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Celero Communications Secures $275 Million to Scale AI Networking Chips

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Sep 8, 20261 min read
Celero Communications Secures $275 Million to Scale AI Networking Chips
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Celero Communications, a startup developing networking chips for artificial intelligence infrastructure, has raised $275 million in a Series C funding round, the company announced. The financing values the Irvine, California-based firm at more than $3 billion and brings its total capital raised to $415 million.

The Financing Round

The investment was led by a trio of prominent venture firms: Atreides Management, Valor Equity Partners, and Alphabet's growth fund, CapitalG. Existing investors, including Sutter Hill Ventures and Maverick Silicon, also participated in the round.

As part of the deal, Gavin Baker, Managing Partner and Chief Investment Officer at Atreides Management, will join Celero’s board of directors. The company, founded in 2024 by veterans from Marvell, Broadcom, and Inphi, stated the new capital will be used to accelerate its product roadmap, expand R&D, and prepare for production.

Tackling the AI Bottleneck

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Celero specializes in coherent Digital Signal Processor (DSP) technology, a critical component for high-speed optical connections within data centers. The company recently announced the successful validation of the industry’s first 2nm coherent DSP silicon, a milestone that supports next-generation optical interconnects ranging from 1.6T to 3.2T.

This technology aims to solve a growing bottleneck in AI infrastructure. As hyperscale AI clusters expand, traditional optical architectures like PAM4 are approaching their practical limits in bandwidth and scalability. Celero's technology is designed to provide higher-bandwidth, lower-power connectivity essential for training and deploying large AI models.

Market Context

The funding arrives as investment in AI-related infrastructure is projected to soar. According to a report by McKinsey & Company, global data centers could require nearly $7 trillion in investment by 2030, with approximately $5.2 trillion of that dedicated to supporting AI workloads. This massive capital outlay underscores the market opportunity for companies developing foundational technologies that enable more efficient data transfer and processing.

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