The world of computing goes deep and wide on working on issues related to our environment, economy, energy, and public health systems. These needs require modern, advanced solutions that were traditionally limited to a few organizations, are hard to scale, and take a long time to deliver. Microsoft Azure delivers High Performance Computing (HPC) capability and tools to power solutions that address these challenges integrated into a global-scale cloud platform.
Whether it’s a manufacturer running advanced simulations, an energy company optimizing drilling through real-time well monitoring, or a financial services company using AI to navigate market risk Microsoft’s partnership with NVIDIA makes access to NVIDIA GPUs easier than ever.
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 GPUs. We will share examples of work we’ve done in oil & gas, automotive, artificial intelligence, and much more. Also, be on the lookout for new and exciting integrations between Azure AI and NVIDIA that bring GPU acceleration to more developers.
Microsoft sessions at the conference include:
Using ONNX for Accelerated Inferencing on Cloud and Edge – Prasanth Pulavarthi (Microsoft)
Accelerated Data Science Pipeline with RAPIDS on Azure – Kaarthik Sivashanmugam (Microsoft) & Manuel Reyes-Gomez(NVIDIA)
Distributed Deep Learning – Llia Karmanov & Mathew Salvaris (Microsoft)
Real-Time Streaming of 3D Enterprise Applications To Low-Powered Devices – Andrei Ermilov
Minimizing Risk While Maximizing Gain: Full Feature Space Representation While Upgrading Minimal Subset of PCs – Tom Drabas
Using Deep Learning to Transform Internet Scale Web Searches – Adi Oltean & Guhan Suriyanarayanan
Dask and V100s for Fast, Distributed Batch Scoring of Computer Vision Workloads – Danielle Dean, Fidan Boylu Uz & Mathew Salvaris (Microsoft)
Microsoft Azure: GPUs for Visualization, AI and HPC – Ian Finder (Microsoft)
If you are participating in any of the many NVIDIA DLI training classes, you will get a chance to experience firsthand the breadth of Azure GPU compute options through the interactive classes which are now Azure GPU powered.
Please come by and say “hello” at our Microsoft Booth – 1122 – where Microsoft and partners (including Teradici and Workspot) will have demos of customer use cases and we will have experts on hand to talk about how Azure is the cloud for any GPU workload. Additionally, we will be demoing Microsoft Bing – which uses the power of NVIDIA GPUs on Azure to execute a variety of tasks such as generating instant answers to complex questions and analyzing images to help you find similar looking items or products.
As you can see, NVIDIA GPUs are a key part of the Microsoft High Performance Computing strategy that Azure customers rely on to drive innovation.
We’re looking forward to talking to you next week.
Quelle: Azure
Published by