Nvidia today announced that they have been working with VMware to bring their virtual GPU (vGPU) technology to VMware's vSphere and VMware Cloud on AWS. The company's core GPU technology is not new, but it now supports server virtualization to enable businesses to run hardware-accelerated AI and computer science workloads in environments such as VMware's vSphere, using its new vComputeServer technology.
Traditionally (as far as There is one thing in AI training), GPU-accelerated workloads tend to run on only metal servers, which were usually managed separately from the rest of the company's servers.
"With vComputeServer, IT administrators can streamline the management of GPU-accelerated
virtualized servers while retaining existing workflows and lowering overall operating costs," Nvidia explains in today's announcement. This also means that businesses will reap the cost benefits of GPU sharing and aggregation, thanks to the enhanced use promised by this technology.
vComputeServer works with VMware Sphere, vCenter and vMotion, as well as VMware Cloud. The two companies actually use the same vComputeServer technology to also bring accelerated GPU services to VMware Cloud on AWS. This allows companies to take their contained applications and from their own data center to the cloud as needed ̵
"From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to provide fast, accurate predictions that directly affect their bottom line," Nvidia founder and CEO Jensen Huang . "Together with VMware, we design the most advanced and highest-performing GPU-accelerated hybrid cloud infrastructure to drive innovation across the enterprise."