Workload orchestration is the process of deciding where, when, and how a compute job runs across available infrastructure, based on priority, resource needs, and constraints.
For GPU infrastructure specifically, workload orchestration has to account for GPU-specific constraints like memory footprint and interconnect topology, not just CPU and RAM like traditional schedulers.
We use cookies for analytics and advertising. Privacy policy