedicated IT staff. Along with the complexity of solutions, these operators are dealing with a wide range of installation scenarios, specific to the products or services they offer.
Purpose-built edge systems, such as Supermicro’s Fanless servers powered by Intel® Xeon D® processors, provide a secure and rugged platform that can be deployed where conventional servers cannot. These systems, along with our broad portfolio of short-depth rackmount systems, can be combined with the Reliant Platform by Acumera, a secure, cost-effective, and central cloud managed solution to automate delivery and management of applications, networking, and security controls either in-store or in the cloud.
Join this webinar to hear how these solutions are currently employed across thousands of locations, simplifying Edge IT for many major retailers today. Speakers will include David Nielsen, Sr. System Product Manager for IoT and Edge Applications, Richard Newman and Brett Stewart, Technology Leaders at Acumera, as well as Craig Carter, Product Line Manager from Intel to discuss the latest generation of the Xeon D platform.
Bhadale group of companies Intel partner services catalogueVijayananda Mohire
The document provides an overview of services offered by Bhadale Group of Companies related to Intel partner solutions. Bhadale Group consists of two divisions - Bhadale IT Developers Pvt. Ltd which provides IT consultation, and Bhadale Engineering Developers Pvt. Ltd which provides multi-engineering services. The catalog lists 15 core service areas including architecture solutions, cloud solutions, data center modernization, AI/ML solutions, IoT solutions, and custom solutions. Contact details are provided for more information.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
Tuning For Deep Learning Inference with Intel® Processor Graphics | SIGGRAPH ...Intel® Software
This document discusses optimizing deep learning inference on Intel processor graphics using the OpenVINOTM toolkit. Some key points include:
- Running inference on client devices provides advantages over cloud like privacy, bandwidth savings, and responsiveness.
- OpenVINOTM provides tools to optimize models for Intel hardware and achieve 5-10x speedups on Intel GPUs compared to CPU baselines.
- A case study demonstrates optimizing a deep image matting model, reducing inference time from 2.35 seconds to 291 milliseconds on Intel GPU using OpenVINOTM.
- Emerging technologies like federated learning are discussed which could improve privacy for on-device inference.
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
How Intel Xeon CPUs enable smarter IoT solutions across various power and industrial use case requirements. Intel's 10/26/17 Advantech Solution Day presentation by Stephen Chenoweth.
Event details: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
The document discusses accelerating cloud services. It notes that today's challenges for IT include rapid service delivery through cloud and devices. Big data, cloud computing, and high-performance computing are clear trends shaping enterprises. The cloud provides opportunities to extract value from data but also poses big challenges. The journey to cloud is inevitable as it addresses pressures on IT organizations from business leaders. The document advocates re-architecting the datacenter with cloud and software-defined infrastructure to provide agility, optimize resources, and enable new applications and services. It highlights Intel's ongoing investments in datacenter technologies and custom processors for AWS, and provides case studies of how Intel and AWS help customers leverage the power of cloud.
This document discusses Intel's cloud and big data platforms and solutions. It highlights Intel's support for open standards and optimized performance across compute, storage, and networking. It also outlines Intel's goals of maintaining an open Hadoop platform, accelerating innovation through open source software, ensuring security, and establishing benchmarks and reference architectures to foster the evolution of the big data ecosystem.
IBM is presenting several cloud solutions including:
- AMM Migration Service to streamline workload migrations onto Softlayer in 3 sentences or less.
- ICIA which provides high-performance clusters for running enterprise analytics workloads on dedicated bare metal infrastructure preintegrated with analytics tools.
- ICDES which provides an advanced level of data encryption and fault tolerance for data security needs using AES-256 encryption and data splitting.
Intels presentation at blue line industrial computer seminarBlue Line
This document provides an overview of Intel Corporation in 2014. It discusses Intel's mission to bring smart, connected devices to everyone using Moore's Law. Over 75% of Intel's business is outside the US, with key focus areas including data center, client, ultra-mobile, and wearables/IoT. Intel has a track record of executing Moore's Law and developing new process technologies like 14nm. The document outlines Intel's various business groups and labs focusing on areas like the internet of things. It provides a roadmap for Intel gateways for IoT and discusses Intel's history and position as the world's largest semiconductor manufacturer.
22by7 and DellEMC Tech Day July 20 2017 - Power EdgeSashikris
The document discusses Dell EMC's PowerEdge server solutions for modern data centers. It introduces the PowerEdge R940, R740-R740xd, R640, C6420, and M640-FC640 servers and highlights their key features. These include expanded processing, memory, storage and I/O capacity, intelligent automation capabilities, integrated security features, and workload optimization options. The servers are presented as providing adaptable, scalable and protected infrastructure for traditional and emerging workloads in the modern data center.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/smarter-manufacturing-with-intels-deep-learning-based-machine-vision-a-presentation-from-intel/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit.
As demand for smarter and more efficient manufacturing is growing, IoT technologies—including sensors, edge devices, gateways, servers and the cloud—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help to reduce labor costs, increase quality and maximize profit. The biggest hindrance to achieving these outcomes is the difficulty in extracting data from vendor-locked and proprietary systems for analytics downstream.
In this presentation, Thimmanaik covers Intel’s approach to developing open, flexible and scalable solutions, including:
• Intel’s technologies such as OpenVINO, Movidius Vision Processor Units, Edge Insights Software (EIS) and deep learning algorithms
• How Intel’s offerings come together in the industrial marketplace with partnerships forged to address the constraints of manufacturing infrastructure
• Real-world examples highlighting defect detection in textile printing (where 90% accuracy at 50 fps was achieved) and smartphone screen production (where false negatives were only 0.6%)
The document provides an overview of IBM's intelligent clusters product. It describes intelligent clusters as integrated cluster solutions provided by IBM that include pre-configured servers, storage, networking components, and cluster management software. The document outlines IBM's server and storage hardware options for intelligent clusters, including rack servers, blade servers, and the iDataPlex system. It also discusses the benefits of IBM's integrated solution approach over alternative methods of assembling cluster components.
