CScale이 gigawatt급 AI 데이터 센터를 위해 설계된 복원력 있는 광 상호 연결 패브릭을 확대하기 위해 Series C 펀딩으로 $145 million을 모금했다.
CScale has emerged from stealth with $145 million in Series C funding and a clearly defined target: the optical interconnect layer that will determine whether tomorrow's enormous AI clusters function as coherent systems rather than expensive islands of compute.
The financing brings the Palo Alto company's total funding to $188 million. Atreides Management led the round alongside Valor Equity Partners, with Premji Invest joining as co-lead. Sutter Hill Ventures continued its backing alongside existing investor Maverick Silicon, while NVIDIA and Intel Capital joined as CScale's first strategic investors.
The unusually large round reflects a problem moving rapidly toward the center of AI infrastructure design. As training and inference systems grow, raw accelerator performance alone is insufficient. Thousands of GPUs and other processors must exchange data continuously at extremely high bandwidth with predictable latency. When those links slow down or fail, the entire cluster loses useful compute.
**The Network Is Becoming Part of the Computer**
CScale is building an integrated light engine for scale-up networks—the tightly coupled links that allow accelerators to work together as one much larger computing system. The company is designing for future gigawatt-class AI data centers, where a single scale-up domain could span thousands of accelerators across dozens of racks.
At that scale, reliability becomes as important as peak bandwidth. A fault that appears rare on one optical link becomes an everyday fleet-level event when a system contains hundreds of thousands of accelerators and an enormous number of connections. CScale's architecture is designed to contain optical failures without interrupting compute, shifting the design goal from easy component replacement to continuous operation.
"Lasers will fail. Compute shouldn't," said CScale CEO Martin Lund. The statement captures the economic argument behind the company's technology: an AI factory cannot produce returns on its accelerators when the network repeatedly leaves them idle or takes portions of the cluster offline.
As optical engines move deeper into AI infrastructure, networking is becoming part of the computing architecture itself. Bandwidth, latency, power consumption, serviceability and failure isolation increasingly determine how much useful performance a data center can extract from its silicon.
**Experienced Operators Behind a New Optical Architecture**
Lund brings three decades of experience across networking, silicon and hardware systems. He previously built Broadcom's switching business into a billion-dollar operation, held senior roles at Microsoft and Cadence, and most recently led Cisco's Common Hardware Group, which included the Silicon One portfolio as well as the company's silicon, hardware systems and optics work.
CScale was founded in 2023 by CTO Sanjai Kohli. Kohli previously co-founded SiRF, whose technology brought GPS into mass-market devices, and later founded Inovi, which Facebook acquired in 2014. CScale now employs approximately 85 people globally.
The founding team's background matters because optical interconnect is not a single-component problem. A commercially viable platform must coordinate photonics, electronics and software while fitting the operational realities of large data centers. CScale's approach is therefore architectural: build the light engine and its surrounding system to behave predictably at a scale where isolated component specifications tell only part of the story.
**Why Investors Are Betting on Reliability**
The investor roster combines financial firms with two of the semiconductor industry's most consequential strategic players. This mix suggests CScale is moving beyond early technical validation toward commercialization in an ecosystem where accelerator vendors, networking suppliers and data center operators must align closely.
Atreides Managing Partner and Chief Investment Officer Gavin Baker described AI infrastructure as a systems problem rather than simply a compute problem. Premji Invest Managing Partner Sandesh Patnam similarly emphasized CScale's ability to connect technical choices with value across the broader system.
The opportunity is significant, but so is the execution challenge. Optical technology must deliver greater bandwidth while controlling power use, heat, manufacturing complexity and failure rates. It must also integrate with fast-changing accelerator and rack architectures. Large-scale customers will judge not only laboratory performance but qualification timelines, supply-chain readiness and behavior under sustained production workloads.
CScale's $145 million Series C gives the company substantial resources to address these hurdles. It also signals that the race to scale AI is expanding beyond processors. In the next generation of AI factories, the interconnect may be what turns thousands of powerful chips into one dependable machine.