AI News
  • Home
  • The Hague
  • Moving to NL
  • Tech News
    • AI & Tech
    • Machine Learning
    • Startups
    • Tools & Apps
    • Robotics
    • Future Tech
    • AI in Sport ⚽
    • AI in Health
    • AI in Education
    • AI in Finance
    • AI in Business
    • AI in Law
    • AI in Climate
No Result
View All Result
AI News
  • Home
  • The Hague
  • Moving to NL
  • Tech News
    • AI & Tech
    • Machine Learning
    • Startups
    • Tools & Apps
    • Robotics
    • Future Tech
    • AI in Sport ⚽
    • AI in Health
    • AI in Education
    • AI in Finance
    • AI in Business
    • AI in Law
    • AI in Climate
No Result
View All Result
AI News
No Result
View All Result

OLIX Raises $312M for Photonic AI Chips at $3.3B Value

Ramo by Ramo
10 August 2026
in Startups
0
0
SHARES
6
VIEWS
Summarize with ChatGPTShare to Facebook

Three hundred and twelve million dollars for a chip that computes with light. OLIX, a London startup most people had not heard of a year ago, has closed the largest semiconductor venture round ever raised by a European company: a $312 million Series B valuing the firm at $3.3 billion.

The pace is the story. OLIX raised $220 million as recently as February 2026, at a valuation of roughly $1 billion. Six months later its price has more than tripled, and the company still does not have a product in customers’ hands.

Chips that trade electrons for photons

OLIX builds what it calls Optical Tensor Processing Units, or OTPUs: chips that use light rather than electricity to run the matrix arithmetic behind AI models. The company pairs that silicon with photonic interconnects and what it describes as deterministic rack-scale computing, an architecture aimed squarely at large-scale inference, the business of running trained models rather than training them.

🚀
RECOMMENDED READ
Zero to One: Notes on Startups, or How to Build the Future
Peter Thiel
A contrarian guide to building companies that create something genuinely new.
View on Amazon →affiliate link

The design also does away with high-bandwidth memory, the scarce and expensive component that has become a chokepoint for conventional accelerators. If OLIX delivers on that claim, it sidesteps one of the tightest supply constraints in the entire industry, and one of the biggest line items on any chip maker’s bill of materials.

Optical computing itself is not new. Researchers have chased light-based processors since the 1980s, because photons generate less heat and move faster than electrons through copper. What has changed is the customer: AI inference workloads are uniform, predictable and gigantic, which gives a specialised architecture something it never had before, a market large enough to justify the manufacturing gamble.

Who wrote the cheques

The round brought in Fundomo, Arm and Hudson River Trading as new investors, alongside existing backers Hummingbird Ventures, Crane, Plural, Creandum, Phoenix Court and Transition. Netflix co-founder Reed Hastings joined personally. The UK government’s Sovereign AI venture fund also backed the deal, a signal that Westminster sees the company as industrial strategy as much as a private bet.

Arm’s presence deserves a second look. Britain’s most successful chip company taking a position in what could become Britain’s next one reads as either a hedge or an endorsement, and quite possibly both. Hudson River Trading’s involvement is telling in a different way: high-frequency trading firms buy speed, and deterministic low-latency inference is precisely what OLIX is promising.

The 2027 test

The money is earmarked for finishing DX-1, the company’s first platform, and expanding its custom silicon effort. Initial customer access is planned for the second half of 2027. That is a long runway in a market moving this fast, and it is where the risk lives. Photonic computing has a decades-long history of dazzling demos that never survived contact with manufacturing. OLIX has to prove it can produce OTPUs at volume, at yield, and at a cost that beats the brute-force alternative of simply buying more GPUs.

The prize, if it works, is enormous. Inference is where AI’s operating costs actually live. Every chatbot answer, every generated image, every agent grinding away in a terminal lands on an inference bill somewhere. A chip that meaningfully cuts the energy and cost of that arithmetic attacks the industry’s largest recurring expense.

Competition will not stand still either. Incumbent GPU makers iterate on an annual cadence, and a crowd of other inference-focused silicon startups is chasing the same customers. By late 2027 OLIX will be measured not against today’s accelerators but against whatever ships alongside DX-1, a moving target that has buried more than one ambitious chip company before it reached volume production.

Europe’s bet on hard tech

The round says as much about the market as about the company. Investors in 2026 are still writing enormous cheques, but increasingly for difficult technical problems rather than thin application layers built on someone else’s model. Capital is flowing toward teams that own physics, fabs and infrastructure.

For European tech, which has spent years watching its most promising AI companies get acquired or outgunned, a homegrown semiconductor firm valued at $3.3 billion before its first customer shipment is rare leverage in an industry dominated by American and Taiwanese giants. Whether OLIX becomes Europe’s answer to the inference problem or another entry in photonics’ long list of near-misses will start to become clear when DX-1 reaches its first customers in late 2027. For more coverage of the startups building AI’s infrastructure, visit Mylistingo.

