Cornelis raises $205M for networking tech to challenge Nvidia

AI infrastructure company Cornelis raised $205 million and announced Active Compute Fabric, a networking technology aimed at reducing the time GPUs spend idle while waiting for data. The funding targets a specific bottleneck in Nvidia's dominance over AI data center interconnects.

Why it matters: GPU idle time from networking bottlenecks is a real, costly inefficiency in large training clusters, so a credible fix has direct economic value for anyone running big compute. It adds to a growing list of well-funded challengers targeting specific links in Nvidia's stack rather than competing on the GPU itself.