Neurophos, an Austin-based semiconductor company developing photonic AI inference chips designed for high-performance, energy-efficient AI workloads, has raised $110 million in an oversubscribed Series A funding round, bringing its total funding to $118 million.
The round was led by Gates Frontier, with participation from M12 (Microsoft’s Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.
Neurophos’ photonic AI computing platform leverages optical processing to address power and scalability constraints in data center AI inference, following the company’s $110 million Series A funding round. (Photo courtesy of Neurophos)
As AI adoption accelerates, data centers are facing increasing constraints related to power consumption, scalability, and operating cost. Conventional silicon-based GPUs are struggling to meet growing computational demands for AI inference, prompting interest in alternative computing architectures capable of delivering higher performance with improved energy efficiency.
“Modern AI inference demands monumental amounts of power and compute,” said Dr. Marc Tremblay, Corporate Vice President and Technical Fellow of Core AI Infrastructure at Microsoft. “We need a breakthrough in compute on par with the leaps we’ve seen in AI models themselves, which is what Neurophos’ technology and high-talent density team is developing.”
Neurophos is addressing these challenges with a proprietary optical processing unit (OPU) architecture designed as a drop-in replacement for GPUs in data center environments. The company integrates more than one million micron-scale optical processing elements on a single chip, enabling large-scale parallelism using photonics rather than electronic computation. According to the company, this approach delivers up to 100x improvements in performance and energy efficiency compared to current leading chips.
“Moore’s Law is slowing, but AI can’t afford to wait. Our breakthrough in photonics unlocks an entirely new dimension of scaling, by packing massive optical parallelism on a single chip,” says Dr. Patrick Bowen, CEO and Co-Founder of Neurophos. “This physics-level shift means both efficiency and raw speed improve as we scale up, breaking free from the power walls that constrain traditional GPUs.”
At the core of the platform is the development of micron-scale metamaterial optical modulators, representing a reported 10,000x miniaturization compared to previous photonic elements. This advancement enables manufacturable, large-scale photonic computing architectures suitable for demanding AI inference workloads.
“As the AI industry grapples with a surge in demand that tests our ability to satisfy with compute and power, disruptive approaches to compute may open routes to sustained or accelerated systems scaling that will be needed before the end of the decade. With their approach to hyper-efficient optical computation, the Neurophos team have advanced swiftly from a working proof of concept towards a realistic plan to deliver products on a timeline we can underwrite and believe in,” said Michael Stewart, Managing Partner at M12, Microsoft’s Venture Fund.
The company’s technology is designed to significantly reduce power consumption and associated emissions while supporting increasingly complex AI workloads.
“From the start, we backed Neurophos because we believed the future of AI was bound by physics, not by algorithms,” said Chris Alliegro, Managing Partner at MetaVC Partners. “Neurophos is addressing the only problem that really matters for the future of AI: the limits imposed by silicon. Their optical architecture provides the foundation for the next generation of machine intelligence.”
“Reducing chip-related emissions is now as essential as delivering compute,” said Jonathan Goldberg, CEO of Carbon Direct Capital. “Neurophos offers step-function gains in both. This is the kind of next-generation AI infrastructure companies urgently need as their compute demands skyrocket.”
The funding will support the delivery of Neurophos’ first integrated photonic compute system, including datacenter-ready OPU modules, a full software stack, and early-access developer hardware. The company is opening a San Francisco engineering site to support early customer demand.
Additional investors include DNX Ventures, Geometry, Alumni Ventures, Wonderstone Ventures, MetaVC Partners, Morgan Creek Capital, Silicon Catalyst Ventures, Mana Ventures, Gaingels, and others. Cooley LLP served as legal counsel.
About Neurophos, Inc.
Neurophos Inc. is a semiconductor company developing photonic AI inference chips designed to deliver high performance with improved energy efficiency for data center applications. The company was founded by Dr. Patrick Bowen and Dr. Andrew Traverso, and its team includes industry professionals with experience spanning semiconductors, photonics, and AI hardware development. For more information, please click here.
Source/Photo Credit: Neurophos Inc.
(Editor’s Note: All trademarks mentioned in this article, including company names, product names, and logos, are the property of their respective owners. Use of these trademarks is for informational purposes only and does not imply any endorsement.)
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