Intel® Xeon® Processor E7-8800/4800 v4 EAMG 2.0Intel IT Center
This set of Intel® Xeon® processor E7-8800/4800 v4 family proof points spans several key business segments. The Intel® Xeon® processor E7-8800/4800 v4 product family delivers the horsepower for real-time, high-capacity data analysis that can help businesses derive rapid actionable insights to deliver innovative new services and customer experiences. With high performance, industry’s largest memory, robust reliability, and hardware-enhanced security features, the E7-8800/4800 v4 is optimal for scale-up platforms, delivering rapid in-memory computing for today’s most demanding real-time data and transaction-intensive workloads.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/intel-video-ai-box-converging-ai-media-and-computing-in-a-compact-and-open-platform-a-presentation-from-intel/
Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit.
As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments.
In this presentation, you’ll learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Chuang also explores EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.
Enabling Cross-platform Deep Learning Applications with Intel OpenVINO™Yury Gorbachev
The document discusses Intel's OpenVINOTM toolkit, which enables cross-platform deep learning applications. The toolkit provides a development environment for high performance computer vision and deep learning inference. It allows applications to run on multiple Intel accelerators with a single application binary and without retraining models. This allows for faster time to market, cross-platform portability, and future-proofing of applications.
Microsoft SQL Server - Intel Processors and Microsoft Power Pivot PresentationMicrosoft Private Cloud
The document discusses how PowerPivot running on PCs with Intel Core vPro processors and servers with Intel Xeon processors can provide a high-performance platform for self-service business intelligence. It recommends upgrading client PCs and servers to these Intel processors to optimize the PowerPivot experience and provide benefits like increased performance, security, manageability, and energy efficiency. The document also provides configuration recommendations and next steps for deploying PowerPivot with these hardware upgrades.
This document discusses how telecom companies can leverage artificial intelligence and analytics to drive digital transformation. It identifies key opportunities for AI including improving the customer experience, fraud mitigation, and predictive maintenance. It then outlines the components of a telecom data lake that can support these advanced analytics initiatives. Examples of AI use cases for different telecom business functions like marketing, network operations, and security are also provided. The document argues that a data lake platform optimized for analytics can help telecom companies achieve business and innovation goals through improved operations, new revenue streams, and lower costs.
This document outlines four reasons for building and selling servers using Intel server products:
1) Address specific customer needs and target customer segments by controlling server configurations.
2) Increase earning options through incremental revenues from additional products and services.
3) Differentiate from competition by creating custom solutions and focusing on value over price.
4) Leverage Intel's resources like pre-integrated systems, technical support, and service and warranty programs to make building servers easier.
Webinář: Dell VRTX - datacentrum vše-v-jednom za skvělou cenu / 7.10.2013Jaroslav Prodelal
Dokážete si představit, že byste provozovali své datacentrum v prostředí kanceláře? Ano, je to možné. Společnost Dell uvedla na trh novinku v podobě tzv. datacenter-in-a-box (vše-v-jednom), které je optimalizované (odhlučnění, napájení) pro provoz i v kanceláři, samozřejmě jej můžete dát i do samostatné místnosti.
Dell VRTX kombinuje v jediném 5U šasí výpočetní výkon (až 4 2-CPU servery), diskové úložiště (až 24 HDD) a síť.
Ve webináři vás seznámíme s touto cenově velmi zajímavou novinkou a ukážeme rozdíl mezi tímto řešením a případnými alternativami v době samostaných serverů, diskového pole a síťových switchů.
Agenda:
* co je Dell VRTX?
* segment zákazníků pro VRTX
* co VRTX nabízí
* řešení provozované na VRTX
* technické specifikace
* možná použití
* cena
* aktuální nabídky a promo akce
1. The document introduces the Intel Xeon Scalable platform, which provides the foundation for data center innovation with a 1.65x average performance boost over previous generations.
2. It highlights key advantages of the platform including scalable performance, agility in rapid service delivery, and hardware-enhanced security with near-zero performance overhead.
3. Various workload-optimized solutions are discussed that leverage the platform's performance to accelerate insights from analytics, deploy cloud infrastructure more quickly, and transform networks.
GDG Cloud Southlake #16: Priyanka Vergadia: Scalable Data Analytics in Google...James Anderson
Do you know The Cloud Girl? She makes the cloud come alive with pictures and storytelling.
The Cloud Girl, Priyanka Vergadia, Chief Content Officer @Google, joins us to tell us about Scaleable Data Analytics in Google Cloud.
Maybe, with her explanation, we'll finally understand it!
Priyanka is a technical storyteller and content creator who has created over 300 videos, articles, podcasts, courses and tutorials which help developers learn Google Cloud fundamentals, solve their business challenges and pass certifications! Checkout her content on Google Cloud Tech Youtube channel.
Priyanka enjoys drawing and painting which she tries to bring to her advocacy.
Check out her website The Cloud Girl: https://thecloudgirl.dev/ and her new book: https://www.amazon.com/Visualizing-Google-Cloud-Illustrated-References/dp/1119816327
The document announces the new IBM zEnterprise EC12 hybrid computing system. Key points:
- It provides up to 50% more total system capacity and 101 configurable cores compared to prior models.
- Performance is improved through a new hexa-core 5.5GHz chip design and features like transactional execution.
- New capabilities include flash storage support, encryption, and pattern recognition analytics for system health.
- It supports various workloads and platforms through the zBX blade infrastructure and management tools.
