请问HN：为什么大家不讨论（也不使用）Cerebras？
Cerebras 的晶圆级芯片似乎在推理工作负载方面优于任何 Nvidia 的解决方案。既然大多数人都在云端运行推理，为什么没有更多的数据中心采用这种技术而不是 Nvidia 的 GPU 呢？这仅仅是生产瓶颈的问题吗？考虑到围绕任何与 AI 相关的进展所产生的巨大炒作，我感到惊讶的是 Cerebras 并没有获得更多的媒体关注。
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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.