SummarizeShare
Ramo

Ramo

Ramo is the editorial voice of Mylistingo — an AI and technology news platform based in The Hague, Netherlands. Covering artificial intelligence, machine learning, robotics, and the future of technology, Ramo delivers accurate, accessible reporting for both general audiences and industry professionals. Every article is fact-checked and written to meet Mylistingo's strict no-fabrication editorial standards.

Related Stories

AfterQuery reportedly becomes Y Combinator’s fastest-ever unicorn, now valued at $3.2B

AfterQuery Hits $3.2B, YC’s Fastest-Ever Unicorn

by Ramo
2 September 2026
0

Five months. That's how long it took AfterQuery to go from a $300 million startup to a $3.2 billion one. According to a report from TechCrunch published on...

Neocloud Lambda secures $1B in debt to buy more chips

Lambda Borrows $1B to Buy More Nvidia AI Chips

by Ramo
29 August 2026
0

A billion dollars in borrowed money is now standing between Lambda and its next warehouse of Nvidia chips. The AI cloud startup, known in the industry as a...

Viral AI startup Instinct has raised $350 million at a $2.5 billion valuation

Instinct Raises $350M at a $2.5 Billion Valuation

by Ramo
27 August 2026
0

A company that didn't exist two years ago just convinced investors it's worth $2.5 billion. Instinct, the AI startup that spent much of the past year as a...

Runable hits $21M to bet AI agents can go from building businesses to growing them

Runable Raises $21M to Grow Businesses With AI Agents

by Ramo
26 August 2026
0

A $21 million bet on agents that don't quit after launch Most AI startups sell you a tool. Runable is selling something stranger: a workforce that supposedly keeps...

Next Post

Meta's Muse Glimmer Puts Frontier AI on a Laptop

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

The Hague, for internationals

One email a week: what changed for expats in The Hague, what's on this weekend, and one guide worth reading. No spam, unsubscribe any time.

Free European Bank Account
Open a 100% mobile bank account in minutes
Free virtual Mastercard, zero foreign transaction fees, and instant European IBAN setup with no paperwork.
Get Started Free
Sponsored · Advertise

Recommended

Europe’s Digital Sovereignty Push in 2026: How the EU Is Reshaping Global Tech Regulation

Europe’s Digital Sovereignty Push in 2026: How the EU Is Reshaping Global Tech Regulation

22 July 2026
Colleagues working together at a table in a modern office

Anthropic’s Own Economist: AI Hasn’t Killed Jobs Yet

27 July 2026

Popular Story

  • ml_feat_56193023

    ASML’s Next-Gen High-NA EUV Machines Drive Eindhoven Expansion, Creating 20,000 New Jobs

    0 shares
    Share 0 Tweet 0
  • PixVerse closes $439m series C extension at $2b valuation

    0 shares
    Share 0 Tweet 0
  • Is Your Home Truly Safe The Smart Security Tech You Need in 2025

    0 shares
    Share 0 Tweet 0
  • How to Register at The Hague Municipality (Gemeente Den Haag): A 2026 Step-by-Step Guide

    0 shares
    Share 0 Tweet 0
  • The Rise of Neuromorphic Computing: How Brain-Inspired Chips Are Transforming AI in 2026

    0 shares
    Share 0 Tweet 0
logo ainews

We bring you the best Premium WordPress Themes that perfect for news, magazine, personal blog, etc. Check our landing page for details.

Recent Posts

  • MIT’s CW-Net Makes Self-Driving AI Explain Itself
  • OpenAI Plugs ChatGPT Into Epic’s Patient Records
  • AI Boom Puts Tech’s Climate Pledges Under Strain

Partner

Free European Bank Account
Open a 100% mobile bank account in minutes
Free virtual Mastercard, zero foreign transaction fees, and instant European IBAN setup with no paperwork.
Get Started Free
Sponsored · Advertise

Categories

  • AI & Tech
  • AI & Tech in the Netherlands
  • AI in Business
  • AI in Climate
  • AI in Education
  • AI in Finance
  • AI in Health
  • AI in Law
  • AI in Sport
  • Economy & Finance
  • Future Tech
  • Machine Learning
  • Moving to the Netherlands
  • Politics & Geopolitics
  • Robotics
  • Social Topics
  • Sport
  • Startups
  • The Hague
  • Tools & Apps
  • Uncategorized

The Hague, for internationals

One email a week: what changed for expats, what's on, one guide worth reading.

  • Home
  • Advertise
  • Latest News
  • Contact Us
  • Data Deletion Instructions
  • Editorial Policy

No Result
View All Result
  • Home
  • The Hague
  • Moving to NL
  • Tech News
    • AI & Tech
    • Machine Learning
    • Startups
    • Tools & Apps
    • Robotics
    • Future Tech
    • AI in Sport ⚽
    • AI in Health
    • AI in Education
    • AI in Finance
    • AI in Business
    • AI in Law
    • AI in Climate