On May 19, 2020, analyst firm IDC; vendors Intel, MemVerge, Net
App and Penguin Computing; and end-user Credit Suisse, introduced a new category called Big Memory. Big Memory hardware and software together transform scarcity and volatility into abundance, persistence, and high-availability.
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...StampedeCon
At StampedeCon 2014, Jean-Luc Chatelain (DDN) presented 'Big Data: Infrastructure Implications for “The Enterprise of Things”.'
The amount of data in our world has been exploding, and storing and analyzing large data sets—so-called big data—will become a key basis of competition for the new “Enterprise of Things”, underpinning fresh waves of productivity growth, innovation, and consumer surplus. Leaders in every sector – from government to healthcare to finance – will have to grapple with the implications of big data, as data growth continues unabated for the foreseeable future. The quest to make sense of all this big data begins with breaking down data silos within organizations using the cost appropriate, shared infrastructure to ensure optimal extraction and analysis of data, knowledge and insight.
As the leading global e-commerce service, PayPal has transformed the way the company leverages big data storage and hyper-scale analytics to help improve both the safety and purchasing experiences of its online customers. In this discussion, using real-world customer examples such as PayPal, we will explore what Big Data Storage is from high performance file sharing to long-term archiving, as well as ways to break down data silos to reduce the cost and storage complexity of managing demanding workflows and data environments. We will demonstrate how hyperscale storage can enable near-real-time, stream analytics processing for behavioral and situational modeling, as well as for fraud detection, marketing and systems intelligence. We will ask what the greatest barriers to effective business analytics are and how today’s data analytics platforms, including Hadoop, Vertica, Python and Java, can be optimized to enable machine learning, event streaming, forecasting, and reduce overhead associated with human intervention. You’ll come away from this session understanding the infrastructure implications and options for organizations looking to maximize their big data for competitive advantage.
The emergence of social, mobile, cloud, big data and analytics are fundamentally changing how we live, work and interact.
Mobile devices are ubiquitous. Changing consumer behaviors, supplanting PCs, generating massive amounts of data and putting new demands on the enterprise to not only support these devices but to adjust the way they do business.
Social technologies are changing the way we interact, communicate and share information – equally generating vast amounts of data and impacting business as they try to unlock the full potential social has to offer.
Cloud technologies bring new scale and efficiency to service delivery and enable more agile ways of doing business and drive business model innovation. For companies, It also brings information and applications to people at the right time and place.
All of these trends are fueling an explosion of data. Not only do enterprises need to store, manage and secure this data, they also need to derive meaningful insight from these vast amounts of data. Data is the basis of significant opportunity and a source of competitive advantage for all organizations. Data is a new economic asset, the next natural resource.
These trends are spawning new workloads, business processes and technology deployments that are putting unprecedented demands on our IT environments.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Big Data: Infrastructure Implications for “The Enterprise of Things” - Stampe...StampedeCon
At StampedeCon 2014, Jean-Luc Chatelain (DDN) presented 'Big Data: Infrastructure Implications for “The Enterprise of Things”.'
The amount of data in our world has been exploding, and storing and analyzing large data sets—so-called big data—will become a key basis of competition for the new “Enterprise of Things”, underpinning fresh waves of productivity growth, innovation, and consumer surplus. Leaders in every sector – from government to healthcare to finance – will have to grapple with the implications of big data, as data growth continues unabated for the foreseeable future. The quest to make sense of all this big data begins with breaking down data silos within organizations using the cost appropriate, shared infrastructure to ensure optimal extraction and analysis of data, knowledge and insight.
