Today, Nvidia and VMware declared a hybrid cloud on AWS that is optimized for machine learning, AI, and data science platforms. The VMware Cloud on AWS with Nvidia is capable of functioning from cloud and on-premise servers and will make it easier to switch VMware vSphere-based applications to the cloud for accelerating high-performance computing or machine learning for research, experimentation, and deployment in work production.
The VMware Cloud on AWS will offer EC2 instances with GPU acceleration from Nvidia’s T4 100. AWS also shared plans to provide examples powered by Nvidia’s T4 100 GPU in March. Today’s announcement comes at the start of the VMworld conference in San Francisco and just days after VMware gained cloud security and app development start-ups Pivotal and Carbon Black for $5 billion.
Today, Nvidia also presented vCompute Server for the GPU-accelerated deployment of workloads in virtual environments, including VMware’s vSphere, vCenter, and VMware Cloud. The latest virtual GPU offering from Nvidia can make the completion of deep learning training up to 50 times quicker than with a CPU alone. And vCompute Server can control and manage GPU-sharing for the distribution of computing power from a single GPU to multiple apps or virtual machines.
Users will be able to switch vCompute Server workflows from on-premise data centers to the cloud with just a click. Once in the cloud, data requires modulation using AWS elastic infrastructure, growing or shrinking compute based on project needs.
“Together with VMware, we’re designing the most advanced and highest-performing GPU-accelerated hybrid cloud infrastructure to foster innovation across the enterprise,” said Nvidia CEO Jensen Huang in a statement shared with VentureBeat.
Following Nvidia’s Q2 earnings declaration earlier this month, Huang told reporters AI is the “single most powerful force of our time.”