With Multi-Instance GPU (MIG), a GPU can be partitioned into several smaller, fully isolated instances with their own memory, cache, and compute cores. The Hopper architecture further enhances MIG by supporting multi-tenant, multi-user configurations in virtualized environments across up to seven GPU instances, securely isolating each instance with confidential computing at the hardware and hypervisor level. Dedicated video decoders for each MIG instance deliver secure, high-throughput intelligent video analytics (IVA) on shared infrastructure. And with Hopper’s concurrent MIG profiling, administrators can monitor right-sized GPU acceleration and optimize resource allocation for users.
For researchers with smaller workloads, rather than renting a full CSP instance, they can elect to use MIG to securely isolate a portion of a GPU while being assured that their data is secure at rest, in transit, and at compute.