What happened
CScale announced a $145 million Series C round led by Atreides Management, Valor Equity Partners and Premji Invest, with participation from existing backers Sutter Hill Ventures and Maverick Silicon. The round also includes strategic backing from Nvidia and Intel. The funding brings the company’s total capital raised to $188 million. CEO Martin Lund – a former Cisco Systems networking executive who joined CScale earlier this year – said the company plans to begin shipping its chip‑integrated optical interconnects by 2028. Lund declined to reveal technical specifics beyond noting that CScale will integrate lasers directly onto chips using proven fibre‑optic technology, aiming to avoid data‑flow interruptions when a laser fails.
CScale’s $145 million Series C financing was announced on Wednesday, with Atreides Management, Valor Equity Partners and Premji Invest leading the round. Existing investors Sutter Hill Ventures and Maverick Silicon also participated.
Strategic investors Nvidia and Intel joined the round, providing both capital and potential access to their AI chip ecosystems.
CEO Martin Lund, who left Cisco Systems earlier this year, said the company will ship its optical‑interconnect chips by 2028. He emphasized that CScale’s approach uses established fibre‑optic technology integrated in a novel way, rather than relying on unproven exotic components.
The company, formerly known as CSpeed, has raised a total of $188 million to date. It aims to replace copper interconnects inside AI servers with laser‑based fibre links that can maintain data flow even if a laser fails.
Source details: economictimes.indiatimes.com ↗
Why it matters
The AI boom is driving data‑center designers to replace traditional copper interconnects with optical links that can handle higher bandwidth over longer distances. Copper’s reach limits force chip designers to pack processors tightly, which in turn requires complex liquid‑cooling solutions. By integrating lasers onto chips, CScale hopes to simplify server architecture, reduce cooling costs, and improve reliability – a critical factor as AI models grow larger and demand ever‑greater data throughput. Backing from industry giants Nvidia and Intel signals confidence that the technology could become a standard component in next‑generation AI hardware, potentially reshaping the economics of AI infrastructure.
Copper interconnects limit the physical layout of AI processors, forcing dense packaging and expensive liquid‑cooling systems. Optical links can transmit data over longer distances with lower and power consumption.
Integrating lasers directly onto chips could reduce the need for separate, replaceable laser modules, improving reliability and simplifying maintenance.
Nvidia and Intel’s involvement suggests the technology may be adopted in future generations of their GPUs and CPUs, potentially accelerating industry‑wide migration to optical networking.
If successful, CScale’s solution could lower the total cost of ownership for AI data centers by reducing cooling infrastructure and enabling higher bandwidth scaling.
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What to watch next
Key indicators to monitor include CScale’s prototype demonstrations, any partnership announcements with major AI chip makers, and progress toward the 2028 shipping target. Investors and data‑center operators will be watching for performance benchmarks that compare CScale’s optical links against existing copper and competing silicon‑photonic solutions. Regulatory scrutiny around supply‑chain security for optical components could also affect rollout timelines.
Prototype performance data and third‑party validation of CScale’s laser‑on‑chip integration.
Partnerships or supply agreements with major AI chip manufacturers such as Nvidia, AMD or Intel.
Milestones toward the 2028 commercial shipping date, including pilot deployments in data‑center environments.
Regulatory or security reviews of optical components that could impact large‑scale adoption.