Fractile is a UK-based startup designing chips that run large language models more efficiently by rethinking how numbers are represented and processed during AI calculations. Their approach squeezes more useful computation out of every watt of power, targeting the growing cost of running AI at scale. Fractile's architecture exploits the mathematical properties of LLMs to represent computations more efficiently than conventional floating-point approaches, extracting more useful work per watt than GPU-based solutions. Their approach targets the specific mathematical operations that dominate transformer inference, rather than trying to be a general-purpose accelerator.

The rapid scaling of LLM deployment across enterprise and consumer applications is creating massive demand for more efficient inference hardware, which Fractile's numerically optimized architecture directly addresses.

Fractile announced it will be investing over $100M into building out semiconductor capacity in the UK.