See what's new in IBM mainframe technology through August 2018. This is the newest of the new software mainframe technology. This presentation is a teaser for additional topics presented at SHARE in St. Louis.
Versions and Latest Releases
Version 16: with the newest release of version 16d, we introduce a new input style, called Desirable Inputs Model. In this new model, we allow some input style (called IGood) which are larger the better. Examples include number of electric vehicles in an environmental model, the number of test takers in vaccine development model, etc. For more details, go to newsletter 20.
More Related Content
Similar to Intel® Tiber™ Developer Cloud Overview (30 min).pdf
The document discusses accelerating cloud services. It notes that today's challenges for IT include rapid service delivery through cloud and devices. Big data, cloud computing, and high-performance computing are clear trends shaping enterprises. The cloud provides opportunities to extract value from data but also poses big challenges. The journey to cloud is inevitable as it addresses pressures on IT organizations from business leaders. The document advocates re-architecting the datacenter with cloud and software-defined infrastructure to provide agility, optimize resources, and enable new applications and services. It highlights Intel's ongoing investments in datacenter technologies and custom processors for AWS, and provides case studies of how Intel and AWS help customers leverage the power of cloud.
This document discusses Intel's cloud and big data platforms and solutions. It highlights Intel's support for open standards and optimized performance across compute, storage, and networking. It also outlines Intel's goals of maintaining an open Hadoop platform, accelerating innovation through open source software, ensuring security, and establishing benchmarks and reference architectures to foster the evolution of the big data ecosystem.
IBM is presenting several cloud solutions including:
- AMM Migration Service to streamline workload migrations onto Softlayer in 3 sentences or less.
- ICIA which provides high-performance clusters for running enterprise analytics workloads on dedicated bare metal infrastructure preintegrated with analytics tools.
- ICDES which provides an advanced level of data encryption and fault tolerance for data security needs using AES-256 encryption and data splitting.
Intels presentation at blue line industrial computer seminarBlue Line
This document provides an overview of Intel Corporation in 2014. It discusses Intel's mission to bring smart, connected devices to everyone using Moore's Law. Over 75% of Intel's business is outside the US, with key focus areas including data center, client, ultra-mobile, and wearables/IoT. Intel has a track record of executing Moore's Law and developing new process technologies like 14nm. The document outlines Intel's various business groups and labs focusing on areas like the internet of things. It provides a roadmap for Intel gateways for IoT and discusses Intel's history and position as the world's largest semiconductor manufacturer.
22by7 and DellEMC Tech Day July 20 2017 - Power EdgeSashikris
The document discusses Dell EMC's PowerEdge server solutions for modern data centers. It introduces the PowerEdge R940, R740-R740xd, R640, C6420, and M640-FC640 servers and highlights their key features. These include expanded processing, memory, storage and I/O capacity, intelligent automation capabilities, integrated security features, and workload optimization options. The servers are presented as providing adaptable, scalable and protected infrastructure for traditional and emerging workloads in the modern data center.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/smarter-manufacturing-with-intels-deep-learning-based-machine-vision-a-presentation-from-intel/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit.
As demand for smarter and more efficient manufacturing is growing, IoT technologies—including sensors, edge devices, gateways, servers and the cloud—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help to reduce labor costs, increase quality and maximize profit. The biggest hindrance to achieving these outcomes is the difficulty in extracting data from vendor-locked and proprietary systems for analytics downstream.
In this presentation, Thimmanaik covers Intel’s approach to developing open, flexible and scalable solutions, including:
• Intel’s technologies such as OpenVINO, Movidius Vision Processor Units, Edge Insights Software (EIS) and deep learning algorithms
• How Intel’s offerings come together in the industrial marketplace with partnerships forged to address the constraints of manufacturing infrastructure
• Real-world examples highlighting defect detection in textile printing (where 90% accuracy at 50 fps was achieved) and smartphone screen production (where false negatives were only 0.6%)
The document provides an overview of IBM's intelligent clusters product. It describes intelligent clusters as integrated cluster solutions provided by IBM that include pre-configured servers, storage, networking components, and cluster management software. The document outlines IBM's server and storage hardware options for intelligent clusters, including rack servers, blade servers, and the iDataPlex system. It also discusses the benefits of IBM's integrated solution approach over alternative methods of assembling cluster components.
Intel® Xeon® Processor E7-8800/4800 v4 EAMG 2.0Intel IT Center
This set of Intel® Xeon® processor E7-8800/4800 v4 family proof points spans several key business segments. The Intel® Xeon® processor E7-8800/4800 v4 product family delivers the horsepower for real-time, high-capacity data analysis that can help businesses derive rapid actionable insights to deliver innovative new services and customer experiences. With high performance, industry’s largest memory, robust reliability, and hardware-enhanced security features, the E7-8800/4800 v4 is optimal for scale-up platforms, delivering rapid in-memory computing for today’s most demanding real-time data and transaction-intensive workloads.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/intel-video-ai-box-converging-ai-media-and-computing-in-a-compact-and-open-platform-a-presentation-from-intel/
Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit.
As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments.
In this presentation, you’ll learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Chuang also explores EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.
Enabling Cross-platform Deep Learning Applications with Intel OpenVINO™Yury Gorbachev
The document discusses Intel's OpenVINOTM toolkit, which enables cross-platform deep learning applications. The toolkit provides a development environment for high performance computer vision and deep learning inference. It allows applications to run on multiple Intel accelerators with a single application binary and without retraining models. This allows for faster time to market, cross-platform portability, and future-proofing of applications.
