Eridu just raised over $200 million in Series A funding—an unusually large round that signals serious investor conviction that AI’s explosive growth has created a fundamental infrastructure crisis. The networking startup, led by serial entrepreneur Drew Perkins, emerged from stealth with backing from legendary investor John Doerr at Kleiner Perkins to tackle what the company calls the “network wall” throttling AI data centers.

The funding round’s size reflects both the capital intensity of hardware development and recognition that current data center networking wasn’t designed for AI’s massive communication demands. As training clusters scale to thousands of GPUs and models grow larger, the networks connecting them have become critical bottlenecks that billions in AI infrastructure investment can’t solve with software alone.

Upscale AI raised $200 million in Series A funding at a $1 billion+ valuation, reaching unicorn status just months after its $100 million seed round. The rapid ascent reflects growing industry consensus that networking has become the critical bottleneck for scaling AI systems.

The Santa Clara startup’s meteoric rise signals a fundamental shift in AI infrastructure priorities. While the industry has focused intensively on compute and storage, networking—the connective tissue that enables AI systems to function as unified clusters—has emerged as the next frontier requiring purpose-built solutions rather than retrofitted legacy approaches.