We make models fast, cheap, and reliable to run.
ATBF Labs is an inference-engine company. We build the runtime, kernels, and serving layer that turn model weights into a production endpoint, then hold its latency and cost down under real load.
An inference stack, built from first principles.
Inference decides whether a model is usable in production. We own the whole path, from the kernel to the cluster, so nothing in the middle is someone else's problem.
One engine, every model.
A purpose-built runtime: continuous batching, paged KV-cache, and a scheduler that keeps GPUs full. Bring weights, get a production endpoint.
Win at the metal.
Custom GPU kernels, low-precision numerics, and speculative decoding. We chase latency and throughput down to the last microsecond.
Holds under real load.
Multi-GPU, multi-node serving that degrades gracefully and recovers on its own. Tail latency stays flat when traffic does not.
The fine print, large.
Every number here is a design target we hold ourselves to, and measure on every release. No vibes, just the survey point.
Tail latency held flat across bursty production traffic, not just the happy path.
Continuous batching and fused kernels keep every GPU saturated.
Quantization and scheduling that turn the same hardware into more serving.
Rolling capacity across nodes with no cold starts and no dropped requests.
We're hiring the first ten.
Small team, high bar, real ownership. If you want to build inference from the metal up, these are the seats. Don't see yours? Write to us anyway.