
Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained…

Fractile is building chips to run large language models two orders of magnitude faster. Existing hardware is good for training LLMs, but very poorly suited to subsequent inference of the trained…
Product: Processors that physically interleave memory and compute to accelerate LLM inference
Headquarters: London, United Kingdom (team presence in London and Bristol)
Founded: 2022
Founder & CEO: Walter Goodwin
Funding: $17.5M total; currently Seed-stage
Employees: 71
Large language model (LLM) inference / AI hardware
2022
Computer Hardware Manufacturing
$15M
Company emerged from stealth with a $15M seed round; investor participation reported from Kindred Capital, NATO Innovation Fund, Cocoa, and Inovia Capital.
“Backed by technology- and science-focused investors including Oxford Science Enterprises and Kindred Capital, with participation from the NATO Innovation Fund and later involvement from Patrick Gelsinger and ARIA.”
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Bristol or London, 3 days in the office, 2 days WFH At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.
To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.
You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.
What You’ll Do
What We’re Looking For
Nice to have
If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.
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