As the leading global e-commerce service, PayPal has transformed the way the company leverages big data storage and hyper-scale analytics to help improve both the safety and purchasing experiences of its online customers. In this discussion, using real-world customer examples such as PayPal, we will explore what Big Data Storage is from high performance file sharing to long-term archiving, as well as ways to break down data silos to reduce the cost and storage complexity of managing demanding workflows and data environments. We will demonstrate how hyperscale storage can enable near-real-time, stream analytics processing for behavioral and situational modeling, as well as for fraud detection, marketing and systems intelligence. We will ask what the greatest barriers to effective business analytics are and how today’s data analytics platforms, including Hadoop, Vertica, Python and Java, can be optimized to enable machine learning, event streaming, forecasting, and reduce overhead associated with human intervention. You’ll come away from this session understanding the infrastructure implications and options for organizations looking to maximize their big data for competitive advantage.
The emergence of social, mobile, cloud, big data and analytics are fundamentally changing how we live, work and interact.
Mobile devices are ubiquitous. Changing consumer behaviors, supplanting PCs, generating massive amounts of data and putting new demands on the enterprise to not only support these devices but to adjust the way they do business.
Social technologies are changing the way we interact, communicate and share information – equally generating vast amounts of data and impacting business as they try to unlock the full potential social has to offer.
Cloud technologies bring new scale and efficiency to service delivery and enable more agile ways of doing business and drive business model innovation. For companies, It also brings information and applications to people at the right time and place.
All of these trends are fueling an explosion of data. Not only do enterprises need to store, manage and secure this data, they also need to derive meaningful insight from these vast amounts of data. Data is the basis of significant opportunity and a source of competitive advantage for all organizations. Data is a new economic asset, the next natural resource.
These trends are spawning new workloads, business processes and technology deployments that are putting unprecedented demands on our IT environments.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Ομιλία- Παρουσίαση: Ανδρέας Τσαγκάρης, VP & Chief Technology Officer, Performance Technologies
Τίτλος Παρουσίασης: “Big Data on Linux on Power Systems”
Learn how you can increase performance in IBM Cognos. Learn about PureData for Analytics, why it's fast and how to integrate with IBM Cognos Analytics. For more information about PureData for Analytics and for a free whitepaper, email info@crescointl.com, or visit http://www.crescointl.com.
The Future of Enterprise IT: DevOps and Data Lifecycle Managementactifio
Enterprise IT is changing, and with it are the ways we manage our data and develop new applications. Infrastructure has become commoditized, while applications have become more strategic to the business, presenting new challenges for organizations to overcome. The solution: DevOps and Data Lifecycle Management.
In this slideshow we'll define the role of DevOps and Data Lifecycle Management within the enterprise and explore how they can transform businesses to enable faster application development, shorter time to market, and dramatic savings in infrastructure.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Converged Everything, Converged Infrastructure delivering business value and ...NetAppUK
Converged Infrastructure solutions for Cloud create business value for many customers worldwide by shortening and simplifying the path to infrastructure adoption, and time to productivity. In this session hear Alan Watson, NetApp Alliances Business Development Manager, Julian Datta, Microsoft Private Cloud Channel Development Manager and Andrew Gunyon, Cisco Data Centre Sales Manager discuss the value of very well integrated software and converged infrastructure. Hear them share their experiences, along with the latest developments in FlexPod Converged Infrastructure.
Optimizing User-Experience with Carrier-Neutral ColocationEquinix
In today’s rapidly changing and resource constrained world, aligning your IT Infrastructure with the goals of the business while driving value is challenging. Join this special case study presentation to learn how Contact Solutions has leveraged Equinix’s global platform of secure, highly-connected, carrier-neutral data centers to boost application performance, address compliance requirements, enhance IT and business flexibility, and lower costs.
IBM Cloud for Financial Services is an API and data exchange that brings together FinTech and financial services institutions to rapidly build the finance apps of the future. Developers can share innovative applications, APIs, data and content on a secure, cloud platform designed for banks, financial market institutions, and insurance companies. Developers can build with our finance APIs, partner APIs, and IBM’s leading technologies like blockchain, cognitive analytics, and big data. Visit developer.ibm.com/finance
Intelligent Business Process Management Suites (iBPMS) - The Next-Generation ...Kai Wähner
I had a talk at ECSA 2014 in Vienna: The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS), sometimes also abbreviated iBPM. I want to share the slides with you. The slides include an example how to implement iBPMS easily with the TIBCO middleware stack: TIBCO AMX BPM + BusinessWorks + StreamBase + Tibbr.
