The document discusses several demos of hardware accelerated machine learning inference:
- A heavy edge demo showing hardware accelerated inferencing on the edge using a Minnow Board.
- A drone app creation demo.
- A vision AI developer kit demo.
Train your Computer Vision model in the cloud and export it to run anywhereMicrosoft Tech Community
CustomVision.ai makes it easy to train your model in the cloud, then easily export it to containers that can run anywhere. Join us to also learn about exporting via ONNX format, and using your Custom Vision model in a variety of apps.
In this demo heavy session you will learn what’s available for modern IoT developers. Azure IoT Hub, Device Provisioning Service, Time Series Insight, Azure Location Based Services, Visual Studio Code will all be put to contribution and you won’t believe all that can be achieved in only 60 minutes.
Windows IoT: Accelerate the Intelligent Edge with the Windows AI PlatformMicrosoft Tech Community
Learn how to create powerful Intelligent Edge solutions on Windows. We'll show how you can use the Windows AI Platform to accelerate Azure ML workloads with DirectX 12 GPUs. Learn how you can use Windows to maintain and support your IoT solutions for years to come. We'll show the newest Windows services to gather telemetry about your devices and control device updates to suit your schedule.
Cybersecurity is important in any software solution. It’s even more important in the Internet of Things. This session takes you through building and prototyping secure, Internet to Things solutions using Azure Sphere; the Linux-based, secured, connected, crossover microcontroller unit (MCU) from Microsoft. We’ll look at securing Azure Sphere devices, writing and deploying code, and communicating with Azure IoT Hub. You’ll leave this session better prepared to build more highly secured IoT solutions using Microsoft Azure.
Internet of Things on Azure in Global Azure Bootcamp 2016 - Chennai. Session covered with Live Demo on Azure IoThub, stream Analytics, storage table and Power BI.
Topics of this presentation:
- Fundamental concepts and principles.
- General architecture guidance.
- IoT applications component design.
- Cross-cutting issues.
This presentation by Andrii Antilikatorov (Consultant, Engineering, GlobalLogic) was delivered at GlobalLogic Kharkiv .NET TechTalk #1 on May 24, 2019.
Train your Computer Vision model in the cloud and export it to run anywhereMicrosoft Tech Community
CustomVision.ai makes it easy to train your model in the cloud, then easily export it to containers that can run anywhere. Join us to also learn about exporting via ONNX format, and using your Custom Vision model in a variety of apps.
In this demo heavy session you will learn what’s available for modern IoT developers. Azure IoT Hub, Device Provisioning Service, Time Series Insight, Azure Location Based Services, Visual Studio Code will all be put to contribution and you won’t believe all that can be achieved in only 60 minutes.
Windows IoT: Accelerate the Intelligent Edge with the Windows AI PlatformMicrosoft Tech Community
Learn how to create powerful Intelligent Edge solutions on Windows. We'll show how you can use the Windows AI Platform to accelerate Azure ML workloads with DirectX 12 GPUs. Learn how you can use Windows to maintain and support your IoT solutions for years to come. We'll show the newest Windows services to gather telemetry about your devices and control device updates to suit your schedule.
Cybersecurity is important in any software solution. It’s even more important in the Internet of Things. This session takes you through building and prototyping secure, Internet to Things solutions using Azure Sphere; the Linux-based, secured, connected, crossover microcontroller unit (MCU) from Microsoft. We’ll look at securing Azure Sphere devices, writing and deploying code, and communicating with Azure IoT Hub. You’ll leave this session better prepared to build more highly secured IoT solutions using Microsoft Azure.
Internet of Things on Azure in Global Azure Bootcamp 2016 - Chennai. Session covered with Live Demo on Azure IoThub, stream Analytics, storage table and Power BI.
Topics of this presentation:
- Fundamental concepts and principles.
- General architecture guidance.
- IoT applications component design.
- Cross-cutting issues.
This presentation by Andrii Antilikatorov (Consultant, Engineering, GlobalLogic) was delivered at GlobalLogic Kharkiv .NET TechTalk #1 on May 24, 2019.
From cars, to thermostats, through media players and embedded controllers, devices are being connected to the Internet at a furious pace. This session will discuss and demonstrate and coding practices from live Azure customers.
Azure IoT Hub is a fully managed service that enables reliable and secure bidirectional communications between millions of IoT devices and a solution back end. Azure IoT Hub:
• Provides reliable device-to-cloud and cloud-to-device messaging at scale
• Enables secure communications using per-device security credentials and access control
• Includes device libraries for the most popular languages and platforms
In this webinar, you can learn about how to set up and start working with an Azure IoT Hub and explore all the capabilities that IoT Hub provides to communicate with your devices.
