SwarmOne

We make self-hosted inference fast on real agent traffic.

SwarmOne tunes serving stacks for teams that run their own models. Same GPUs. More tokens per second per user.

Talk to Us

Default stacks are built for everyone.

Agent sessions grow to 500k tokens, pause for tool calls, then come back. Cache placement, eviction, and routing decide how fast they run. Generic endpoints and 1k/1k benchmarks miss that. SwarmOne tunes the stack to your traffic: model, workload, and serving config together.

What we build

  • SwarmOptimizer

    Searches serving configs, KV cache policy, routing, and kernels against simulator traffic, then ships the measured winner.

  • SwarmSim

    Turns a few real agent sessions into thousands of fresh test runs with the same shape.

Why teams work with SwarmOne

  • High-fidelity simulation of real agentic traffic, used as ground truth for continuous optimization
  • Production-grade inference across heterogeneous GPU fleets
  • Deployed by enterprises, neo-clouds, and chip manufacturers