In this video, Corey Sanders from the Azure compute engineering team explores what is now possible with HPC and Microsoft Azure. He describes how you can use it for enabling powerful visual simulations and engineering scenarios including dynamic rendering for GPU intensive work and compute scenarios for deep learning.
“The performance and scalability of a world-class supercomputing center is now available to everyone, on demand in the cloud. Run your Windows and Linux HPC applications using high performance A8 and A9 compute instances on Azure, and take advantage of a backend network with MPI latency under 3 microseconds and non-blocking 32 Gbps throughput. This backend network includes remote direct memory access (RDMA) technology on Windows and Linux that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based upon what you need and pay only for what you use to reduce costs.”