Internet of Things is not a fad. You may consider it a phenomenon, but nowadays it is a reality that is consolidating day after day. If you think it's not true, maybe it's because in our territory we have not arrived yet. But it would be even now.
In this workshop, you will be able to experiment with the creation of a Cloud in Azure infrastructure to connect devices to gather data, analyze them, and possibly perform actions on the device itself.
In the workshop, we will use sensors and actuators to connect to an Arduino. During the workshop we will understand what it means to use Arduino, Raspberry Pi and then a real device.
We'll make an overview of the Azure services needed to collect data from IoT devices, an introduction to the tools and programming languages that are needed.
Target
The ultimate goal is to bring home a simple but functional solution, so that you can continue to experiment and then understand how the IoT can enter your business.
Contents
• Introduction to the Internet of Things
o What it means device
o What Cloud means
o What it means to connect a device to the cloud
• Azure as Cloud Platform for the Internet of Things
or Azure IoT Hub
or Azure Functions and C #
or Azure SQL Database
or Azure Storage
or Azure App Service
• Arduino as a platform to prototype an IoT device
o ESP8266 microcontroller
o Arduino's development environment
o Connect sensors and actuators
o Write a program
Join Joseph Sirosh, Corporate Vice President of the Cloud AI Platform, for a deep dive into the AI platform and exciting AI use cases. Joseph will showcase how every developer can infuse intelligence into their applications and create amazing new experiences with AI. In this exciting overview, you will learn about the application of AI technologies in the cloud. We will help you understand how to add pre-built AI capabilities like object detection, face understanding, translation and speech to applications. We will show how developers can build Cognitive Search applications that understand deep content in images, text and other data. We will also show how the platform can be used to build your own custom AI models for predictive applications and how to use the Azure platform to accelerate machine learning. Joseph will also show how companies assemble end-to-end systems of intelligence using the rich variety of data and application development services on Azure.
MongoDB IoT City Tour STUTTGART: The Microsoft Azure Platform for IoTMongoDB
Presented by, Dr Christian Geuer-Pollmann, Senior Technology Evangelist at Microsoft.
The presentation gives a solid overview to the Microsoft Azure platform, with a special emphasis on scenarios for IoT workloads. First, Christian provides an introduction to Microsoft Azure’s IaaS compute and networking infrastructure (i.e. virtual machines, virtual networks, load balancers and HA concepts). The second part of the presentation focuses on higher-order services in Azure, such as relational data bases, machine learning, search, and NoSQL offerings. Last, Christian explains how the Azure Service Bus and the Intelligent Systems Services fit into the overall IoT landscape.
Topics of this presentation:
- Basics and best practices of developing single-page applications (SPA) and Web API Services on Microsoft .NET -
- Core with Docker and Linux.
- PowerShell Core automated builds.
- Markdown/PDF documentation.
- Documentation of public interfaces with Swagger/OAS/YAML.
- Automated testing of SPA on Protractor and testing the Web API on Postman/Newman.
This presentation by Sergii Fradkov (Consultant, Engineering), Andrii Zarharov (Lead Software Engineer, Consultant), Igor Magdich (Lead Test Engineer, Consultant) was delivered at GlobalLogic Kharkiv .NET TechTalk #1 on May 24, 2019.
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...James Serra
Discover, manage, deploy, monitor – rinse and repeat. In this session we show how Azure Machine Learning can be used to create the right AI model for your challenge and then easily customize it using your development tools while relying on Azure ML to optimize them to run in hardware accelerated environments for the cloud and the edge using FPGAs and Neural Network accelerators. We then show you how to deploy the model to highly scalable web services and nimble edge applications that Azure can manage and monitor for you. Finally, we illustrate how you can leverage the model telemetry to retrain and improve your content.
From cars, to thermostats, through media players and embedded controllers, devices are being connected to the Internet at a furious pace. This session will discuss and demonstrate and coding practices from live Azure customers.
Azure IoT Hub is a fully managed service that enables reliable and secure bidirectional communications between millions of IoT devices and a solution back end. Azure IoT Hub:
• Provides reliable device-to-cloud and cloud-to-device messaging at scale
• Enables secure communications using per-device security credentials and access control
• Includes device libraries for the most popular languages and platforms
In this webinar, you can learn about how to set up and start working with an Azure IoT Hub and explore all the capabilities that IoT Hub provides to communicate with your devices.
Internet of Things is not a fad. You may consider it a phenomenon, but nowadays it is a reality that is consolidating day after day. If you think it's not true, maybe it's because in our territory we have not arrived yet. But it would be even now.
In this workshop, you will be able to experiment with the creation of a Cloud in Azure infrastructure to connect devices to gather data, analyze them, and possibly perform actions on the device itself.
