Finding scalable solutions to today’s global challenges requires forward-looking, innovative tools. As environmental, economic, and public health concerns grow, Microsoft Azure addresses these challenges head-on with high-performance computing (HPC), AI, and machine learning. Working behind the scenes in everything from MRI scans to energy management to financial services, these technologies provide customers and developers with innovative solutions that push the boundaries of what’s possible with data and computing, driving widespread growth. pave the way for opportunity. Industries and applications worldwide.
Microsoft Azure is committed to unlocking these new opportunities for our customers by offering the broadest range of NVIDIA GPUs in edge, on-premises, cloud, and hybrid environments.
NVIDIA GTC will demonstrate this commitment by showcasing how Azure’s advanced HPC capabilities and AI/machine learning in the cloud are driving change and making an impact alongside NVIDIA’s latest technology.
The collaboration between Microsoft Azure and NVIDIA was developed with the customer in mind and focused on opening new doors to innovation with graphics processing unit (GPU) acceleration in the cloud.
Click here for details Register now for NVIDIA GTCa free online event from September 19-22, 2022.
Get a Chance to Win an NVIDIA Jetson Nano or Swag Box
At both sessions, you’ll have a chance to win an HPC t-shirt and mug, or a SWAG box containing a Jetson Nano. Join us for these sessions and don’t forget to look for our special link to join!
Microsoft session at NVIDIA GTC
New SDK and CLI for Azure Machine Learning.
Bala Venkataraman, Principal Program Manager at Microsoft, said:
video on demand
Azure Machine Learning is committed to simplifying the adoption of the platform for training and operations. In 2022, we announced general availability of Azure Machine Learning CLI v2 and preview of Azure Machine Learning Python SDK v2. Both releases demonstrate our continued focus on making workflows easier and managing the entire lifecycle, from training a single job to deploying pipelines and models. In this session, learn about key usability and productivity improvements and new features coming with the Azure Machine Learning Command Line Interpreter (CLI) and Software Development Kit (SDK) v2.
Operationalize model training at scale with Azure Machine Learning using multi-node NVIDIA A100 GPUs.
Sharmeelee Bijlani, Program Manager Azure Machine Learning, Microsoft. Razvan Tanase, Principal Engineering Manager Azure Machine Learning at Microsoft, said:
Wednesday, September 21, from 10:00 am to 10:50 am PDT (1:00pm to 1:50pm EDT, 7:00am to 7:50am CET)
The size of deep learning models has grown exponentially in recent years, driving the need to use large data infrastructures, advanced GPUs, and vast amounts of memory to train and fine-tune deep learning models. is rising rapidly. Fortunately, developers can now use simple training pipelines in Azure Machine Learning to train large models running on the latest multi-node NVIDIA GPUs. In this session, we will walk customers through these software innovations through Azure Machine Learning (including his fully optimized PyTorch environment), which offers great performance and an easy-to-use interface for training at scale. He also highlights the power of Azure Machine Learning through experiments using 1,024 A100 Tensor Core GPUs to scale the training of his 2 trillion parameter model with a streamlined user experience at GPU scale of over 1,000.
Watch Party #1: Operationalize Large Model Training with Azure Machine Learning Using Multi-node NVIDIA A100 GPUs.
Mary Howell, NVIDIA.
Wednesday, September 21, 3:00 PM – 3:30 PM PDT
This GTC Watch Party replays production training of large-scale models in Azure Machine Learning using multi-node NVIDIA A100 GPU sessions. Attendees will be joined by experts from Microsoft and his NVIDIA to bring fresh insights and experiences to the table, taking the session to a whole new level of understanding. Interaction is at the core of GTC Watch Party. If you have any comments or questions, we encourage you to join the discussion.
Watch Party #2: Operationalize Large Model Training with Azure Machine Learning Using Multi-node NVIDIA A100 GPUs.
Gabrielle Davelaar, AI Technical Specialist at Microsoft. Maxim Salnikov, Senior Azure GTM Manager, Microsoft. Henk Boelman, Senior Cloud Advocate – AI and Machine Learning, Microsoft. Alexander Young, Technical Marketing Engineer, NVIDIA. Ulrich Knechtel, NVIDIA’s Microsoft Partner His Manager (EMEA) said:
Thursday, September 22, 2:00 to 3:30 pm (CEST) (5:00 AM to 6:30 AM PDT, 8:00 AM to 9:30 AM EDT)
This GTC Watch Party replays production training of large-scale models in Azure Machine Learning using multi-node NVIDIA A100 GPU sessions. Attendees will be joined by experts from Microsoft and his NVIDIA to bring fresh insights and experiences to the table, taking the session to a whole new level of understanding. Interaction is at the core of GTC Watch Party. If you have any comments or questions, we encourage you to join the discussion.