Building a hybrid, dynamic cloud on an open architectureDaniel Krook
Daniel Krook's version of the IBM open cloud overview, focusing on the business and technological imperatives driving the IBM strategy for customers.
Presented 9/30 and 10/1 at Boston TechFest, Cambridge, MA.
Next Platform of Manufacturing (Wizcore_Nexpom eng v3.0)Wizcore
It is one of a platform for manufacturing industry. In the factory, in process line, there are many data that you want to manage.You can see most of quality data in nexpom.
The Third Platform: Paul Maritz is breeding new technology for a new IT eraVMware Tanzu
Paul Maritz sits down for an interview to discuss his viewpoints on the third platform and explains how open systems are critical for the future of IT.
New Business Applications Powered by In-Memory Technology @MIT Forum for Supp...Paul Hofmann
Talk about 4 leading edge projects:
1) Optimal pricing for energy management, online pricing, and truck scheduling @Princeton University
2) Infinite DRAM - RAMCloud @Stanford University
Applications: Extremely low latency and very high bandwidth
a) Facebook like problems with high read AND write rate,
b) advanced analytics, c) what-if scenarios for demand planning
3) Hybrid In-Memory Store @MIT CSAIL
4) Multithreading Real Time Event Platform @MIT Auto-ID Lab
500k events/s and millions of threads in-memory or distributed used for automatic meter reading, online billing, mobile billing and Smart Grid
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Ομιλία- Παρουσίαση: Ανδρέας Τσαγκάρης, VP & Chief Technology Officer, Performance Technologies
Τίτλος Παρουσίασης: “Big Data on Linux on Power Systems”
Learn how you can increase performance in IBM Cognos. Learn about PureData for Analytics, why it's fast and how to integrate with IBM Cognos Analytics. For more information about PureData for Analytics and for a free whitepaper, email info@crescointl.com, or visit http://www.crescointl.com.
The Future of Enterprise IT: DevOps and Data Lifecycle Managementactifio
Enterprise IT is changing, and with it are the ways we manage our data and develop new applications. Infrastructure has become commoditized, while applications have become more strategic to the business, presenting new challenges for organizations to overcome. The solution: DevOps and Data Lifecycle Management.
In this slideshow we'll define the role of DevOps and Data Lifecycle Management within the enterprise and explore how they can transform businesses to enable faster application development, shorter time to market, and dramatic savings in infrastructure.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Converged Everything, Converged Infrastructure delivering business value and ...NetAppUK
Converged Infrastructure solutions for Cloud create business value for many customers worldwide by shortening and simplifying the path to infrastructure adoption, and time to productivity. In this session hear Alan Watson, NetApp Alliances Business Development Manager, Julian Datta, Microsoft Private Cloud Channel Development Manager and Andrew Gunyon, Cisco Data Centre Sales Manager discuss the value of very well integrated software and converged infrastructure. Hear them share their experiences, along with the latest developments in FlexPod Converged Infrastructure.
Optimizing User-Experience with Carrier-Neutral ColocationEquinix
In today’s rapidly changing and resource constrained world, aligning your IT Infrastructure with the goals of the business while driving value is challenging. Join this special case study presentation to learn how Contact Solutions has leveraged Equinix’s global platform of secure, highly-connected, carrier-neutral data centers to boost application performance, address compliance requirements, enhance IT and business flexibility, and lower costs.
