Temporal's validated pattern for routing specialized workloads uses separate Task Queues to direct Activities to dedicated Worker pools based on resource requirements. This approach allows GPU-intensive ML workloads, CPU-bound tasks, and high-memory analytics to run on appropriately provisioned Workers, reducing GPU costs by 60-80% and enabling independent scaling of each Worker pool.
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