Fractile's $220m round arrives as Anthropic eyes its UK silicon

"Fractile, the London-based startup designing inference chips that put compute and memory on the same die, has raised $220 million to take its hardware to production, the company said on Tuesday. The round closes above the $200 million reported target the company was understood to be sounding out in late March, as Electronics Weekly first noted, and lifts Fractile into the cohort of European chip companies pitching themselves as alternatives to Nvidia at the inference layer."

"The investor profile is what gives the round its weight. Accel is understood to have led, with former Intel chief executive Pat Gelsinger participating as an angel and operating adviser. Existing backers Kindred Capital, the NATO Innovation Fund, and Oxford Science Enterprises, which co-led Fractile's $15 million seed in July 2024, are part of the round."

"Conventional AI accelerators, including Nvidia's H- and B-series GPUs, separate the compute die from high-bandwidth memory and pay an energy and latency tax shuttling data between them. Fractile's design instead performs the matrix multiplications that dominate transformer inference inside SRAM cells located alongside the compute logic, an in-memory-compute approach the company says removes most of the DRAM dependence that is currently the binding constraint on inference cost."

"Fractile claims the resulting chip can run frontier models up to 100 times faster and 10 times cheaper than current GPU setups; more recent investor materials, frame the comparison as 25 times faster at one-tenth the cost. Whether those numbers"

Fractile, a London-based startup building inference chips that combine compute and memory on the same die, raised $220 million to move its hardware into production. The round closed above a reported $200 million target and positions the company among European chip makers pitching alternatives to Nvidia at the inference layer. Accel led the financing, with Pat Gelsinger joining as an angel investor and operating adviser. Existing backers including Kindred Capital, the NATO Innovation Fund, and Oxford Science Enterprises participated. The technology aims to challenge conventional accelerator designs that separate compute and high-bandwidth memory, requiring data movement that increases energy and latency. Fractile places matrix multiplications inside SRAM cells alongside compute logic to reduce DRAM dependence and lower inference cost, claiming large improvements in speed and cost versus GPU setups.

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