Lightmatter develops photonic computing hardware to speed up AI workloads using light-based processing. Their photonic systems run AI tasks faster and use about 90% less energy than traditional processors. They target AI and autonomous vehicle workloads and collaborate with universities to advance electro-photonic systems. Revenue comes from hardware sales, software licenses, and partnerships, with a goal of bringing scalable photonic computing to market for faster, energy-efficient AI and AV applications.
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Industries
Company Size
201-500
Company Stage
Series D
Total Funding
$822M
Headquarters
Mountain View, California
Founded
2017
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Total Funding
$822M
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Lightmatter, a photonic computing company, unveiled two optical systems built to Open Compute Project (OCP) standards at the 2026 OCP Global Summit in San Jose. The first is a 204.8 Tbps co-packaged optics (CPO) switch tray in one rack unit, developed with Flex as a production validation system. It uses eight Passage CPO engines and is liquid-cooled. The second is a 102.4 Tbps XPU tray that holds four accelerators and two CPUs. Optical links replace copper, and Lightmatter says it is the first compute tray to carry four XPUs with that bandwidth in one rack unit. Lightmatter says its switch systems are two to four times more efficient in rack faceplate density than conventional designs. SENKO and Corning supplied fibre connectivity.
Lightmatter has joined the Open CPX Multi-Source Agreement and launched the Passage L20 CPX, the industry's first Open CPX module for AI infrastructure with bidirectional optical link technology. The solution delivers 6.4 terabits per second in a single module whilst halving required fibre and connectors. The bidirectional technology combines transmit and receive on a single fibre by assigning each direction its own wavelength of light. In a 512-GPU scale-up pod, this saves more than 200 miles of fibre, reducing the total from approximately 130,000 fibres to 65,000, with around 16,000 fewer connectors. The reduction saves about 15 per cent of total scale-up interconnect network cost. Module evaluation kits are anticipated to ship in the first quarter of 2027.
Lightmatter, a photonic computing specialist, has joined NVIDIA's NVLink Fusion ecosystem to deliver high-performance optical connectivity for AI infrastructure. The company will provide Co-Packaged Optics and Near-Packaged Optics products compatible with NVIDIA's optical and SerDes technologies. Lightmatter's bi-directional optical link architecture will create a unified platform for semi-custom AI factories whilst reducing fibre and connector requirements by 50%. The technology enables semi-custom XPUs to connect with NVIDIA switch silicon through Lightmatter's products, creating seamless high-bandwidth connectivity for chips from various suppliers. The partnership combines Lightmatter's Passage CPO solutions with NVIDIA's NVLink Fusion architecture. Analysts view this collaboration as a critical milestone in the maturation of co-packaged optics, providing hyperscalers with a blueprint to overcome traditional I/O bottlenecks and scale AI clusters.
Lightmatter has unveiled Guide DR, a high-density laser network interface card that quadruples rack density compared to conventional external laser small form factor pluggables. The liquid-cooled LNIC relocates the light source from the faceplate into the chassis, solving scaling bottlenecks whilst leveraging existing cooling infrastructure. Built to OCP NIC 3.0 dimensions, a single Guide DR module can support up to 51.2 Tbps of aggregate bandwidth. Four modules in a 1 RU switch tray enable 204.8 Tbps of switching bandwidth, eliminating the need for larger 4 RU chassis with liquid-cooled lasers. The module supplies 200 mW of optical power per fibre across up to 64 fibres, driving 256 lanes at 200G each, with zero front-panel footprint. Guide DR will begin sampling in Q4 2026.
Lightmatter, a photonic computing company, has appointed Roy Kim as Vice President of Product to lead deployment of its photonic interconnect platform. Kim brings over 15 years of AI infrastructure experience from Google, AMD and NVIDIA. At Google since 2021, Kim served as Director of AI Infrastructure Product Management. He previously led Data Center GPU Product Management at AMD and spent eight years at NVIDIA in AI and high-performance computing roles. At Lightmatter, Kim will oversee product roadmap, management, marketing and strategy. The appointment follows significant product launches, including the Guide light engine in January and the Passage L20 optical engine in March. Lightmatter's technology aims to eliminate data bottlenecks in AI data centres through photonic interconnects.
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Industries
Company Size
201-500
Company Stage
Series D
Total Funding
$822M
Headquarters
Mountain View, California
Founded
2017
Find jobs on Simplify and start your career today