Microsoft SQL Server - Intel Processors and Microsoft Power Pivot PresentationMicrosoft Private Cloud
The document discusses how PowerPivot running on PCs with Intel Core vPro processors and servers with Intel Xeon processors can provide a high-performance platform for self-service business intelligence. It recommends upgrading client PCs and servers to these Intel processors to optimize the PowerPivot experience and provide benefits like increased performance, security, manageability, and energy efficiency. The document also provides configuration recommendations and next steps for deploying PowerPivot with these hardware upgrades.
This document discusses how telecom companies can leverage artificial intelligence and analytics to drive digital transformation. It identifies key opportunities for AI including improving the customer experience, fraud mitigation, and predictive maintenance. It then outlines the components of a telecom data lake that can support these advanced analytics initiatives. Examples of AI use cases for different telecom business functions like marketing, network operations, and security are also provided. The document argues that a data lake platform optimized for analytics can help telecom companies achieve business and innovation goals through improved operations, new revenue streams, and lower costs.
This document outlines four reasons for building and selling servers using Intel server products:
1) Address specific customer needs and target customer segments by controlling server configurations.
2) Increase earning options through incremental revenues from additional products and services.
3) Differentiate from competition by creating custom solutions and focusing on value over price.
4) Leverage Intel's resources like pre-integrated systems, technical support, and service and warranty programs to make building servers easier.
Webinář: Dell VRTX - datacentrum vše-v-jednom za skvělou cenu / 7.10.2013Jaroslav Prodelal
Dokážete si představit, že byste provozovali své datacentrum v prostředí kanceláře? Ano, je to možné. Společnost Dell uvedla na trh novinku v podobě tzv. datacenter-in-a-box (vše-v-jednom), které je optimalizované (odhlučnění, napájení) pro provoz i v kanceláři, samozřejmě jej můžete dát i do samostatné místnosti.
Dell VRTX kombinuje v jediném 5U šasí výpočetní výkon (až 4 2-CPU servery), diskové úložiště (až 24 HDD) a síť.
Ve webináři vás seznámíme s touto cenově velmi zajímavou novinkou a ukážeme rozdíl mezi tímto řešením a případnými alternativami v době samostaných serverů, diskového pole a síťových switchů.
Agenda:
* co je Dell VRTX?
* segment zákazníků pro VRTX
* co VRTX nabízí
* řešení provozované na VRTX
* technické specifikace
* možná použití
* cena
* aktuální nabídky a promo akce
1. The document introduces the Intel Xeon Scalable platform, which provides the foundation for data center innovation with a 1.65x average performance boost over previous generations.
2. It highlights key advantages of the platform including scalable performance, agility in rapid service delivery, and hardware-enhanced security with near-zero performance overhead.
3. Various workload-optimized solutions are discussed that leverage the platform's performance to accelerate insights from analytics, deploy cloud infrastructure more quickly, and transform networks.
GDG Cloud Southlake #16: Priyanka Vergadia: Scalable Data Analytics in Google...James Anderson
Do you know The Cloud Girl? She makes the cloud come alive with pictures and storytelling.
The Cloud Girl, Priyanka Vergadia, Chief Content Officer @Google, joins us to tell us about Scaleable Data Analytics in Google Cloud.
Maybe, with her explanation, we'll finally understand it!
Priyanka is a technical storyteller and content creator who has created over 300 videos, articles, podcasts, courses and tutorials which help developers learn Google Cloud fundamentals, solve their business challenges and pass certifications! Checkout her content on Google Cloud Tech Youtube channel.
Priyanka enjoys drawing and painting which she tries to bring to her advocacy.
Check out her website The Cloud Girl: https://thecloudgirl.dev/ and her new book: https://www.amazon.com/Visualizing-Google-Cloud-Illustrated-References/dp/1119816327
The document announces the new IBM zEnterprise EC12 hybrid computing system. Key points:
- It provides up to 50% more total system capacity and 101 configurable cores compared to prior models.
- Performance is improved through a new hexa-core 5.5GHz chip design and features like transactional execution.
- New capabilities include flash storage support, encryption, and pattern recognition analytics for system health.
- It supports various workloads and platforms through the zBX blade infrastructure and management tools.
See what's new in IBM mainframe technology through August 2018. This is the newest of the new software mainframe technology. This presentation is a teaser for additional topics presented at SHARE in St. Louis.
Similar to Intel® Tiber™ Developer Cloud Overview (30 min).pdf (20)
Versions and Latest Releases
Version 16: with the newest release of version 16d, we introduce a new input style, called Desirable Inputs Model. In this new model, we allow some input style (called IGood) which are larger the better. Examples include number of electric vehicles in an environmental model, the number of test takers in vaccine development model, etc. For more details, go to newsletter 20.
A General Method for Estimating a Linear Structural Equation System
The substantially upgraded new version marks the golden jubilee of a seminal development in the history of Structure Equation Modeling (SEM). A little over a half century ago Professor Karl Jöreskog published a monograph in the Educational Testing Service (ETS) Research Bulletin series entitled A General Method for Estimating a Linear Structural Equation System, along with the LISREL software program.
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Focused Analysis of Qualitative Interviews with MAXQDA
Step by Step
Focused Analysis of Qualitative Interviews with MAXQDA
Authors: Stefan Rädiker, Udo Kuckartz
Pages: 125
Released: 2020
Language: English
ISBN: 978-3-948768072
DOI: 10.36192/978-3-948768072
This document provides an overview of the MAXQDA 20 manual. It begins with an introduction to MAXQDA and explains that the software allows for qualitative analysis across various disciplines. The manual then provides a getting started guide that outlines the basic functions and interface of MAXQDA in less than 30 minutes. It walks through importing data, coding data, organizing codes, and retrieving coded segments. The getting started guide aims to allow users to quickly begin using MAXQDA's core functionality.
