Cerebras' wafer-scale chips seem like the outperform any of Nvidia's solutions for inference workloads. Since most people run inference in the cloud anyway, why aren't more datacenters being built with this technology instead of Nvidia GPUs? Is it simply a production bottleneck? Given the magnitude of hype around any AI-related advances, I'm surprised that Cerebras doesn't get more press.
