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AINewsFractile Expansion Demonstrates UK Growth Opportunity
Fractile Expansion Demonstrates UK Growth Opportunity
Big DataAI

Fractile Expansion Demonstrates UK Growth Opportunity

•February 9, 2026
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Computer Weekly – Latest IT news
Computer Weekly – Latest IT news•Feb 9, 2026

Companies Mentioned

NVIDIA

NVIDIA

NVDA

Kindred

Kindred

Intel

Intel

INTC

Why It Matters

The expansion strengthens the UK’s AI hardware supply chain, reducing reliance on foreign chip vendors while supporting economic growth and national security.

Key Takeaways

  • •£100 m investment creates UK AI hardware hub
  • •In‑memory compute claims 50× faster inference
  • •Costs projected at 10 % of GPU alternatives
  • •Team grows from 70 to 110 employees
  • •Government ties expansion to AI growth zones

Pulse Analysis

Fractile’s £100 million expansion marks one of the most ambitious hardware investments in Britain’s nascent AI chip sector. By scaling its Bristol and London facilities, the Oxford‑origin startup plans to house a full‑stack engineering pipeline that covers semiconductor design, testing and software integration. The company’s in‑memory compute architecture promises to accelerate trained AI models up to fifty times faster while slashing inference costs to roughly ten percent of traditional GPU solutions. Backed by Oxford Science Enterprises, Kindred Capital and the NATO Innovation Fund, Fractile aims to ship its first chips before year‑end, positioning itself as a home‑grown alternative to imported silicon.

The performance claim directly attacks the two choke points that have limited AI inference: memory bandwidth and power consumption. Industry veterans, including former Intel CEO Pat Gelsinger, have publicly endorsed the approach, noting that a lower power envelope could unlock edge deployments previously ruled out by GPU heat and energy budgets. If Fractile delivers on its promises, it could erode Nvidia’s dominance in the inference market and give European cloud providers a cost‑effective, locally sourced option. The added 40 engineering roles also deepen the UK talent pool in a field traditionally dominated by US and Asian firms.

From a policy perspective, the Department for Science, Innovation and Technology’s Sovereign AI Unit and the network of AI growth zones that have already attracted £28.2 billion of private capital dovetail with the expansion. By anchoring a high‑performance chip maker within these zones, the government hopes to secure supply‑chain resilience and reinforce national security objectives. The move also signals a broader strategic push for British ownership of critical AI infrastructure, encouraging further venture capital flows into domestic hardware startups. If successful, Fractile could become a catalyst for a self‑sustaining AI ecosystem that fuels jobs and exports.

Fractile expansion demonstrates UK growth opportunity

UK chip startup Fractile’s £100m expansion in Bristol prompts government call for tech investment

The expansion sees the chip company expand its London and Bristol sites over the next three years to create a UK industrial hardware engineering facility. Fractile also plans to grow its UK‑based team to develop and optimise next‑generation systems.

The Oxford‑founded chip manufacturer claims it can take on the AI acceleration chip giants with a new kind of architecture that is capable of running trained AI models up to 50 times faster and at 10 % of the cost of GPU‑based AI inference.

Backed by Oxford Science Enterprises and funded by Kindred Capital and the NATO Innovation Fund, the company aims to have its AI chips ready this year. It is currently expanding its team of 70 with 40 additional roles, including hardware engineering and testing, semiconductor design and software development.

Last year, Fractile caught the attention of Intel’s former CEO, Pat Gelsinger, who posted on LinkedIn that he would be investing in the startup. In a LinkedIn post, Gelsinger said that the in‑memory compute approach to inference acceleration that Fractile is developing jointly tackles the two bottlenecks to scaling inference. According to Gelsinger, the approach overcomes the memory bottleneck that holds back today’s GPUs, while decimating power consumption.

At the time, he said the role of inference performance is still under‑appreciated, stating:

“Being able to run any given model orders of magnitude faster, at a fraction of the cost and maybe, most importantly, with a dramatically lower power envelope provides a performance leap equivalent to years of lead on model development.”

The government sees the expansion as a significant boost to the UK’s AI hardware ecosystem. Fractile positions its technology as an alternative to Nvidia graphics processor units (GPUs) for accelerating AI inference workloads.

Announcing the investment at an event in London, UK AI minister Kanishka Narayan called for greater British technology ownership to ensure the UK can command deeper influence shaping a positive future for breakthrough tech like AI. “I am setting Britain’s AI leaders a challenge – bang the drum for startups, spread the opportunities to every corner of our country and embrace risk,” he said.

As part of its industrial strategy, the Department for Science, Innovation and Technology (DSIT) has set up the Sovereign AI Unit to build and harness the UK’s AI capabilities to unlock economic growth and enhance UK national security. The strategy also includes AI growth zones, which aim to attract investments into key areas in the UK.

A year on from announcing its AI opportunities action plan, there are now five AI growth zones across Great Britain – including two in Wales and one in Scotland – generating £28.2 bn in investment, creating more than 15,000 jobs, and providing £5 m of targeted funding for each zone to drive adoption at the local level. It is now looking to designate a small number of additional AI growth zones.

“By investing in British tech innovation, just as Fractile is doing today, we can reinforce our leadership in AI and boost our influence on the global stage,” Narayan added.

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