A networking startup called Eridu just pulled off one of the biggest Series A rounds this year, raising $200 million to build infrastructure for AI workloads. Co-founded by Drew Perkins, a networking pioneer who's been building internet tech since the early days, the company emerged from stealth with backing from legendary investor John Doerr at Kleiner Perkins. The hefty round signals serious belief that AI's explosive growth needs purpose-built networking hardware, not retrofitted data center gear.
Eridu just raised $200 million in Series A funding to tackle one of AI's most overlooked bottlenecks - the networking layer. The startup emerged from stealth mode with backing from Kleiner Perkins, where legendary investor John Doerr personally championed the deal. It's a massive vote of confidence for a company that's betting the AI boom needs fundamentally new networking architecture, not just faster versions of existing tech.
The round's size is striking. Most Series A deals hover around $15-30 million, making Eridu's $200 million haul more typical of late-stage growth rounds. That premium reflects both the capital intensity of hardware development and the pedigree of co-founder Drew Perkins, who's been inventing networking technology since the dawn of the commercial internet. Unlike the parade of twenty-something founders pitching AI wrappers, Perkins brings the kind of deep technical credibility that makes investors write bigger checks.
Perkins' track record matters here. He's not building a vibe-coded product - he's applying decades of experience to a real infrastructure problem. As AI models grow larger and training clusters expand to thousands of GPUs, the networks connecting them have become critical bottlenecks. Current data center switches and routers weren't designed for the massive all-to-all communication patterns that AI training demands. Meta, Google, and Microsoft have all built custom networking solutions internally, but the broader market still relies on retrofitted enterprise gear.
That's where Eridu sees its opening. The startup is developing networking hardware and software specifically optimized for AI workloads, though it's kept technical details under wraps during its stealth phase. The company's emergence comes as the AI infrastructure market heats up, with dominating GPUs, startups like Cerebras and Groq building specialized chips, and cloud providers racing to offer the fastest training environments.
