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CScale's Series C funding highlights a critical bottleneck in scaling AI systems: the need for high-bandwidth optical interconnects to link massive clusters of accelerators efficiently. This investment directly addresses the infrastructure requirements for gigawatt-scale AI data centers, where traditional copper connections struggle to keep pace with compute density. The company's focus remains strictly on the physical layer enabling distributed training and inference, a core component of next-generation AI hardware architecture.

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CScale Exits Stealth with $145M to Build the Interconnect for Gigawatt-Scale AI

HPCwire30 septembrie 20261 min de cititArticolul și perspectiva sunt în engleză.

PALO ALTO, Calif., Sept. 30, 2026 — CScale today exited stealth, announcing $145 million in Series C funding to accelerate development and commercialization of optical interconnect for AI scale-up, the high-bandwidth, ultra-low-latency connections that let accelerators work together like a single, much larger computer. The round brings the company’s total funding to $188 million. The round […] The post CScale Exits Stealth with $145M to Build the Interconnect for Gigawatt-Scale AI appeared first on HPCwire.

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