In the workshop, we will use sensors and actuators to connect to an Arduino. During the workshop we will understand what it means to use Arduino, Raspberry Pi and then a real device.
We'll make an overview of the Azure services needed to collect data from IoT devices, an introduction to the tools and programming languages that are needed.
Target
The ultimate goal is to bring home a simple but functional solution, so that you can continue to experiment and then understand how the IoT can enter your business.
Contents
• Introduction to the Internet of Things
o What it means device
o What Cloud means
o What it means to connect a device to the cloud
• Azure as Cloud Platform for the Internet of Things
or Azure IoT Hub
or Azure Functions and C #
or Azure SQL Database
or Azure Storage
or Azure App Service
• Arduino as a platform to prototype an IoT device
o ESP8266 microcontroller
o Arduino's development environment
o Connect sensors and actuators
o Write a program
Join Joseph Sirosh, Corporate Vice President of the Cloud AI Platform, for a deep dive into the AI platform and exciting AI use cases. Joseph will showcase how every developer can infuse intelligence into their applications and create amazing new experiences with AI. In this exciting overview, you will learn about the application of AI technologies in the cloud. We will help you understand how to add pre-built AI capabilities like object detection, face understanding, translation and speech to applications. We will show how developers can build Cognitive Search applications that understand deep content in images, text and other data. We will also show how the platform can be used to build your own custom AI models for predictive applications and how to use the Azure platform to accelerate machine learning. Joseph will also show how companies assemble end-to-end systems of intelligence using the rich variety of data and application development services on Azure.
MongoDB IoT City Tour STUTTGART: The Microsoft Azure Platform for IoTMongoDB
Presented by, Dr Christian Geuer-Pollmann, Senior Technology Evangelist at Microsoft.
The presentation gives a solid overview to the Microsoft Azure platform, with a special emphasis on scenarios for IoT workloads. First, Christian provides an introduction to Microsoft Azure’s IaaS compute and networking infrastructure (i.e. virtual machines, virtual networks, load balancers and HA concepts). The second part of the presentation focuses on higher-order services in Azure, such as relational data bases, machine learning, search, and NoSQL offerings. Last, Christian explains how the Azure Service Bus and the Intelligent Systems Services fit into the overall IoT landscape.
Topics of this presentation:
- Basics and best practices of developing single-page applications (SPA) and Web API Services on Microsoft .NET -
- Core with Docker and Linux.
- PowerShell Core automated builds.
- Markdown/PDF documentation.
- Documentation of public interfaces with Swagger/OAS/YAML.
- Automated testing of SPA on Protractor and testing the Web API on Postman/Newman.
This presentation by Sergii Fradkov (Consultant, Engineering), Andrii Zarharov (Lead Software Engineer, Consultant), Igor Magdich (Lead Test Engineer, Consultant) was delivered at GlobalLogic Kharkiv .NET TechTalk #1 on May 24, 2019.
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...James Serra
Discover, manage, deploy, monitor – rinse and repeat. In this session we show how Azure Machine Learning can be used to create the right AI model for your challenge and then easily customize it using your development tools while relying on Azure ML to optimize them to run in hardware accelerated environments for the cloud and the edge using FPGAs and Neural Network accelerators. We then show you how to deploy the model to highly scalable web services and nimble edge applications that Azure can manage and monitor for you. Finally, we illustrate how you can leverage the model telemetry to retrain and improve your content.
Windows Server 2016 on pilve-valmis operatsioonisüsteem, mis toetab ettevõtte praegusi töövooge, samal ajal tutvustades uusi tehnoloogiaid, mis teevad pilve ülemineku sujuvaks, kui aeg õige. Millised on põhilised uuendused ja kuidas need ettevõtteid aitavad - nendele küsimustele leiate vastused esitlusest.
Qualcomm is an at-scale company. It powered the smartphone revolution and connected billions of people. It pioneered 3G and 4G, and now it is leading the way to 5G and a new era of intelligent, connected devices. Mobile is going to be the largest machine learning platform on the planet. Come learn how Qualcomm is making efficient on-device machine learning possible, how Qualcomm and Facebook worked closely to support machine learning in Facebook applications, and what’s next for Qualcomm and AI.
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
Awareness presentation on the integration of Network Operations into DevOps and using tools like Ansible and UCS director to automate network operations.
Dev Ops on AWS - Accelerating Software Delivery - AWS-Summit SG 2017Amazon Web Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
People love Visual Studio Code for its superfast performance, lightweight nature and active open source community around it. All of these are now available for Java developers by extensions contributed by individuals and companies such as Red Hat, Microsoft, and Pivotal. By combining a couple of independent extensions, you can create a lightweight working environment just for your Java workload yet powerful enough to almost match the feature richness of existing IDEs.
