MODEL SERVINGADVANCED LLMOPS

Serving Capacity Model

Serving capacity combines model footprint, token rate, context distribution, batching and concurrency limits.

WHY IT MATTERS

Capacity cannot be summarized by GPU count alone.

ENTERPRISE EXAMPLE

The platform models peak input tokens/sec and output tokens/sec for each route and pool.

OPERATING DECISION

Can expected demand be translated into serving resources and headroom?

REMEMBERSize inference using workload shape.
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