IBM Cloud for Financial Services is an API and data exchange that brings together FinTech and financial services institutions to rapidly build the finance apps of the future. Developers can share innovative applications, APIs, data and content on a secure, cloud platform designed for banks, financial market institutions, and insurance companies. Developers can build with our finance APIs, partner APIs, and IBM’s leading technologies like blockchain, cognitive analytics, and big data. Visit developer.ibm.com/finance
Intelligent Business Process Management Suites (iBPMS) - The Next-Generation ...Kai Wähner
I had a talk at ECSA 2014 in Vienna: The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS), sometimes also abbreviated iBPM. I want to share the slides with you. The slides include an example how to implement iBPMS easily with the TIBCO middleware stack: TIBCO AMX BPM + BusinessWorks + StreamBase + Tibbr.
Building a hybrid, dynamic cloud on an open architectureDaniel Krook
Daniel Krook's version of the IBM open cloud overview, focusing on the business and technological imperatives driving the IBM strategy for customers.
Presented 9/30 and 10/1 at Boston TechFest, Cambridge, MA.
Next Platform of Manufacturing (Wizcore_Nexpom eng v3.0)Wizcore
It is one of a platform for manufacturing industry. In the factory, in process line, there are many data that you want to manage.You can see most of quality data in nexpom.
The Third Platform: Paul Maritz is breeding new technology for a new IT eraVMware Tanzu
Paul Maritz sits down for an interview to discuss his viewpoints on the third platform and explains how open systems are critical for the future of IT.
New Business Applications Powered by In-Memory Technology @MIT Forum for Supp...Paul Hofmann
Talk about 4 leading edge projects:
1) Optimal pricing for energy management, online pricing, and truck scheduling @Princeton University
2) Infinite DRAM - RAMCloud @Stanford University
Applications: Extremely low latency and very high bandwidth
a) Facebook like problems with high read AND write rate,
b) advanced analytics, c) what-if scenarios for demand planning
3) Hybrid In-Memory Store @MIT CSAIL
4) Multithreading Real Time Event Platform @MIT Auto-ID Lab
500k events/s and millions of threads in-memory or distributed used for automatic meter reading, online billing, mobile billing and Smart Grid
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
VMblog - 2018 #VDI and Desktop Virtualization #Predictions from 11 Industry E...vmblog
Want to better understand what the world of desktop virtualization will look like throughout 2018? Read #predictions from 11 of the industry's leading experts to learn more about #VDI, #DaaS, #ThinClients and more! View this Slideshare to hear from industry thought leaders from companies like Cortado, dinCloud, eG Innovations, IGEL Technologies, Liquidware, NVIDIA, Uila and more. Make sure to also read the more than 280+ other expert predictions from technologies across #virtualization, #cloudcomputing, #hyperconverged, #IoT, #security, etc. here: http://bit.ly/2DQi2OT at VMblog.com.
ADV Slides: 2021 Trends in Enterprise AnalyticsDATAVERSITY
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the mission will be executed, and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and Data Architecture. William will kick off the third year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Shamit khemka list outs 6 technology trends for 2015SynapseIndia
Originally, We figured we'd reel off some predictions about the coming year. But we're at one of those rare junctures when a bunch of trends have begun to crystallize and We're pretty sure many of them will persist for more than 12 months. Shamit Khemka list outs technology trends.
SynapseIndia technologies and data-driven solutions help our clients grow their businesses. Take a look at the technologies that we specialize in: https://www.synapseindia.jobs/strengths-technologies/
2016 Sept 1st - IBM Consultants & System Integrators Interchange - Big Data -...Anand Haridass
An unprecedented increase in the use of digital devices is causing an explosion in the amount of data generated & captured by businesses. The need to extract economic value from all this "Big Data", that has the potential to transform businesses completely, is immense and drives a whole slew of new workloads. Organizations need to continuously align strategy, business processes and infrastructure investments to derive these insights. This session will talk to how solutions based on POWER deliver this in a cost-effective, open, scalable, high performing and reliable manner.
Do more clouds = better scalability, availability, flexibility NuoDB
Do More Clouds = Better Scalability, Availability, Flexibility?
