- Microsoft Azure to undertake NVIDIA Grace Blackwell Superchip to speed up buyer and first-party AI choices
- NVIDIA DGX Cloud’s native Integration with Microsoft Material to streamline customized AI mannequin growth with buyer’s personal knowledge
- NVIDIA Omniverse Cloud APIs first on Azure Energy ecosystem of business design and simulation instruments
- Microsoft Copilot enhanced with NVIDIA AI and accelerated computing platforms
- New NVIDIA generative AI Microservices for enterprise, developer and healthcare purposes coming to Microsoft Azure AI
REDMOND, Wash., and SAN JOSE, Calif. — March 18, 2024 — At GTC on Monday, Microsoft Corp. and NVIDIA expanded their longstanding collaboration with highly effective new integrations that leverage the most recent NVIDIA generative AI and Omniverse
applied sciences throughout Microsoft Azure, Azure AI providers, Microsoft Material and Microsoft 365.
“Along with NVIDIA, we’re making the promise of AI actual, serving to drive new advantages and productiveness good points for folks and organizations in all places,” mentioned Satya Nadella, chairman and CEO, Microsoft. “From bringing the GB200 Grace Blackwell processor to Azure, to new integrations between DGX Cloud and Microsoft Material, the bulletins we’re making in the present day will guarantee prospects have essentially the most complete platforms and instruments throughout each layer of the Copilot stack, from silicon to software program, to construct their very own breakthrough AI functionality.”
“AI is reworking our day by day lives — opening up a world of recent alternatives,” mentioned Jensen Huang, founder and CEO of NVIDIA. “By our collaboration with Microsoft, we’re constructing a future that unlocks the promise of AI for patrons, serving to them ship progressive options to the world.”
Advancing AI infrastructure
Microsoft will probably be one of many first organizations to carry the ability of NVIDIA Grace Blackwell GB200 and superior NVIDIA Quantum-X800 InfiniBand networking to Azure, ship cutting-edge trillion-parameter basis fashions for pure language processing, laptop imaginative and prescient, speech recognition and extra.
Microsoft can be asserting the overall availability of its Azure NC H100 v5 VM digital machine (VM) primarily based on the NVIDIA H100 NVL platform. Designed for midrange coaching and inferencing, the NC collection of digital machines presents prospects two courses of VMs from one to 2 NVIDIA H100 94GB PCIe Tensor Core GPUs and helps NVIDIA Multi-Occasion GPU (MIG) expertise, which permits prospects to partition every GPU into as much as seven cases, offering flexibility and scalability for various AI workloads.
Healthcare and life sciences breakthroughs
Microsoft is increasing its collaboration with NVIDIA to remodel healthcare and life sciences via the combination of cloud, AI and supercomputing applied sciences. By harnessing the ability of Microsoft Azure alongside NVIDIA DGX Cloud and the NVIDIA Clara suite of microservices, healthcare suppliers, pharmaceutical and biotechnology corporations, and medical machine builders will quickly be capable of innovate quickly throughout scientific analysis and care supply with improved effectivity.
Business leaders akin to Sanofi and the Broad Institute of MIT and Harvard, trade ISVs akin to Flywheel and SOPHiA GENETICS, educational medical facilities just like the College of Wisconsin Faculty of Medication and Public Well being, and well being methods like Mass Basic Brigham are already leveraging cloud computing and AI to drive transformative adjustments in healthcare and to reinforce affected person care.
Industrial digitalization
NVIDIA Omniverse Cloud APIs will probably be accessible first on Microsoft Azure later this 12 months, enabling builders to carry elevated knowledge interoperability collaboration, and physics-based visualization to present software program purposes. At NVIDIA GTC, Microsoft is demonstrating a preview of what’s potential utilizing Omniverse Cloud APIs on Microsoft Azure. Utilizing an interactive 3D viewer in Microsoft Energy BI, manufacturing unit operators can see real-time manufacturing unit knowledge overlaid on a 3D digital twin of their facility to achieve new insights that may pace up manufacturing.
NVIDIA Triton Inference Server and Microsoft Copilot
NVIDIA GPUs and NVIDIA Triton Inference Server assist serve AI inference predictions in Microsoft Copilot for Microsoft 365. Copilot for Microsoft 365, quickly accessible as a devoted bodily keyboard key on Home windows 11 PCs, combines the ability of huge language fashions with proprietary enterprise knowledge to ship real-time contextualized intelligence, enabling customers to reinforce their creativity, productiveness and expertise.
