Radically Accelerate Frontier Model Inference

The number of tokens we are processing with frontier AI models is growing by more than 10x every year.

This exponential is set to continue, above all because of the continuing trend that AI models that reason with more tokens produce far smarter outputs. Players that fail to scale their token processing will be out of the race.

Frontier model inference has two critical requirements that existing hardware cannot satisfy simultaneously: low latency and high throughput.

Fractile is building the first of a new generation of processors, where memory and compute are physically interleaved to deliver both, simultaneously — serving thousands of tokens per second to thousands of concurrent users, at a power budget and scale that no other system can match.

Serving tokens cheaper at such a radically faster pace will not only optimise existing deployments, it will create entire new possibilities. Massively longer context windows will enable new workloads, with models capable of complex autonomous tasks like research and software development, compressed from days of human work into minutes.