Prospects all over the world depend on Microsoft Azure to drive improvements associated to the environment, public well being, power sustainability, climate modeling, financial progress, and extra. Discovering options to those essential challenges requires large quantities of targeted computing energy. Prospects are more and more discovering the easiest way to entry such high-performance computing (HPC) by the agility, scale, safety, and modern efficiency of Azure’s purpose-built HPC and AI cloud providers.
Azure’s market-leading imaginative and prescient for HPC and AI relies on a core of real and acknowledged HPC experience, utilizing confirmed HPC expertise and design rules, enhanced with the very best options of the cloud. The result’s a functionality that delivers efficiency, scale, and worth, not like some other cloud. This implies functions are scaling 12 instances greater than different public clouds. It means greater software efficiency per node. It means powering AI workloads for one buyer with a supercomputer match to be among the many high 5 on this planet. It additionally means delivering large compute energy into the arms of medical researchers over a weekend to show out life-saving improvements within the combat in opposition to COVID-19.
This yr throughout NVIDIA GTC 21, we’re spotlighting a few of the most transformational functions powered by NVIDIA accelerated computing that highlights our dedication to edge, on-premises, and cloud computing. Registration is free, so signal as much as find out how Microsoft is powering transformation.
AI and supercomputing scale
The AI and machine studying area continues to be some of the inspiring areas of technical evolution for the reason that web. The pattern towards utilizing large AI fashions to energy a lot of duties is altering how AI is constructed. At Microsoft Construct 2020, we shared our imaginative and prescient for AI at Scale using state-of-the-art AI supercomputing in Azure and a brand new class of large-scale AI fashions enabling next-generation AI. The benefit of large-scale fashions is that they solely should be skilled as soon as with large quantities of knowledge utilizing AI supercomputing, enabling them to then be “fine-tuned” for various duties and domains with a lot smaller datasets and assets.
Coaching fashions at this scale requires massive clusters of a whole lot of machines with specialised AI accelerators interconnected by high-bandwidth networks inside and throughout the machines. We have now been constructing such clusters in Azure to allow new pure language technology and understanding capabilities throughout Microsoft merchandise.
The work that we have now completed on large-scale compute clusters, main community design, and the software program stack, together with Azure Machine Studying, ONNX Runtime, and different Azure AI providers, to handle it’s instantly aligned with our AI at Scale technique.
Machine studying on the edge
Microsoft supplies numerous options within the clever edge portfolio to empower prospects to be sure that machine studying not solely occurs within the cloud but additionally on the edge. The options embody Azure Stack Hub, Azure Stack Edge, and IoT Edge.
Whether or not you’re capturing sensor information and inferencing on the edge or performing end-to-end processing with mannequin coaching in Azure and leveraging the skilled fashions on the edge for enhanced inferencing operations—Microsoft can help your wants nevertheless and wherever it’s essential to.
Visualization and GPU workstations
Azure permits a variety of visualization workloads, that are essential for desktop virtualization in addition to skilled graphics resembling computer-aided design, content material creation, and interactive rendering. Visualization workloads on Azure are powered by NVIDIA’s world-class graphics processing items (GPUs) and RTX expertise, the world’s preeminent visible computing platform.
With entry to graphics workstations on Azure cloud, artists, designers, and technical professionals can work remotely, from anyplace, and from any related machine. See our NV-Sequence digital machines (VMs) for Home windows and Linux.
- We’re proud to announce a brand new high-memory variant that’s coming to our GPU supercomputing portfolio, that includes the most recent NVIDIA A100 80GB SXM GPUs across the identical NVIDIA InfiniBand HDR and PCIe Gen4-based building-block we have now as we speak, however after all with a number of changes to be sure that buyer workloads can take full benefit of those new chips. Just like the A100 40GB GPU occasion, these will probably be out there to prospects on-demand, at large scale, with none particular dedication. Please fill out this manner to request entry.
- NVIDIA and Microsoft Azure are elevating the bar for XR streaming. Introduced as we speak, the NVIDIA CloudXR platform will probably be out there on Azure cases NCv3 and NCasT4_v3.
Be a part of us on the NVIDIA GTC 2021 convention
Microsoft Azure is sponsoring NVIDIA GTC 2021 convention workshops and coaching. The NVIDIA Deep Studying Institute (DLI) provides hands-on coaching in AI, accelerated computing, and accelerated information science to assist builders, information scientists, and different professionals remedy their most difficult issues. These in-depth workshops are taught by consultants of their respective fields, delivering industry-leading technical information to drive breakthrough outcomes for people and organizations.
On-demand Microsoft periods with GTC
Microsoft session recordings will probably be out there on the GTC website beginning April 12, 2021. Yow will discover a listing of the Microsoft digital periods together with corresponding hyperlinks within the Microsoft Tech Group weblog right here.