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# Britain's Bet Against Nvidia
- URL: https://www.edgewisely.com/britains-bet-against-nvidia/
- Published: 2026-09-01T11:14:30.000Z
- Updated: 2026-09-01T11:14:30.000Z
- Description: How a two-year-old London chip startup raised $312 million, with the UK government's own venture fund as a backer, to build silicon that skips electricity for light.
- Author: John Karpentar
- Tags: Chips, Startups

# Britain's Bet Against Nvidia

### How a two-year-old London chip startup raised $312 million, with the UK government's own venture fund as a backer, to build silicon that skips electricity for light

**Two years ago, Olix Computing didn't exist. Now it's worth $3.3 billion, and the UK government just put its own money behind the bet.**

Olix Computing, a London-based startup building photonic AI inference chips, raised $312 million in a Series B round at a $3.3 billion valuation, according to [Data Center Dynamics](https://www.datacenterdynamics.com/en/news/chip-startup-olix-raises-312m-at-33bn-valuation-backed-by-uk-govt-sovereign-ai-venture-fund/?ref=edgewisely.com). The round was led by Fundomo, with Arm, Hudson River Trading, and Netflix co-founder Reed Hastings among the participants, per [Dealroom](https://dealroom.co/news/142656-olix-raises-312m-at-3-3b-valuation-to-challenge-nvidia/?ref=edgewisely.com). The detail that separates this from a routine AI-infrastructure raise: the UK government's own Sovereign AI venture fund also invested, according to [Data Center Dynamics](https://www.datacenterdynamics.com/en/news/chip-startup-olix-raises-312m-at-33bn-valuation-backed-by-uk-govt-sovereign-ai-venture-fund/?ref=edgewisely.com) — a state investment vehicle putting taxpayer-adjacent capital directly behind a company explicitly trying to dent Nvidia's grip on AI compute.

## What Olix is actually building

Olix's chip, DX-1, uses photonic interconnects — moving data between compute elements using light instead of electrical signaling — as the core of what the company calls an Optical Tensor Processing Unit, designed specifically for AI inference rather than training. The company says DX-1 delivers over 10,000 tokens per second per user with higher throughput per watt than general-purpose GPUs, according to [Converge Digest](https://convergedigest.com/olix-raises-312m-photonic-ai-inference-nick-mckeown/?ref=edgewisely.com). That's a narrower target than Nvidia's chips, which handle both training and inference — Olix isn't trying to out-general Nvidia, it's trying to out-specialize it on the one workload, inference, that scales with every additional AI product shipped to users rather than with the comparatively rarer act of training a new model.

The company also added Nick McKeown to its board — the Stanford professor emeritus and co-inventor of OpenFlow and P4, who won the 2025 Marconi Prize for his networking work, per [Evertiq](https://evertiq.com/news/2026-08-12-uk-startup-olix-raises-312m-appoints-nick-mckeown-to-its-board?ref=edgewisely.com). McKeown's specialty is exactly the kind of high-speed data-movement problem that photonic interconnects are meant to solve, and his board seat functions as a credibility signal for a company asking customers to bet on unproven silicon architecture over Nvidia's decade of production hardening.

## Why "sovereign AI fund" matters here

Governments backing domestic AI infrastructure isn't new — the U.S., EU, and Gulf states have all announced sovereign compute initiatives. What's notable is the target: not a data center buildout, not a national model-training effort, but a chip startup explicitly positioned as a challenger to the dominant American supplier. The UK doesn't have a domestic hyperscaler or frontier AI lab of Nvidia or OpenAI's scale; backing chip design, where the barriers to entry are lower than building a new cloud platform from scratch, is a more plausible lane for a mid-sized economy trying to claim a piece of the AI compute stack rather than remain entirely dependent on it.

## For Nvidia

Olix is one of several inference-specialist challengers — alongside a wave of AI chip startups that collectively raised roughly $4.16 billion in disclosed venture funding through 2026, according to [ValueAddVC](https://valueaddvc.com/pulse/ai-chip-startup-funding-4-16-billion-2026?ref=edgewisely.com). None of them individually threatens Nvidia's near-monopoly on training compute in the near term. But inference is the workload growing fastest as AI products scale to more users doing more queries per day, and it's also the workload most vulnerable to specialized, cost-optimized silicon rather than general-purpose GPUs. Nvidia's own Hugging Face acquisition this week, discussed elsewhere on Edgewisely, is partly a hedge against exactly this kind of erosion at the edges.

## For enterprise buyers of AI inference

DX-1 won't reach first customers until the second half of 2027, per Olix's own funding announcement — this is a bet on a future product, not a purchasing decision available today. But procurement and infrastructure teams planning multi-year AI capacity commitments now have a credible non-Nvidia option to model against, which changes negotiating leverage with incumbent suppliers even before a single DX-1 chip ships.

## For other AI hardware startups

A $3.3 billion valuation two years after founding, with a name-brand technologist on the board and sovereign capital in the cap table, sets a new benchmark for what "credible Nvidia challenger" looks like to investors. Expect more chip startups to court government venture funds explicitly rather than treating them as a nice-to-have alongside traditional VC.

## The pattern

Every dominant infrastructure layer eventually attracts specialized challengers at its margins before anyone attacks it head-on — cloud computing had this with edge and serverless providers, networking had it with SDN. Olix's bet is that inference, not training, is where Nvidia's generality becomes a liability rather than an asset, and that a government willing to underwrite the attempt is worth more than the capital alone.

*Nobody beats an incumbent by building a better version of what the incumbent already sells. You beat them by making their strength irrelevant to the workload that matters most.*

## Frequently Asked Questions

### How much did Olix Computing raise, and at what valuation?

Olix raised $312 million in a Series B round at a $3.3 billion valuation, according to [Data Center Dynamics](https://www.datacenterdynamics.com/en/news/chip-startup-olix-raises-312m-at-33bn-valuation-backed-by-uk-govt-sovereign-ai-venture-fund/?ref=edgewisely.com), just two years after the company was founded.

### What makes Olix's chip different from Nvidia's GPUs?

Olix's DX-1 chip uses photonic interconnects — moving data with light instead of electrical signals — and is built specifically for AI inference rather than the combined training-and-inference workloads Nvidia's GPUs handle, delivering over 10,000 tokens per second per user according to the company.

### Why did the UK government invest in Olix?

The UK's Sovereign AI venture fund invested as part of the round, a state investment aimed at building domestic capability in AI chip design rather than remaining fully dependent on Nvidia and other foreign suppliers, according to [Data Center Dynamics](https://www.datacenterdynamics.com/en/news/chip-startup-olix-raises-312m-at-33bn-valuation-backed-by-uk-govt-sovereign-ai-venture-fund/?ref=edgewisely.com).

### When will Olix's chip be available to customers?

Olix says the new funding will be used to complete development and get its DX-1 chip to initial customers in the second half of 2027, according to [Converge Digest](https://convergedigest.com/olix-raises-312m-photonic-ai-inference-nick-mckeown/?ref=edgewisely.com).

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**Editor's note — sources:** Additional reporting reviewed: [Dealroom](https://dealroom.co/news/142656-olix-raises-312m-at-3-3b-valuation-to-challenge-nvidia/?ref=edgewisely.com), [Evertiq](https://evertiq.com/news/2026-08-12-uk-startup-olix-raises-312m-appoints-nick-mckeown-to-its-board?ref=edgewisely.com), [ValueAddVC](https://valueaddvc.com/pulse/ai-chip-startup-funding-4-16-billion-2026?ref=edgewisely.com).