
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…
What they do: Build processors and full-stack systems that fuse memory and compute to accelerate LLM inference
Performance claim: Up to 25x faster inference and ~1/10th the cost (as stated by the company)
Founded: 2022
Notable funding: $220M Series B (May 2026 reported)
Headcount: 83 employees (reported)
AI inference hardware — reducing latency and cost of running large language models.
2022
Computer Hardware Manufacturing
$15M (reported)
Reported seed round following exit from stealth; participating investors reported include Kindred Capital, NATO Innovation Fund, and Oxford Sciences Enterprises
£5M
ARIA Scaling Compute programme grant (reported)
$220M
Reported lead investors named
“Factorial Funds, Accel, Founders Fund, Kindred Capital, NATO Innovation Fund, Oxford Sciences Enterprises, Innovia Capital, Cocoa, and several angel investors (reported)”
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Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.
We’re looking for an engineer to develop and maintain system-level hardware defect detection tests for an AI accelerator server platform. The role is focused on implementing, executing, and improving tests used in factory assembly and service/repair environments to identify hardware defects quickly and reliably. Work closely with the System Test Engineering Lead to translate defect detection strategy into robust, repeatable test implementations rather than design validation.
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Export control and security clearance Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.
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