Retym Secures $75 Million for AI Networking Chips
Retym has raised $75 million this year as part of a $180 million total funding effort to develop networking chips for artificial intelligence computing in data centers, reports Reuters. The company focuses on digital signal processing (DSP) chips that facilitate rapid data transfer between large data centers, a critical need as AI applications grow.
Retym's DSP chips aim to solve connectivity bottlenecks in data centers, a challenge that arises when numerous chips must work together on AI tasks. The company's first chip is designed to move data over distances ranging from 10 to 120 kilometers, optimized for 30 to 40 kilometers. This chip uses a modulation technique to ensure data integrity during transfer.
The Series D funding round was led by Spark Capital, and Retym plans to bring its first product to market this year. The chips are being developed using Taiwan Semiconductor Manufacturing Co.'s five-nanometer process, with engineers currently testing and validating samples.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like AI Funding Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Funding
More from: Data Centers
Subscribe to AI Funding Brief
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more