All-in-One Website Security Scanner
Find and detect vulnerabilities at the earliest stage using Acunetix automated web vulnerability scannerFind vulnerabilities in your websites and web APIs
Find vulnerabilities in your websites and web APIs
Highest detection rating of over 4500 vulnerabilities in custom, commercial, and open source apps with nearly 0% false positives.
AcuSensor (IAST) allows you to find and test hidden inputs not discovered during black-box scanning (DAST)
Advanced Crawling & Authentication support gives you the ability to crawl JavaScript websites and SPAs
This document summarizes updates and new features across multiple versions of DEA-Solver software. The key points discussed include:
1) New models have been added to handle negative data, constant returns to scale, and cumulative/adjusted Malmquist indices.
2) Models have been introduced to deal with data variations and uncertainty through resampling techniques and forecasting confidence intervals.
3) Dynamic network models now incorporate carry-over activities between time periods to evaluate long-term efficiency across multiple connected divisions over time.
This document summarizes GPU performance tests of the RiverFlow2D hydraulic model. Four test cases using real river meshes demonstrate speedups of up to 680 times faster than the CPU version. Later generation GPUs like the Tesla V100 and RTX 2080 Ti outperform older GPUs. While the Tesla V100 is fastest, the GTX 1080 Ti offers remarkable acceleration at lower cost. GPU acceleration allows simulating larger domains with finer meshes that were previously impractical due to runtimes.
DEA-Solver-Pro Version 14d- Newsletter17
The latest release of version 14 is 14d, with a new feature SBM Bounded Model as an extention to SBM Max of version 13, which replaced SBM Variation model of version 12. In the real world, there are cases where input resources and/od output expansion are restricted by external constraints. SBM Bounded Model takes care of such situations, so that the outcome of SBM Bounded Model becomes more realistic than before. Note that these SBM models essentially represent KAIZEN improvement. For more details, go to newsletter 17.
Doctor Web is a Russian cybersecurity company founded in 1992 by Igor Daniloff. It is known for creating the popular Dr.Web antivirus software. The company has over 350 employees working across offices in Moscow and St. Petersburg. Doctor Web focuses on antivirus research and development and provides security solutions for both consumers and businesses.
NativeJ is a powerful Java EXE maker. The executable generated by NativeJ is uniquely customized to launch your Java application under Windows. NativeJ is not a compiler! Think of NativeJ-generated executables as supercharged "binary batch files"
需購買相關應用軟體請上 http://www.appcenter.com.tw/ or http://www.cheerchain.com.tw/
Edraw Max - All-In-One Diagram Software
Edraw Max is a versatile diagram software, with features that make it perfect not only for professional-looking flowcharts, org charts, network diagrams and mind maps, but also building plans, business charts, workflows, fashion designs, UML diagrams, electrical engineering diagrams, directional maps and database model diagrams.
EdrawSoft Edraw Max 特別版是一整合圖示繪製軟體,新穎小巧,功能強大,可以很方便的繪製各種專業的流程圖、組織結構圖、網路拓撲圖、傢俱設計圖、商業圖表等。
應用領域:流程圖、網路拓撲圖、組織結構圖、工作流程圖、UML,軟體設計、商業圖表、2D, 3D 圖形、計畫 / 報表、地圖,方向圖、資料庫等。
購買及下載請聯絡
祺荃企業有限公司 - 您可以信賴的軟體供應商
www.cheerchain.com.tw | info@cheerchain.com.tw
Tel : 886-4-2386-3559 Fax : 886-4-2386-3159
線上購買 : http://www.appcenter.com.tw/
Atlas.ti 8 質性分析軟體新功能介紹!
需購買相關應用軟體請上 http://www.appcenter.com.tw/ or http://www.cheerchain.com.tw/
購買請洽 祺荃企業有限公司-您可以信賴的軟體供應商
www.cheerchain.com.tw or www.appcenter.com.tw
Email : info@cheerchain.com.tw Phone : +8864-23863559
NEW VERSION OUT NOW! We are happy to announce that ATLAS.ti 8 is released now! Completely re-designed in nearly every aspect, ATLAS.ti 8 Windows is poised to set new standards for computer-assisted qualitative data analysis. What's new? Find out about the new powerfull features of ATLAS.ti 8 here http://bit.ly/2hDIK0H.
**ATLAS.ti licenses purchased after April 1, 2015 qualify for a FREE UPGRADE
New Features
These are some of the powerful new features:
Under the hood: Clean separation of data layer, application logic, and user interface, latest technology for safe and reliable performance.
Unicode throughout
Undo/Redo (100 steps)
Direct import of Twitter, Endnote, Evernote data
Powerful Visual Query Editor for creating and modifying SmartCodes and SmartGroups
Full project search (former “Word cruncher”) significantly improved with dynamic fade-in/fade-out hit categories
Elegant and trememdously useful new network layout options
Network groups
Memo comments
State-of-the-art, highly intuitive user interface with ribbons, tabbed views, flexible navigation areas.
All tool windows can be freely positioned
Multiple documents
More powerful “margin” than ever, many new interactive functions.
Features Yet To Come
At the time of the RC1 release, the following areas are still missing or incomplete:
Project exchange between ATLAS.ti Mac and ATLAS.ti Windows
Teamwork scenario with central, shared project directories
Non-English user interface
Some specific functionalities (see below)
Functionality still to be added:
Transcription
Document editing
Print documents with margin
Global filters
Interrater reliability
Relative values in code-doc table
XML converter
需購買相關應用軟體請上 http://www.appcenter.com.tw/ or http://www.cheerchain.com.tw/
購買請洽 祺荃企業有限公司-您可以信賴的軟體供應商
www.cheerchain.com.tw or www.appcenter.com.tw
Email : info@cheerchain.com.tw Phone : +8864-23863559
Maxqda12 features -detailed feature comparison for more information about each product
需購買相關應用軟體請上 http://www.appcenter.com.tw/ or http://www.cheerchain.com.tw/
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
2. Intel Confidential
Department or Event Name 2
2
Intel® Tiber™ Developer Cloud
Developers Provides an easy path for developer community,
research & education to access and use Intel-
optimized AI software on Intel’s latest CPUs, GPUs
& deep learning accelerators.
