High-performance computing, artificial intelligence, and visualization GPUs have a wide variety of uses. That’s why Microsoft has partnered with NVIDIA to bring a wide variety of NVIDIA GPUs to Azure. Join us in San Jose next week at NVIDIA’s GPU Technology Conference to learn how Azure customers combine the flexibility and elasticity of the cloud with the capability of NVIDIA’s GPUs.
At Booth 603, Microsoft and partners will have demos of customer use cases and experts on hand to talk about how Azure is the cloud for any GPU workload. We will have demos from our partners at Altair, PipelineFX, and Workspot. In addition, you can learn about work we’ve done in oil & gas, automotive, and artificial intelligence.
Partner and customer sessions in the conference program include:
- Transforming the AEC business with cloud workstations in Azure – Jimmy Chang (Workspot)
- Deploying machine learning on the oilfield: from the labs to the edge – Matthieu Boujonnier (Schneider Electric), Bartosz Boguslawski (Schneider Electric), Loryne Bissuel-Beauvais (Schneider Electric)
- Autodesk BIM Cloud Workspace on Azure (panel) – Frank Wolbertus (TBI), Adam Jull (IMSCAD Global), Marc Sleegers (Autodesk), Allen Furmanski (Citrix Systems)
- Identifying new therapeutics for Parkinson’s Disease using virtual neurons on an Azure-hosted GPU cluster – Andy Lee (Neuroinitiative)
We also have Microsoft technical sessions as part of the conference program:
- Achieving human parity in conversational speech recognition using CNTK and a GPU farm – Frank Seide and Andreas Stolcke
- Microsoft AI and Research-Infrastructure overview for deep learning and other research – Jim Jernigan
- GPUs for every workload in Microsoft Azure – Tariq Sharif
- Building seeing AI: the talking camera app for the blind – Anirudh Koul
- DirectX: Evolving Microsoft’s Graphics Platform – Matt Sandy, Ignacio Lllamas (NVIDIA)
- Monitoring honey bee health using TensorRT and Microsoft Cognitive Toolkit – Anusua Trivedi, Jacci Cenci (NVIDIA)
- Scalable, responsive, and cost-effective object detection service for web-scale images – Yan Wang
- Attention GAN for fine-grained language-to-image generation – Pengchuan Zhan
- Accelerating machine reading comprehension models using GPUs – Adi Oltean
As you can see, NVIDIA GPUs are a critical part of the infrastructure that Azure customers rely on to drive innovation. We recently announced the general availability of our NVIDIA Tesla V100-powered virtual machines and an expansion of our other offerings to more global regions. We’re looking forward to talking to you next week. If you’re interested in Azure credits to get your GPU-powered workload started, email Shakil Ahmed.