At NVIDIA GTC, Microsoft and NVIDIA are asserting new choices throughout a breadth of answer areas from main AI infrastructure to new platform integrations, and trade breakthroughs. Right this moment’s information expands our long-standing collaboration, which has paved the best way for revolutionary AI improvements that clients are actually bringing to fruition.
Microsoft and NVIDIA collaborate on Grace Blackwell 200 Superchip for next-generation AI fashions
Microsoft and NVIDIA are bringing the ability of the NVIDIA Grace Blackwell 200 (GB200) Superchip to Microsoft Azure. The GB200 is a brand new processor designed particularly for large-scale generative AI workloads, information processing, and excessive efficiency workloads, that includes up to an enormous 16 TB/s of reminiscence bandwidth and as much as an estimated 45 instances the inference on trillion parameter fashions relative to the earlier Hopper technology of servers.
Microsoft has labored carefully with NVIDIA to make sure their GPUs, together with the GB200, can deal with the newest massive language fashions (LLMs) educated on Azure AI infrastructure. These fashions require huge quantities of knowledge and compute to coach and run, and the GB200 will allow Microsoft to assist clients scale these assets to new ranges of efficiency and accuracy.
Microsoft can even deploy an end-to-end AI compute material with the not too long ago introduced NVIDIA Quantum-X800 InfiniBand networking platform. By making the most of its in-network computing capabilities with SHARPv4, and its added assist for FP8 for modern AI strategies, NVIDIA Quantum-X800 extends the GB200’s parallel computing duties into huge GPU scale.
Azure shall be one of many first cloud platforms to ship on GB200-based cases
Microsoft has dedicated to bringing GB200-based cases to Azure to assist clients and Microsoft’s AI companies. The brand new Azure instances-based on the newest GB200 and NVIDIA Quantum-X800 InfiniBand networking will assist speed up the technology of frontier and foundational fashions for pure language processing, pc imaginative and prescient, speech recognition, and extra. Azure clients will have the ability to use GB200 Superchip to create and deploy state-of-the-art AI options that may deal with huge quantities of knowledge and complexity, whereas accelerating time to market.
Azure additionally gives a spread of companies to assist clients optimize their AI workloads, corresponding to Microsoft Azure CycleCloud, Azure Machine Studying, Microsoft Azure AI Studio, Microsoft Azure Synapse Analytics, and Microsoft Azure Arc. These companies present clients with an end-to-end AI platform that may deal with information ingestion, processing, coaching, inference, and deployment throughout hybrid and multi-cloud environments.
Delivering on the promise of AI to clients worldwide
With a robust basis of Azure AI infrastructure that makes use of the newest NVIDIA GPUs, Microsoft is infusing AI throughout each layer of the expertise stack, serving to clients drive new advantages and productiveness positive aspects. Now, with greater than 53,000 Azure AI clients, Microsoft offers entry to the most effective choice of basis and open-source fashions, together with each LLMs and small language fashions (SLMs), all built-in deeply with infrastructure information and instruments on Azure.
The not too long ago introduced partnership with Mistral AI can also be a fantastic instance of how Microsoft is enabling main AI innovators with entry to Azure’s cutting-edge AI infrastructure, to speed up the event and deployment of next-generation LLMs. Azure’s rising AI mannequin catalogue gives, greater than 1,600 fashions, letting clients select from the newest LLMs and SLMs, together with OpenAI, Mistral AI, Meta, Hugging Face, Deci AI, NVIDIA, and Microsoft Analysis. Azure clients can select the most effective mannequin for his or her use case.
“We’re thrilled to embark on this partnership with Microsoft. With Azure’s cutting-edge AI infrastructure, we’re reaching a brand new milestone in our enlargement propelling our revolutionary analysis and sensible purposes to new clients in every single place. Collectively, we’re dedicated to driving impactful progress within the AI trade and delivering unparalleled worth to our clients and companions globally.”
Arthur Mensch, Chief Govt Officer, Mistral AI
Basic availability of Azure NC H100 v5 VM sequence, optimized for generative inferencing and high-performance computing
Microsoft additionally introduced the overall availability of Azure NC H100 v5 VM sequence, designed for mid-range coaching, inferencing, and excessive efficiency compute (HPC) simulations; it gives excessive efficiency and effectivity.
As generative AI purposes develop at unbelievable pace, the elemental language fashions that empower them will develop additionally to incorporate each SLMs and LLMs. As well as, synthetic slender intelligence (ANI) fashions will proceed to evolve, targeted on extra exact predictions slightly than creation of novel information to proceed to boost its use instances. Their purposes embody duties corresponding to picture classification, object detection, and broader pure language processing.
