NVIDIA GRID VCompute Server - Subscription License (1 Year) - 1 GPU - For P/N: UCSC-GPU-A30 - NV-GRID-VCS-1-1YR

• GPU sharing
  GPU sharing (fractional) is only possible with NVIDIA vGPU technology. It enables multiple VMs to share a GPU, maximizing utilization for lighter workloads that require GPU acceleration.
• GPU aggregation
  With GPU aggregation, a VM can access more than one GPU, which is often required for compute-intensive workloads. vComputeServer supports both multi-vGPU and peer-to-peer computing. With multi-vGPU, the GPUs aren't directly connected; with peer-to-peer, they are through NVLink for higher bandwidth.
• Management and monitoring
  vComputeServer provides support for app-, guest-, and host-level monitoring. In addition, proactive management features provide the ability to do live migration, suspend and resume, and create thresholds that expose consumption trends impacting user experiences, all through the vGPU management SDK.
• NGC
  NVIDIA GPU Cloud (NGC) is a hub for GPU-optimized software that simplifies workflows for deep learning, machine learning, and HPC, and now supports virtualized environments with NVIDIA vComputeServer.
• Peer-to-peer computing
  NVIDIA NVLink is a high-speed, direct GPU-to-GPU interconnect that provides higher bandwidth, more links, and improved scalability for multi-GPU system configurations - now supported virtually with NVIDIA virtual GPU (vGPU) technology.
• ECC and page retirement
  Error correction code (ECC) and page retirement provide higher reliability for compute applications that are sensitive to data corruption. They're especially important in large-scale cluster-computing environments where GPUs process very large datasets and/or run applications for extended periods.

NVIDIA Virtual Compute Server (vComputeServer) enables data centers to accelerate server virtualization with GPUs so that the most compute-intensive workloads, such as artificial intelligence, deep learning, and data science, can be run in a virtual machine (VM).