Microsoft is helping customers across industries step up and transform AI and machine learning at the edge
Nuance’s Dragon Ambient eXperience helps physicians document care faster with AI on Azure
nuance Develop AI-based clinical solutions Automatically transform doctor-patient conversations into accurate medical notes. Built with Azure and PyTorch, the solution saves doctors time in transcription, reduces administrative burden, and helps them have more focused, high-quality interactions with their patients.
Energy utility Elva builds highly secure DevOps platform with Azure infrastructure and network security services
elba saw Build a secure, cloud-first DevOps platform It provides automated services that can meet Norwegian data residency and compliance requirements and help develop network grid technologies. Using Azure DDoS Protection, Azure Web Application Firewall, and Azure Kubernetes Service, Elva achieved its goals and enhanced its in-house development and data integration capabilities.
Royal Bank of Canada creates personalized offers while protecting data privacy with Azure Confidential Computing
Royal Bank of Canada (RBC) partners with Microsoft to Create a privacy-preserving multi-party data-sharing platform Built on Azure Confidential Computing. Called VCR, the solution allows RBC to personalize services while preserving privacy and creating great digital experiences that clients can trust.
Looking back at moments in 2022 with Azure and NVIDIA technology
Azure NC A100 v4 series
At Microsoft, NC series virtual machine By giving customers access to a nearly limitless AI hardware infrastructure, they can be productive quickly. Last summer, we leveled up and announced the general availability of Azure NC A100 v4-series virtual machines. Powered by NVIDIA A100 80GB PCle Tensor Core GPUs and 3rd Gen AMD EPYC™ processors, these virtual machines help customers gain insights faster, innovate faster, and do more with less. help. NC series with the highest performance and cost competitiveness Offers a diverse set of workloads.
DeepSpeed on Azure
Azure Machine Learning tackles AI training and tuning at scale using a large fleet of the latest NVIDIA GPUs with NVIDIA Quantum InfiniBand interconnects. Last July, we announced a breakthrough in our software stack. Scale the training of 2 trillion parameter models with a streamlined user experience at 1,000+ GPU scale using DeepSpeed and 1,024 NVIDIA A100 GPUs. These software innovations are delivered through Azure Machine Learning (including a fully optimized PyTorch environment), providing great performance and an easy-to-use interface for training at scale.
NVads A10 v5 Virtual Machine
Traditionally, graphics-intensive visualization workloads running in the cloud require virtual machines with full GPUs, which are expensive and inflexible. To address this, we introduced the first GPU partitioned (GPU-P) virtual machine service in the cloud, and last July, NVads A10 v5 GPU accelerated virtual machineAzure is the first public cloud to offer GPU partitioning on NVIDIA GPUs. The new NVads A10 v5 virtual machines offer the right choice for any workload and are designed to provide optimal configurations for both single-user and multi-session environments. Dive into the latest virtual machine innovations.
Edge AI Devices Now Available Powered by NVIDIA Jetson AGX Orin
Microsoft says the NVIDIA Jetson AGX Orin SoM is currently Hardening Azure Certified Edge Devices From industry-leading device builders such as AAEON, Advantech and AVerMedia, along with NVIDIA Jetson AGX Orin developer kits.
Developers and Solution Builders Leverage Powerful NVIDIA Jetson AGX Orin Development Kits and Product Modules in Microsoft Azure to Create, Deploy, and Operate Powerful AI Solutions at the Edge to Accelerate Product Development and Deployment at Scale It is now possible. NVIDIA Orin Nano modules set a new baseline for entry-level edge AI and robotics, riding the momentum of Jetson Orin platforms around the world. Stay tuned for new Jetson Orin NX and Orin Nano partner products launching to meet customer needs in AI solution development.
NVIDIA DLI Training Powered by Azure
We are proud to once again host the NVIDIA Deep Learning Institute (DLI) training at NVIDIA GTC this year. This training offers instructor-led workshops on accelerated computing, accelerated data science, and deep learning. Hosted on Microsoft Azure, these sessions will allow him to leverage his NVIDIA GPUs on the Microsoft Azure platform to solve some of the world’s most interesting and relevant problems. Register for the DLI Workshop Now.
Join us at NVIDIA GTC
Microsoft is working with NVIDIA to deliver purpose-built AI, machine learning, and HPC solutions in the cloud to address the most demanding real-world applications at scale. Join us at NVIDIA GTC See how every business can harness the power of GPUs in edge, on-premises, cloud, and hybrid solutions from September 19-22.
