Drive Utilization of Compute by Role
Domino administrators can easily divide a single DGX system into several different hardware tiers to support a variety of different users and their use cases. For example, 1 and 2-GPU partitions can be allocated for basic research, while 4 and 8-GPU partitions are set aside for training workloads. By providing different compute options, more data scientists can use the system at the same time, and companies get the maximum benefit from their GPU investment.
With NVIDIA Multi-Instance GPU (MIG) technology on the NVIDIA A100 Tensor Core GPU, admins can take this even further, allowing up to 56 concurrent notebooks or hosted models, each with an independent GPU instance.