Fractile has raised a $720 million Series C funding round to build chips for running AI models. Its specialised chips are planned for data centre deployment next year, so the promised performance gains remain a future test.
Thrive Capital, Founders Fund, Lightspeed Venture Partners and Redpoint led Fractile’s funding round. It follows a $220 million Series B announced in May.
The UK startup designs AI inference chips, which run AI models, and is developing both chips and systems to generate outputs faster. Its approach places DRAM memory above the logic layer, targeting bandwidth beyond HBM and capacity beyond SRAM.
Fractile expects its specialised hardware to be ready for use in data centres next year. The company says its architecture can run large language models faster while lowering operating costs. For businesses building with AI, that offers a potential alternative for running models, but the deployment timetable and performance promises still need to translate into usable hardware.
The committed capital gives an alternative AI chip supplier substantial backing to develop its hardware.
Faster model output at lower operating cost could change the economics of AI products if Fractile delivers its claims.
Builders cannot yet treat the promised gains as available capacity because data centre deployment is still planned for next year.
Written automatically by the Made in 10 Newsroom from the source above.
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