Up to 2× more users per GPU. Measured.
BTB Micro is an inference-efficiency layer for organisations that serve AI on GPUs. Under full production load, the same GPU serves up to twice as many concurrent users at the same response speed — which means the same traffic on up to 50% fewer servers.
The measured result
more concurrent users per GPU — median 1.9–2.0× at the same latency target
best case measured
same answer quality, confirmed by blind judging
servers for the same traffic at full production load
Measured on NVIDIA B200 against a well-tuned vLLM baseline, across five open models, on production-style workloads. These are measurements, not projections.
How it deploys
- Runs on your infrastructure — nothing leaves your environment.
- Works with the models and serving stack you already run. No retraining.
- Strongest on conversational and agentic workloads — exactly where inference bills grow fastest.
How verification works
It starts with a one-page benchmark protocol your engineers can review, followed by a two-week evaluation on your terms — your telemetry and your dashboards act as the referee. If the numbers do not hold on your traffic, we will say so ourselves.
Contact
Enterprise evaluation is open. Write to [email protected].
Request an evaluation