Whether you are moving mission critical applications to the cloud or building new applications directly in the cloud, you must think ahead. Regulations, inter-cloud operations, fault tolerance, and disaster recovery are all critical components to your success. How can you ensure that you build for future flexibility and high availability? How do you keep infrastructure and operations cost reasonable and predictable? Join Ariff Kassam, CTO from NuoDB and Martin Bailey, Director of Innovation at Temenos for this educational webinar as they explore multi-cloud deployment models in-depth.
You will learn:
How you can benefit from multi-cloud deployments
Why cloud-native is key to success
How cloud-agnostic solutions impact deployment options
What’s driving cloud priorities for financial organizations
How to maintain high availability in a cloud-first environment
Tech Talk: Moneyball - Hitting real-time apps out of the park with Big MemoryMemVerge
A webinar hosted by MemVerge, Intel, NVIDIA, and The Next Platform. Timothy Prickett Morgan, co-editor of The Next Platform, provides his view of the Big Memory category. Mark DeMarseilles of Intel gives an update covering new Optane Persistent Memory Series 200. Rob Davis of NVIDIA explains why Big Memory needs low latency networks to distribute messages, to replicate data, and for high-availability, all without jitter. The Charles Fan of MemVerge describes Memory Machine software and different use cases including faster crash recovery, higher VM density, and high-frequency trading.
Innovating to Create a Brighter Future for AI, HPC, and Big Datainside-BigData.com
In this deck from the DDN User Group at ISC 2019, Alex Bouzari from DDN presents: Innovating to Create a Brighter Future for AI, HPC, and Big Data.
"In this rapidly changing landscape of HPC, DDN brings fresh innovation with the stability and support experience you need. Stay in front of your challenges with the most reliable long term partner in data at scale."
Watch the video: https://wp.me/p3RLHQ-kxm
Learn more: http://ddn.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...actualtechmedia
More and more companies are leveraging the cloud for disaster recovery. After all, the limitless compute resources of the cloud are perfectly suited for disaster recovery. Learn how to easily leverage the cloud for DR.
Analytical Biosciences Accelerates Single Cell Sequencing with Big MemoryMemVerge
Dr. Chris Kang, head of bioinformatics at Analytical Biosciences describes the exponential growth of genomics data and how Big Memory meets the challenge by eliminating IO to storage, and by enabling parallelization of their single-threaded pipeline.
At the Virtual HPC User Forum Special Event, Dr. Gene Cooperman explains why Checpoint-Restarts are needed, the development of Distributed MultiThreaded CheckPointing (DMTC), and how persistent memory will help make DMTC practical to implement.
Live Data: For When Data is Greater than MemoryMemVerge
At the Virtual HPC User Forum Special Event, Kevin Tubbs of Penguin Computing talks about a common HPC problem called DGM (data is greater than memory) and the Live Data solution incorporating Big Memory technology.
At the Virtual HPC User Forum Special Event, CEO of MemVerge, introduces MemVerge and provides and overview of Big Memory Computing and Memory Machine software.
IDC Technology Spotlight: Big Memory Computing Emerges to Better Enable Dat...MemVerge
In this report, Eric Burgener, Research Vice President at IDC provides an overview of key Big Memory market dynamics. He proposes that as real-time analytics workloads become more prevalent, the gap in the memory/storage hierarchy is highlighting a significant market opportunity that is addressed by Big Memory Computing.