Companies Offers a delivery vehicle to bring new products
based on Intel technologies & products to
market faster. A platform to monetize AI
services.
Partners Provides performance & cost-optimized AI
compute services to internal & external AI SaaS
providers
Ready Access to Intel’s AI Portfolio
Evaluate performance on 4th & 5th Gen Intel® Xeon® processors with Intel®
AMX, Intel® Gaudi® 2 AI accelerators, Intel® Max Series CPUs & GPUs, & Intel®
Flex Series GPUs
Reference & solution designs for OEM & ISV enablement, AI training &
inferencing, & benchmark testing
Increased productivity
Build on top of genAI/LLM software stack optimized for Intel on all major ML
frameworks & popular data science libraries
Start from Intel-optimized Model Zoo popular models, fine-tune to
domain/customer-specific datasets
No lock-in, same models can be used on-prem or in 3rd party CSP
Accelerated TTM & Scale
Agility to adapt to rapidly-evolving technology with new models/services –
LLMs, genAI, multi-modal models
Choose the right-sized platform for AI phase requirements, training, fine-
tuning, transfer learning or inferencing
A pla orm for technology adop on & to accelerate solu ons using Intel products.
Built for enterprises & developers to access the latest Intel CPUs, GPUs & AI accelerators.
Companies use it to develop & deploy Intel-powered AI solutions.
Boutique Cloud Services for AI
3. 3
3
lntel compute services
for third-party AI SaaS
Cloud interface(s)
Cloud Services
Cloud Infrastructure
Intel® Tiber™ Developer Cloud
Portfolio for Customers
For Developers
Get started with Intel hardware and
software
Intel Cloud Portal & APIs
AI Infrastructure & Platform Services (BMaaS, VMs, K8)
For Companies
Benchmark and Deploy AI at scale
Core Services (ticketing, observability, service metering, & chargeback)
Sales Enablement
Ecosystem Development Ecosystem Development
Hardware Services
New platform evaluation & software bringup &
porting (e.g. 4th & 5th Gen Intel® Xeon® processor
accelerators: Intel® AMX, DSA, IAA, QAT etc.)
Enterprise AI benchmark evaluation on Intel®
Gaudi® 2 AI accelerators
HPC benchmark testing on Intel® Data Center
GPU Max Series
Ecosystem partners (e.g., OEMs, CSPs, ISVs)
enabling
Large enterprise customers (data center)
AI Infrastructure Services
LLM model training & optimization
AI model training & inferencing deployment
AI model deployment via CLI/SSH automation
AI container deployment via k8s APIs
Hosting platform for deploying AIaaS
AI disruptors (startups)
Established AI-savvy enterprises
Register at cloud.intel.com
Hardware qualification
and benchmarking
AI training and inference
production workloads
Evaluation
Education
Development
Research
For Partners
AI Infrastructure services for AI SaaS
providers
4. 4
4
Intel AI Hardware Portfolio
Scope & Positioning of Intel® Tiber™ Developer Cloud
Edge and Network AI Inference Client AI Usages
General
Purpose
Available on
Intel® Tiber™
Developer Cloud
Deep Learning
Acceleration
General
Acceleration
General
Purpose
Gaudi: Dedicated Deep Learning Training & Inference
Cloud Gaming, VDI, Media Analytics, Real-
time Dense Video
Parallel Compute, HPC, AI for HPC
Real-time, Medium Throughput, Low
Latency, and Sparse Inference
Medium-to-Small Scale Training
& Fine-tuning
5. 5
5
Intel® Tiber™ Developer Cloud
What’s New – April 2024 update
• Intel® Kubernetes Service was launched for optimizing and running cloud-native AI/ML training and inference workloads.
• During the past months, compute capacity for enterprise customers steadily increased with additional U.S. regions, new state of the art
hardware platforms, and new service capabilities.
• Bare metal as a service (BMaaS) offerings now include large-scale Intel® Gaudi® 2 (128 node) and Intel® Max Series GPU 1100/1550
clusters, and virtual machines (VMs) running on Gaudi 2 AI accelerators.
• Storage as a service (StaaS) including file and object storage is available.
• See Release Notes for more.
Providing access to multiarchitecture systems on the latest Intel® hardware is truly unique—
today, no other cloud service provider provides this.
7. 7
7
Register your account: cloud.intel.com Access documentation & training: console.cloud.intel.com
Intel® Tiber™ Developer Cloud
How It Works - Access
Developer Cloud How-to Videos
Get Started
Gaudi2
Using Jupyter Notebooks
GenAI Notebooks
& more…
8. 8
8
Login to your account: cloud.intel.com
Select Intel hardware: console.cloud.intel.com/hardware
If help is needed, review documentation & training.
