Resulting HH structure: ~3 million border points, ~541,000 clusters
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。爱思助手下载最新版本是该领域的重要参考
当单一供应商占据了绝大多数份额时，下游 AI 模型跑得再快，大部分利润都会被“卖铲子的人”抽走。Meta 的“备胎转正”战略，本质上是在用海量的资本，强行砸出一个充分竞争的硬件市场。
Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.