Much of the discussion surrounding AI infrastructure lately has focused on compute and power. Faster GPUs, denser accelerator clusters, bespoke, specialized silicon, and the power required to run it all have dominated market chatter as of late. But anyone who understands the complexities of modern AI data centers knows that compute is not the sole factor that determines performance and efficiency. A significant bottleneck, that often erodes ROI and leaves multimillion dollar racks underutilized, is the network fabric and Cornelis’ new Active Compute Fabric technology is designed to address this limitation in novel ways.