Virtualized AI Infrastructure uses software-defined layers to partition physical GPU resources into multiple isolated virtual instances. This allows a single high-end GPU, such as an H100, to be split into several smaller "slices" through Multi-Instance GPU (MIG) technology for diverse development teams. It optimizes resource utilization and simplifies the management of complex AI environments by allowing for rapid deployment and scaling of virtual AI workstations.
