OLIX, a London-based developer of AI inference infrastructure, has raised $312 million in Series B financing at a valuation of $3.3 billion. The funding comes two years after the company was founded and will support the development and production of its first rack-scale inference systems. The round included Fundomo, Arm and Hudson River Trading, along with angel investors including Netflix co-founder Reed Hastings. Existing investors Hummingbird Ventures, Crane, Plural, Creandum, Phoenix Court and Transition increased their commitments.
OLIX is developing specialized silicon, optical interconnects and compiler technology intended to improve the performance and energy efficiency of frontier AI inference. Its architecture distributes different stages of the token-generation process across specialized chips rather than running every operation on the same general-purpose processor. Within the OLIX X-1 platform, AI models are unrolled across multiple chips to create a production-line architecture in which each processor handles a specific portion of the model. The chips retain a flexible compute fabric, enabling the platform to support evolving model architectures without permanently hard-coding an individual model into the silicon. Data moves directly between chips through a rack-scale optical interconnect designed to provide low-latency, energy-efficient communication without relying on conventional copper connections. A deterministic compiler schedules workloads across the racks and coordinates the specialized processors.
The OLIX X-1 platform uses specialized silicon, optical interconnects and deterministic workload scheduling to create a rack-scale production line for frontier AI inference.
The first chip planned for the platform is DX-1, a decode accelerator designed for the stage at which an AI model reasons and generates its output. OLIX said that, when running models with approximately 100 billion parameters, the accelerator is designed to deliver more than 10,000 tokens per second per user while providing higher output-token throughput per watt than general-purpose processors operating with large batch sizes. The company also said its multi-rack scale-up architecture is designed to support models containing 10 trillion parameters or more. These performance figures are OLIX projections and have not yet been demonstrated through commercially deployed customer systems. DX-1 will hold model data in on-chip static random-access memory to reduce latency and energy consumption. The design avoids advanced packaging and high-bandwidth memory, two areas currently facing significant industry capacity constraints. OLIX expects this approach to make the accelerator easier to manufacture at scale using more readily available components.
The financing will support the planned delivery of DX-1 to the first OLIX customers during the second half of 2027. It will also fund development of the wider custom-silicon platform and the manufacturing and supply-chain commitments required to produce rack-scale AI infrastructure. Alongside the financing, OLIX has appointed Professor Nick McKeown to its board of directors. McKeown is a Professor Emeritus of Computer Science and Electrical Engineering at Stanford University and a co-inventor of software-defined networking, OpenFlow and the P4 programming language. He received the 2025 Marconi Prize and previously co-founded Nicira and Barefoot Networks.
In addition, OLIX has also appointed Matt Briers as Chief Financial Officer. Briers joined Wise from Google in 2015 and served as its CFO through the company’s 2021 direct listing on the London Stock Exchange. He helped build the financial organization that supported Wise during its transition from a private company to the public markets. OLIX is currently hiring across silicon, photonics, compiler and systems engineering at its locations in London, Bristol, Austin, Toronto and San Francisco.
About OLIX
Founded in London in 2024, OLIX develops infrastructure for frontier AI inference. The company designs the chips, lasers, optical interconnects, networking and compiler technology used within its systems. Its hardware is intended to be delivered as complete racks for high-performance AI inference workloads. OLIX operates across the United Kingdom, United States and Canada. For more information, please click here.
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Molly Bakewell Chamberlin is the Founder, Publisher and Editor-in-Chief of Components Source Network, a 100% woman- and disability-owned B2B publishing and expert marketplace platform serving the global high-tech manufacturing and engineering community. She is the architect, author and developer of the Network’s 11 specialized e-news sites and 11 peer-vetted expert e-marketplaces, including AI + Quantum Tech Monthly. With more than 25 years of experience in strategic technical marketing, public relations and business development, she is also the Founder and President of Embassy Global, LLC, which has supported more than 200 high-tech industry brands worldwide since 2008. Molly also serves pro bono as Second Vice Chair of the Government Team for the WBENC Forum and is a long-standing advocate for small business, supplier diversity, sustainability and women in STEM. Connect with Molly on LinkedIn.
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