Technology that enables a single physical GPU to be partitioned and shared across multiple virtual machines or containerized workloads simultaneously.
GPU Virtualization raises the share of an expensive GPU's capacity that is in use, which improves the return on the hardware. Instead of one AI model holding an entire GPU while idle, virtualization divides the VRAM and compute cores among workloads, so multiple isolated Agentic Workflows and inference services can run concurrently on the same physical chip.
See also Agentic Workflows, Data Mobilization, Data Lakehouse and Vector Database.