Solutions · AI agents
Run more agents on the same hardware
Agent traffic has long shared prompts, bursts of parallel sub-agents and gaps while tools run. Servers built for chat discard the KV cache between calls. We schedule around how agents actually behave.
12×more agents per GPU
64%of prompt tokens from shared prefixes
8 → 96agents with one command
Common problems
What usually goes wrong
01
The same prompt, processed again
System prompts and tool definitions are processed again on every step of every agent.
02
Sub-agent bursts
When a planner starts sixteen workers at once, everyone else's requests queue up.
03
Unknown capacity
It's unclear how many agents the cluster can run before latency suffers.
Live demo
Batching simulator
A simulated model server under static, continuous and chunked-prefill scheduling.
Get started
Tell us what you need the model to do
Send us the model, the hardware and your target, whether that's tokens per second, latency, memory or cost. In a 30-minute call we'll tell you whether we think it's doable and roughly what it would take.
- ReviewA free 30-minute call. We look at your model, hardware and target and give you an honest estimate.
- SprintTwo weeks at a fixed fee, on your hardware. If we can't beat your current setup, you don't pay.
- RunWe run Serve and monitoring for you and keep re-tuning as traffic changes, under an agreed SLO.