Eric talks about a confluence of market and technology enablers, definitions of big memory technologies, the benefits of Big Memory, and key early use cases for Big Memory Computing. Read this report if you want a 3600 view of Big Memory in 10 minutes.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
2. Presentation Team
Joe Barnes
Director
MemVerge
Eric Burgener
VP
IDC
Kristie Mann
Sr. Director
Intel
Charles Fan
CEO
MemVerge
Kevin Tubbs
Sr. VP
Penguin Computing
Darrell Westbury
Sr. Director
Credit Suisse
Brett Roscoe
VP
NetApp
3. Agenda
Time Topic Presenter
9:00 – 9:05 Introductions Joe Barnes, MemVerge
9:05 – 9:15 New “Big Memory” Category Eric Burgener, IDC
9:15 – 9:25 Re-Architecting The Data Landscape Kristie Mann, Intel
9:25 – 9:35 Big Memory Software: Memory Machine Charles Fan, MemVerge
9:35 – 9:45 Why MemVerge? Brett Roscoe, NetApp
9:45 – 9:55 Big Memory: A Case Study Kevin Tubbs, Penguin Computing
9:55 – 10:05 Customer PoV: Where Big Memory Fits Darrell Westbury, Credit Suisse
10:05 – 10:15 Q&A Joe Barnes, MemVerge
19. ➢ New Big Memory Computing category
➢ New round of $19M investment led by Intel Capital, joined by Cisco
Investments, NetApp and SK hynix
➢ Memory Machine™ software available via Early Access Program
What We Announced on May 12
19
20. Our BIG MEMORY vision
All applications live in memory
20
21.
22. Bringing Mission Critical Apps to Big Memory
Data Services
Quick crash recovery
Plug-and-play
No App rewrite needed
Scale Memory
Beyond a single server
22
23. MemVerge Memory Machine™
Software
Subscription
Low Latency
PMEM over RDMA
Virtualizes
DRAM & PMEM
Plug Compatible
No re-writes
Replication
23
Memory
Machine
Memory
Machine
Memory
Data Services
ZeroIO™ Snapshot Tiering
24. Uses Cases: Real-Time Workloads
AI/ML analytics and
inferencing like fraud
detection and social media
Latency-sensitive
transactional workloads such
as trading applications
According to IDC, by 2021, 60-70% of the Global 2000 organizations will have at least one mission-critical real-
time workload. Below are just a few examples of use cases that are implementing Big Memory now.
Real-time big data analytics
in financial services,
healthcare, and retail
25. Our mission
Open the door to Big Memory
A world of abundance,
persistence and high availability
25
29. NetApp’s Innovation Continues into the Public Clouds
Only NetApp provides a cloud native shared storage experience on the cloud of your choice
The #1 Platform for Shared Storage, Modern
Workplace, and Continuous Optimization on the
cloud of your choice
▪ #1 Platform for SAP Hana with >200 deployments on Azure and Google Cloud Platform
▪ #1 platform for WVD Enterprise (deployments >200 users)
▪ #1 platform for High Performance Compute
▪ Azure NetApp Files (ANF) is faster than block based premium SSD's
30. NetApp and MemVerge: Continuing our history of innovation
The next evolution in innovation in application and data acceleration
▪ NetApp has a long-term industry view
▪ We constantly leverage in-house and industry innovations
to accelerate the data we manage and the businesses it
drives
▪ The market and competitive transitions are accelerating
with COVID-19
▪ NetApp has been working to accelerate applications that
are data centric including AI and machine learning
▪ Near zero latency will drive another round of innovation in
data centric applications
▪ MemVerge is bringing lightning-fast, in-memory support of
tier 1 applications that promises to deliver another
disruption in performance and capabilities
RELENTLESS
INNOVATION
33. Deep Learning Recommendation on Persistent
Memory
Motivation Facebook DLRM
DLRM: An advanced, open source deep learning recommendation model
https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
35. Customer Dynamics
Current Trends & Requirements
Solution
Large model & embedding table size
• Model size to GB level, embedding table
size to TB level
• Multiple models on single server
Fast for online inference service
• Need be finished in tens of цs
Put models and embedding tables into DRAM
цs
Model Size GB
Embedding Table Size TB
37. Case Study: AI / Machine Learning – Facebook’s DLRM
Context:
• Scalable Model and Data Capabilities
• Enterprise Class Data Services
• Big Memory Computing Performance
Demands
➢ Deep learning recommendation model for personalization and recommendation systems
• Consists of dense and sparse features
• Dense feature: a vector of floating-point values
• Sparse feature: a list of sparse indices into embedding tables
• Open source:
Background Penguin, MemVerge and Intel Solution
Business Challenge:
• Dynamic and Scalable Production Inferencing
Customer Type: AL / ML Customer
38. Background
Business Challenge:
• Dynamic and Scalable Production Inferencing
Result:
• Customer has state of the art AI/ML Big Memory Platform that is can scale and deliver
performance when Data is Greater than Memory
• Achieved flexible software defined platform Big Memory Computing capabilities and poised
for future dynamic model and data growth
Case Study: AI / Machine Learning – Facebook’s DLRM
Customer Type: AL / ML Customer
Platform:
• Innovative Big Memory Computing platform
for leveraging persistent memory for real-
time, AI/ML and Advanced Analytics and
extensible to all memory – Centric
workloads.
