Serve more users on the GPUs you have
For chat assistants, copilots and model APIs, latency and cost per token decide your margins. We take the model you've already validated and make it faster and cheaper to run.
What usually goes wrong
Latency spikes at peak
Long prompts hold up short ones, and time to first token goes over the target when traffic is highest.
Costs grow with usage
Each new customer means another GPU, because the serving setup still uses its default settings.
Nobody wants to touch the model
Teams avoid quantising a model that has passed evaluation, so it stays in bf16.
Products involved
Each candidate is benchmarked and evaluated
Batching simulator
A simulated model server under static, continuous and chunked-prefill scheduling.
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.