Utilizing the strong capabilities and scalability of Azure, we provide computational instruments that empower organizations of all sizes, no matter their assets. Azure NC H100 v5 VMs is one more computational software made typically obtainable at this time that can do exactly that.
The Azure NC H100 v5 VM sequence relies on the NVIDIA H100 NVL platform, which gives two courses of VMs, starting from one to 2 NVIDIA H100 94GB PCIe Tensor Core GPUs related by NVLink with 600 GB/s of bandwidth. This VM sequence helps PCIe Gen5, which offers the very best communication speeds (128GB/s bi-directional) between the host processor and the GPU. This reduces the latency and overhead of knowledge switch and permits quicker and extra scalable AI and HPC purposes.
The VM sequence additionally helps NVIDIA multi-instance GPU (MIG) expertise, enabling clients to partition every GPU into as much as seven cases, offering flexibility and scalability for numerous AI workloads. This VM sequence gives as much as 80 Gbps community bandwidth and as much as 8 TB of native NVMe storage on full node VM sizes.
These VMs are perfect for coaching fashions, working inferencing duties, and growing cutting-edge purposes. Be taught extra concerning the Azure NC H100 v5-series.
“Snorkel AI is proud to associate with Microsoft to assist organizations quickly and cost-effectively harness the ability of knowledge and AI. Azure AI infrastructure delivers the efficiency our most demanding ML workloads require plus simplified deployment and streamlined administration options our researchers love. With the brand new Azure NC H100 v5 VM sequence powered by NVIDIA H100 NVL GPUs, we’re excited to proceed to can speed up iterative information growth for enterprises and OSS customers alike.”
Paroma Varma, Co-Founder and Head of Analysis, Snorkel AI
Microsoft and NVIDIA ship breakthroughs for healthcare and life sciences
Microsoft is increasing its collaboration with NVIDIA to assist rework the healthcare and life sciences trade via the mixing of cloud, AI, and supercomputing.
By utilizing the worldwide scale, safety, and superior computing capabilities of Azure and Azure AI, together with NVIDIA’S DGX Cloud and NVIDIA Clara suite, healthcare suppliers, pharmaceutical and biotechnology corporations, and medical gadget builders can now quickly speed up innovation throughout your complete scientific analysis to care supply worth chain for the advantage of sufferers worldwide. Be taught extra.
New Omniverse APIs allow clients throughout industries to embed huge graphics and visualization capabilities
Right this moment, NVIDIA’s Omniverse platform for growing 3D purposes will now be obtainable as a set of APIs working on Microsoft Azure, enabling clients to embed superior graphics and visualization capabilities into present software program purposes from Microsoft and associate ISVs.
Constructed on OpenUSD, a common information interchange, NVIDIA Omniverse Cloud APIs on Azure do the mixing work for patrons, giving them seamless bodily primarily based rendering capabilities on the entrance finish. Demonstrating the worth of those APIs, Microsoft and NVIDIA have been working with Rockwell Automation and Hexagon to indicate how the bodily and digital worlds could be mixed for elevated productiveness and effectivity. Be taught extra.
Microsoft and NVIDIA envision deeper integration of NVIDIA DGX Cloud with Microsoft Cloth
The 2 corporations are additionally collaborating to deliver NVIDIA DGX Cloud compute and Microsoft Cloth collectively to energy clients’ most demanding information workloads. Because of this NVIDIA’s workload-specific optimized runtimes, LLMs, and machine studying will work seamlessly with Cloth.
NVIDIA DGX Cloud and Cloth integration embody extending the capabilities of Cloth by bringing in NVIDIA DGX Cloud’s massive language mannequin customization to deal with data-intensive use instances like digital twins and climate forecasting with Cloth OneLake because the underlying information storage. The mixing can even present DGX Cloud as an choice for patrons to speed up their Cloth information science and information engineering workloads.
Accelerating innovation within the period of AI
For years, Microsoft and NVIDIA have collaborated from {hardware} to techniques to VMs, to construct new and revolutionary AI-enabled options to deal with advanced challenges within the cloud. Microsoft will proceed to develop and improve its international infrastructure with probably the most cutting-edge expertise in each layer of the stack, delivering improved efficiency and scalability for cloud and AI workloads and empowering clients to realize extra throughout industries and domains.
Be a part of Microsoft at NVIDIA CTA AI Convention, March 18 via 21, at sales space #1108 and attend a session to study extra about options on Azure and NVIDIA.
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