Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC | Azure Blog and Updates

Be a part of Microsoft at NVIDIA GTC, a free on-line international know-how convention (GTC), March 20 to 23 to find out how organizations of any measurement can energy AI innovation with purpose-built cloud infrastructure from Microsoft.

Microsoft’s Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps construct and practice among the trade’s most superior AI options. From information preparation to mannequin and infrastructure efficiency administration, Azure’s complete portfolio of highly effective and massively scalable GPU-accelerated digital machines (VMs) and seamless integration with companies like Azure Batch and open-source options helps streamline administration and automation of huge AI fashions and infrastructure.

Attend NVIDIA GTC to find how Azure AI infrastructure optimized for AI efficiency can ship pace and scale within the cloud and provide help to scale back the complexity of constructing, coaching, and bringing AI fashions into manufacturing.

Don’t miss session S52469 that includes Nidhi Chappell, a recipient of the 2023 Individuals to Watch, acknowledged as a high-performance computing (HPC) luminary by HPCwire. Nidhi performs a number one function in driving HPC and AI innovation, accelerating the event of science and adoption of AI by enabling entry to the perfect infrastructure and companies for Microsoft prospects.

Register for NVIDIA GTC right now.

Microsoft classes at NVIDIA GTC

Add the beneath Microsoft classes at GTC to your convention schedule to study concerning the newest Azure AI infrastructure and dive deep into quite a lot of use instances and applied sciences.

Featured classes

Speed up AI Innovation with Unmatched Cloud Scale and Efficiency

Thursday, March 23, 2023 | 7:00 to 7:50 AM PT

Nidhi Chappell, Normal Supervisor, Azure HPC, AI, SAP and Confidential Computing, Microsoft

Kathleen Mitford, Company Vice President, Azure Advertising, Microsoft

Manuvir Das, Vice President of Enterprise Computing, NVIDIA

Alex Kendall, CEO and Co-Founder, Wayve

Azure’s purpose-built AI infrastructure is enabling main organizations in AI to construct a brand new period of revolutionary purposes and companies. The convergence of cloud flexibility and economics, with advances in cloud efficiency, is paving the way in which to speed up AI initiatives throughout simulations, science, and trade. Whether or not it’s worthwhile to scale to 80,000 cores for MPI workloads, otherwise you’re in search of AI supercomputing capabilities, Azure can assist your wants. Be taught extra about Azures AI platform, our newest updates, and listen to about buyer experiences.

Azure’s Function-Constructed AI Infrastructure Utilizing the Newest NVIDIA GPU Accelerators

On-demand

Matt Vegas, Principal Product Supervisor, Microsoft

Microsoft presents among the strongest and massively scalable Digital Machines, optimized for AI workloads. Be a part of us for an in-depth have a look at the most recent updates for Azure’s ND-series primarily based on NVIDIA GPUs, engineered to ship a mix of high-performance, interconnected GPUs, working in parallel that may provide help to scale back complexity, reduce operational bottlenecks operations, and might ship reliability at scale.

Talks and panel classes

Deep Studying Institute workshops and labs

We’re proud to host NVIDIA’s Deep Studying Institute (DLI) coaching at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free coaching labs to stand up to hurry on the most recent know-how and breakthroughs. Hosted on Microsoft Azure, these classes allow and empower you to leverage NVIDIA GPUs on the Azure platform to unravel the world’s most attention-grabbing and related issues.

Register for a Deep Studying Institute workshop or lab right now.

Be taught extra about Azure AI infrastructure

Whether or not your undertaking is massive or small, native or international, Microsoft Azure is empowering corporations worldwide to push the boundaries of AI innovation. Be taught how one can make AI your actuality by exploring the next assets.