For service/technical support: supporttickets.intel.com
Intel® Tiber™ Developer Cloud
How It Works – Access to Resources
9. 9
9
Self-service paying customers Talk to your Intel account lead
Intel® Tiber™ Developer Cloud
User Account Types
Standard Premium Enterprise Enterprise ELA
Registration Contact information Contact information
Credit card
Contact information
Invoicing setup
Contact information
Invoicing setup
Contract & Order form
Cloud services Free tier services
(freemium with guard rails)
Paid-tier services with
hourly rate (list price)
Paid-tier services with
hourly rate (list price)
Paid-tier services with fixed monthly
discounted rate
( ELA contract)
Target user(s)
Individual developer
One-time/infrequent use
Individual/Enterprise developer
Ongoing use
Multi-enterprise developers
Ongoing use
Multi-enterprise developers
Ongoing use
Support Free
Community support
Bundled standard support
Business Hours
Web Ticketing
8-hour response time
Bunded plus support
$29.99/monthly
Business Hours
Phone, Chat, Web Ticketing
4-hour response time
Bunded plus support
10% of contract – billed monthly
24 x 7
Phone, Chat, Web Ticketing
1-hour response time
Cloud credits may be available to facilitate initial use & ramp-up – talk to your Intel account manager
Competitive On-demand Pricing & Discounted Reserved Pricing
11. 11
11
Intel® Tiber™ Developer Cloud
Online Documentation in the Platform
Popular topics
• User account types
• How to use SSH keys
• Tutorials
Guides — Developer Cloud documentation
12. 12
12
Intel® Developer Cloud
Online Documentation
• Popular topics:
• User account types
• How to use SSH keys
• Tutorials
Guides — Developer Cloud Docs documentation (intel.com)
14. 14
14
Differentiators
Intel® Tiber™ Developer Cloud Proof Points
Averagediscount of 20-40% for
bare-metal AI accelerator / GPU SKUs,
compared to CSP offerings
ELA subscription option with reserved
3, 6, & 12-month bare-metal SKU pricing with
further 10-30% discounts
Lower Cost Success Stories
Intel® Gaudi® 2 availability (at scale)
Heterogenous deployment environment w/
AI accelerators, GPUs & Xeon CPUs
Ready-to-use Intel-optimized software stacks
with accelerator libraries & optimized AI
frameworks & models
Unique Capabilities
Intel Confidential
thousands of users… competitive cost savings, continuing growth
15. 15
15
OVERVIEW
Prediction Guard provides an API service to
enterprises enabling them to adopt AI models
and harness LLMs in GenAI applications, and
check for content factuality and toxicity. For its
customers, this reduces risks around reliability,
variability, and security.
PAIN POINTS
Limited service uptime due to costs
WORKLOAD
LLM aaS using Hugging Face models
OLD TECH STACK
GPU: Nvidia A100s
Models: Hugging Face
SOLUTION/NEW TECH STACK
• Intel® Gaudi® 2 AI accelerator on Intel® Tiber™
Developer Cloud
• Models: Hugging Face
• Optimum Habana Library
• Intel® Extension for PyTorch*
• Intel® Extension for Transformers*
The company was able to leverage Gaudi 2 in an
hour with similar performance.
BUSINESS VALUE/RESULTS
• Reduced costs by ~80% by moving from GPU to Gaudi accelerators.
Lower costs mean a better price for its customers
For certain models, costs decreased while throughput increased 2x—
which helps customers using LLMs for GenAI applications generate
outputs faster and more cost-effectively.
• 2x increase in performance on 7B parameter models
• Reduced latency from 8-9 seconds to 4.5 seconds.
• Greater speed, security, scalability, and reliability for its solution in
Intel’s cloud. Prediction Guard is able to protect privacy and
mitigate security and trust issues such as hallucinations, harmful
outputs and prompt injections.
• With its solution hosted in Intel’s cloud, its customers use the
platform (as a backend), which brings revenue to both Prediction
Guard and Intel.
• Use of Intel’s cloud has a measurable impact on the bottom line.
It has a better view of its fixed costs and can conduct more
accurate cost planning.
It can flexibly adjust the models it runs.
Prediction Guard: Derisking LLM Applications, Reducing Cloud
Costs by 80%
LEARN MORE
Prediction Guard De-Risks LLM Applications case
study
"ACC, our valued customer, achieved an impressive milestone by leveragingPrediction Guard. They've efficiently reduced the need for two full-time employeesdedicated to customer experience
during flash sales to just one person working half-time. This strategic optimization has been instrumental, especially during their most critical periods.“
“Our participation in Intel Liftoff…allowed us to explore the art of the possible with Intel Gaudi 2 processors and demonstrate early on that our system could run effectively on Intel Developer Cloud
at the speed and scale we needed.”
Daniel Whitenack, Prediction Guard’s founder/CEO
16. 16
16
OVERVIEW
Advances the marketing/advertising industry through trusted AI
content evaluation with its LLM platform, development toolset
(SeekrFlow) & content analysis/scoringtool (Seekr Align).
PAIN POINTS
Networking, infrastructure, AI workloadsrequired immense
compute capacity, high infrastructure & energy costs.
WORKLOAD
Building, training & deploying advanced LLMs for audio
transcription & diarization, video.
OLD TECH STACK
Regional colocationprovider to host several GPU- and CPU-
enabled systems/on-prem Nvidia GPU A-100s systems (upgrading
to newer GPUs was too expensive).
NEW TECH STACK
Intel® Tiber™ Developer Cloud with different implementations:
Intel® Gaudi® 2 AI accelerators for inference (audio scoring)
Intel® Max Series GPU 1550 for audio transcription &
diarization, optimized by Intel® Extension for PyTorch
Intel Xeon processors (4th current/5th gen in future)
Hugging Face Optimum Habana & Habana PyTorch APIs for
training & inference; Intel® Kubernetes Service
Seekr: Building Trustworthy LLMs for Evaluating
& Generating Content at Scale
BUSINESS VALUE
Cost Reduction & Efficiency: Cost savings through
Intel’s cloud for running AI workloads ranged from
~40% to 400%1
Increased Performance: 20% faster AI training &
50% faster AI inference compared to on-prem
system with current-generation hardware.1 ; GPU
use for audio was significantly faster than on-prem
(more in notes)
Profitability: Seekr’s customers (ie SimpliSafe) are
using our cloud as a backend solution, bringing
revenue to Seekr & Intel.