This sessions shows how you can use Visual Studio Code to develop your Java application. It guides you through all the available extensions so you can later explore then base on your own needs. The session will also introduce how to easily push your Java microservices to cloud within the editor itself.
It about the technical session. I have given a talk so that local people know about the cloud and they feel motivated to work with the cloud. It was basically for newbies who are planning to start their career. I tried to show them who they would be a cloud engineer what's will be their future responsibility and more.
Big Data Adavnced Analytics on Microsoft AzureMark Tabladillo
This presentation provides a survey of the advanced analytics strengths of Microsoft Azure from an enterprise perspective (with these organizations being the bulk of big data users) based on the Team Data Science Process. The talk also covers the range of analytics and advanced analytics solutions available for developers using data science and artificial intelligence from Microsoft Azure.
This session shows an overview of the features and architecture of SQL Server on Linux and Containers. It covers install, config, performance, security, HADR, Docker containers, and tools. Find the demos on http://aka.ms/bobwardms
What is Modern Development? It is developing cross platform with cloud services. Learn how you can with tools from Microsoft. Learn about Open Source capabilities as well as Visual Studio Code. See how the Microsoft Cloud can power all your modern development apps.
Visual Studio and Xamarin enable developers to create native Android and iOS apps with world-class tools in a fast, familiar, and flexible way. Join this tour of how you can use your existing C# and .NET skills to create fully native apps on every platform.
Best practices with Microsoft Graph: Making your applications more performant...Microsoft Tech Community
Learn how to take advantage of APIs, platform capabilities and intelligence from Microsoft Graph to make your app more performant, more resilient and more reliable
Build interactive emails for Outlook with Actionable Messages using Adaptive Cards. In this session, you will learn how to code a simple and great looking Actionable Message end-to-end.
As organizations deploy additional security controls to combat today’s evolving threats, integration challenges often limit the return of investment. The new security API in the Microsoft Graph makes it easier for enterprise developers and ISVs to unlock insights from these solutions by unifying and standardizing alerts for easier integration and correlation, bringing together contextual data to inform investigations, and enabling automation for greater SecOps efficiency. We will walk through real world examples of applications that leverage the security API to help customers realize the full value of their security investments.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Assuring Contact Center Experiences for Your Customers With ThousandEyes
AI + IoT: building, deploying, and managing you custom AI on the edge
1.
2.
3. • Heavy Edge Demo – HW accelerated inferencing on the edge
• Minnow Board Demo
• Drone app creation Demo
• Vision AI developer kit demo
4. What engine(s) do you want
to use?
Deployment target
Which experience do you
want?
Build your own or consume pre-
trained models?
Microsoft ML
& AI products
Build your
own
Azure Machine Learning
Code first
(On-prem)
ML Server
On-prem
Hadoop
SQL
Server
(cloud)
AML services (Preview)
SQL
Server
Spark Hadoop Azure
Batch
DSVM Azure
Container
Service
Visual tooling
(cloud)
AML Studio
Consume
Cognitive services, bots
IoT / Edge
AML
Mobile
AML
5. Data Sets &
Catalog
Data Exploration &
Preparation
Model
Development &
Training
Model Package &
Deploy
App Development
& Model Inference
App Flighting &
Analytics
Data Collection
Data Curation
Data Engineer
AI App Dev
Data Scientist
Data Load
Dev Ops
Model Manager
*
6. Ease of Discovery: Find the right model for your needs
Ease of Integration: Use the tools you are familiar with
to create AI apps and manage them
Ease of deployment: Deploy the model easily
Reach of Deployment: Deploy the model anywhere
Single pane of glass for monitoring and
management: All your company models in one place
7. Cloud: Azure Heavy Edge Light Edge
Description
An Azure host that
spans from CPU to GPU
and FPGA VMs
A server with slots to insert CPUs, GPUs, and FPGAs or a X64 or
ARM system that needs to be plugged in to work
A Sensor with a SOC
(ARM CPU, DSPs) and
memory that can
operate on batteries
What runs
model
CPU,GPU or Arria 10
FPGA
Arria 10
FPGA
Nvidia GPU x64 CPU ARM CPU
Hw accelerated
DSP,CPU,GPU
Model package
Native to Windows
and container elsewhere
Windows
Native
- Linux container
- Windows ML
- Linux container
- Windows ML
- Linux
container
- (Ideally) container
- Android Native
- IoS Native
- RT OS
18. Certify support for the target
platform
• Qualcomm: Certify Board QCS 605/603 : Linux
• Board targeted to IoT devices
Incorporate as a first class deployment
target
• Qualcomm SNPE quantized models
Use the same development pipeline
that we use for all IoT Devices
Enable an ecosystem of devices that
use the board