Software:
• Software Defined Architecture extracting
performance benefits of cutting edge
hardware supporting workload portability to
truly compute anywhere with the memory
speeds.
TotalInferenceTime(ms)
Penguin, MemVerge and Intel Solution
~400GB swap on NVMe is on, 20480 samples evaluated
39. • How to improve the fault tolerance of new model publishing?
• Pushing new model into production is risky
• If failed, revert to last workable version ASAP
• Rollback/Model reloading takes time (for large models) due to slow I/O
• Leveraging PMEM’s persistence
• Take a snapshot of the model serving application
• Restore a snapshot without reloading from disk or remote storage
• Snapshot can be published to many serving nodes through our fast pub/sub service
• Solution
• Instantaneous snapshot without interrupting online inference
• Instantaneous rollback without loading and publishing time
• Snapshot, rollback, and recovery are within 1 second
Instant Model Snapshot and Rollback/Recovery for Online Serving
Snapshot
Rollback
Recovery
1 Second
41. Gradients of Memory and Storage
Balancing the Cost of Performance and Density
Type Approx. Latency Density Scale Relative Cost
CPU
Registers 1 clock cycle Bytes N/A (within CPU die)
CPU Cache
L1 Cache 4 clock cycles Kilobytes (210) N/A (within CPU die)
L2 Cache 10 clock cycles Kilobytes (210) N/A (within CPU die)
L3 Cache 20 clock cycles Megabytes (220) Premium (Special CPU SKU)
Main Memory
DRAM 100 nanoseconds (10-9) Gigabytes (230) High
3D XPoint 250 nanoseconds (10-9) Gigabytes (230) Medium-High
Primary Storage
NVMe SSD 150 microseconds (10-6) Terabytes (240) Moderate
SAS SSD 500 microseconds (10-6) Terabytes (240) Reasonable
SAS HDD 3 milliseconds (10-3) Terabytes (240) Low
BETTERPERFORMANCE
HIGHERDENSITY
LOWERCOST
42. Big Memory Lakes are now possible
Aided by ultra-low
latency network
such as RDMA
and/or PCIe bridging
technologies
PMEM
DRAM
Big Memory SW
PMEM
DRAM
PMEM
DRAM
RDMA
Big Memory SW Big Memory SW
RDMA
Enterprise-Class Data Services
MemVerge software
enables memory
pooling and real-
time replication
43. What’s magical and becomes possible in the
near future:
Instantaneous snapshots of
memory, combined with CXL, will
make the dream of dynamically
composable infrastructure
possible.
Pools of Disaggregated Resources
Memory bus technologies,
such as Intel’s Compute
Express Link (CXL) will
further reduce inter-server
latency
44.
45. Thank-you
Try it
Contact andrew.degnan@memverge.com to sign-up for a PoC
Download this presentation at:
https://www.memverge.com/opening-the-door-to-big-memory/
View this webinar on the MemVerge YouTube Channel
https://www.youtube.com/channel/UCLT4fehLcQiW4bfQgrHIlpg/featured