Scalability: Following integration, Seekr will
leverage large-scale Gaudi 2 clusters with Intel®
Kubernetes Service to train its LLM model and add
CPU/GPU compute capacity.
Strategic Collaboration: offers SeekrAlign & soon
SeekrFlow to developer cloud customers
LEARN MORE: Seekr/Intel case study | Blog | CIO.com article1 | Seekr press release
"This strategic collaboration with Intel allows Seekr to build foundation models at the best price & performanceusing a super-computerof 1,000s of the latest Intel Gaudi chip,
all backed by high bandwidth interconnectivity.” - Rob Clark, Seekr’s President & CTO
“The Seekr-Intelcollaboration unlocks the capabilities of running AI on hybridcompute. Intel GPUs & Intel Gaudi 2 chips are leveragedto train & serve at scale, large- & medium-size transformers.
We saw improved performancefor model training & inferencecomparedto other chips in the market. - Stefanos Poulis, Seekr’s Chief of AI Research & Development
Benchmark Source: Seekr
Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
18. Intel Confidential
Department or Event Name 18
SMG Software SaaS/SATG Software Products & Ecosystem 18
Intel Confidential– InternalUse Only
Intel® Tiber™ Developer Cloud - Additional Resources
Intel Blogs
Trusted AI in Intel® Developer Cloud
Democratizing AI Access with Intel® Developer Cloud
GenAI Essentials
Part 1: LLM Chatbots with Camel 5B & Open Llama 3B v2 on Latest Intel GPU
Part 2: Text-to-Image Stable Diffusion with Stability AI & CompVis models on
Intel GPU
Part 3: Image-To-Image Stable Diffusion with Runway ML & Stability AI on
Intel GPU
Text-to-SQL Generation Using LLMs Fine-Tuned with QLoRA on Intel GPU
Unleash Yor Creativity: Exploring GenAI and Jupyter Notebooks on IntelTiber
Developer Cloud
IDC Infograph: Accelerating Cloud-native AI Development
Intel® Tiber™ Developer Cloud site - cloud.intel.com
• Marketing/lead gen site
• Product Brief
• Release Notes + documentation, educational sessions are in the cloud platform,
accessible with an account
How-to Videos
• Get Started with IntelTiber Developer Cloud
• Gaudi2 Running Hugging-Face on Intel Tiber Developer Cloud
• Gaudi2 on Intel Tiber Developer Cloud
• Get Started Using Jupyter Notebooks on Intel Tiber Developer Cloud
• Generative AI Notebooks on Intel Tiber Developer Cloud
Article & Video: Touring the Intel AI Playground – Inside Intel Developer Cloud -
STH, by Patrick Kennedy, Nov. 2023
Customer Use Cases - case study, articles, videos
• Customer Use Cases deck (internal)
• Prediction Guard: Derisking LLM for Enterprise
• Seekr: Trustworthy LLMs for Evaluating & Generating Content at Scale case study |
Rob Clark video | Pat Condo & Mark Castleman video | Markus Flierl video
4/16/24 Seekr/Intel strategic collaboration 3rd party press release
• Selection Technologies: AI personal assistant
• SiteMana: Revolutionizing Email Generation
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Software Optimization Resources to Boost Deep Learning & GenAI on
Intel® Xeon® Processors
Intel® Extension for PyTorch* Optimizations for CPUs
Intel® Extension for PyTorch for CPUs & GPUs
Performance Data for Training & Inference Using Key Models on 5th Gen Intel® Xeon® processors
Intel Transfer Learning – Real-world use cases in computer vision & natural language processing (NLP)
Classical ML – Intel AI Model Library, pre-trained models, sample scripts, best practices, & step-by-step tutorials
AI Reference Kits – Open source kits that help enterprises target specific challenges in energy/utilities, financial services, health & life sciences, retail,
semiconductor, & more industries.
Introduce AI into applications easier & accelerate deployment with a shorter workflow & performance improvements
Includes model code, training data, instructions for ML pipelines, libraries & oneAPI components - built on AI application tools data scientists & developers
Optimize AI Inferencing & Computer Vision, Increase Performance, Streamline Deployment
Intel® OpenVINO™ toolkit – Accelerates AI inference with lower latency & higher throughput while maintaining accuracy, reducing model footprint, & optimizing
hardware use
OpenVINO toolkit 2024 – Getting started
OpenVINO toolkit examples – A collection of ready-to-run Jupyter notebooks for learning & experimenting with OpenVINO toolkit
Optimize Intel® Advanced Matrix Extensions (Intel® AMX) Performance
Tuning Guide for AI on 4th Gen Intel Xeon processors
Accelerate PyTorch* Training & Inference Performance Using Intel AMX
Tuning Guide for BERT-based AI Inference with Intel AMX on 4th Gen Intel Xeon processors
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SynapseAI Software Suite: Designed for Performance & Ease of Use
for Intel® Gaudi® 2 AI Accelerators
Shared software suite for training & inference
• Start running on Gaudi accelerators with minimal code changes
• Integrated with PyTorch* & TensorFlow*
• Rich library of performance-optimized kernels
• Advanced users can write their custom kernels
• Docker container images & how to install
• Software Support Matrix
• Gaudi Developer Site & Getting Started documentation
• Gaudi Developer Forum
• Habana/Gaudi AI reference models
• Training & Inference Performance of reference models
Memory-Efficient Training on Gaudi with DeepSpeed
Create you own kernels with TPC
Optimum Habana for Hugging Face transformers
Port Code Easily from CUDA* to SynapseAI > PyTorch Model Porting
Resources to bootstrap developers on Gaudi 2 with container images, reference models & published performance