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.
See how hosted·ai schedules multi-tenant GPUaaS workloads for hosted·ai's approach to workload orchestration.
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