From AI coaching to AI deployment
NVIDIA NIM inference microservices are coming to Azure AI to turbocharge AI deployments. A part of the NVIDIA AI Enterprise software program platform, additionally accessible on the Azure Market, NIM offers cloud-native microservices for optimized inference on greater than two dozen widespread basis fashions, together with NVIDIA-built fashions that customers can expertise at ai.nvidia.com. For deployment, the microservices ship prebuilt, run-anywhere containers powered by NVIDIA AI Enterprise inference software program — together with Triton Inference Server, TensorRT and TensorRT-LLM — to assist builders pace time to market of performance-optimized manufacturing AI purposes.
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The corporate’s invention of the GPU in 1999 sparked the expansion of the PC gaming market, redefined laptop graphics, ignited the period of recent AI and is fueling industrial digitalization throughout markets. NVIDIA is now a full-stack computing infrastructure firm with data-center-scale choices which might be reshaping trade. Extra info at https://nvidianews.nvidia.com/.
About Microsoft
Microsoft (Nasdaq “MSFT” @microsoft) permits digital transformation for the period of an clever cloud and an clever edge. Its mission is to empower each individual and each group on the planet to attain extra.
For extra info, press solely:
Microsoft Media Relations, WE Communications for Microsoft, (425) 638-7777, rapidresponse@we-worldwide.com
Natalie Hereth, NVIDIA Company, nhereth@nvidia.com
Observe to editors: For extra info, information and views from Microsoft, please go to Microsoft Supply at http://information.microsoft.com/supply. Internet hyperlinks, phone numbers and titles have been appropriate at time of publication however could have modified. For extra help, journalists and analysts could contact Microsoft’s Speedy Response Staff or different acceptable contacts listed at https://information.microsoft.com/microsoft-public-relations-contacts.
NVIDIA ahead‑wanting statements
Sure statements on this press launch together with, however not restricted to, statements as to: the advantages, affect, efficiency, options, and availability of NVIDIA’s merchandise and applied sciences, together with NVIDIA Grace Blackwell Superchip, NVIDIA DGX Cloud, NVIDIA Omniverse Cloud APIs, NVIDIA AI and Accelerated Computing Platforms, and NVIDIA Generative AI Microservices; the advantages and affect of NVIDIA’s collaboration with Microsoft, and the options and availability of its providers and choices; AI reworking our day by day lives, the way in which we work and opening up a world of recent alternatives; and constructing a future that unlocks the promise of AI for patrons and brings transformative options to the world via NVIDIA’s continued collaboration with Microsoft are forward-looking statements which might be topic to dangers and uncertainties that might trigger outcomes to be materially completely different than expectations. Vital components that might trigger precise outcomes to vary materially embody: international financial circumstances; NVIDIA’s reliance on third events to fabricate, assemble, bundle and check NVIDIA’s merchandise; the affect of technological growth and competitors; growth of recent merchandise and applied sciences or enhancements to NVIDIA’s present product and applied sciences; market acceptance of NVIDIA’s merchandise or NVIDIA companions’ merchandise; design, manufacturing or software program defects; adjustments in shopper preferences or calls for; adjustments in trade requirements and interfaces; surprising lack of efficiency of NVIDIA’s merchandise or applied sciences when built-in into methods; in addition to different components detailed sometimes in the newest studies NVIDIA information with the Securities and Trade Fee, or SEC, together with, however not restricted to, its annual report on Kind 10-Ok and quarterly studies on Kind 10-Q. Copies of studies filed with the SEC are posted on the corporate’s web site and can be found from NVIDIA with out cost. These forward-looking statements aren’t ensures of future efficiency and communicate solely as of the date hereof, and, besides as required by legislation, NVIDIA disclaims any obligation to replace these forward-looking statements to replicate future occasions or circumstances.
Most of the merchandise and options described herein stay in numerous levels and will probably be supplied on a when-and-if-available foundation. The statements above aren’t meant to be, and shouldn’t be interpreted as a dedication, promise, or authorized obligation, and the event, launch, and timing of any options or functionalities described for our merchandise is topic to alter and stays on the sole discretion of NVIDIA. NVIDIA could have no legal responsibility for failure to ship or delay within the supply of any of the merchandise, options or capabilities set forth herein.
© 2024 NVIDIA Company. All rights reserved. NVIDIA, the NVIDIA emblem, DGX, NVIDIA Clara, NVIDIA NIM, NVIDIA Omniverse, NVIDIA Triton Inference Server, and TensorRT are emblems and/or registered emblems of NVIDIA Company within the U.S. and/or different nations. Different firm and product names could also be emblems of the respective corporations with which they’re related. Options, pricing, availability, and specs are topic to alter with out discover.
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