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WorkloadsJuly 14, 20267 min read

Agentic workloads break classic serving assumptions

Long chains of dependent short calls behave nothing like the single-turn traffic serving stacks were designed around.

We tune inference engines and kernels to the workload you actually run.

Run a free pilot

Dependency chains amplify tail latency

A twenty-step agent inherits the tail of every step. A p99 that looks acceptable per call becomes a routine multi-second stall at the task level.

Context reuse is the dominant lever

Agents re-send overlapping context constantly. Prefix caching and reuse-aware scheduling matter more here than raw decode speed.

Optimize the task, not the call

Define the objective as time to task completion. Configurations that win on per-call throughput sometimes lose badly at that level.