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星期四

  1. SemiAnalysis精选

    Amazon AI 复苏:AWS 与 Anthropic 扩建多吉瓦级 Trainium 基础设施

    AWS 正为 Anthropic 扩建多吉瓦级 AI 训练基础设施,三个接近完工的园区合计拥有逾 1.3GW IT 容量,最大园区将部署近百万颗 Trainium2。Trainium2 的多项性能落后于 NVIDIA 系统,但在单位内存带宽总拥有成本上具有优势,契合 Anthropic 侧重强化学习和训练后扩展的路线。Anthropic 还深度参与 Trainium 的系统设计,同时继续使用 Google TPU 和 NVIDIA GPU。

    revenue fivefold year-to-date to reach $5B annualized. To keep that trajectory, Anthropic is betting hard on Scaling Laws. While Dario’s startup draws fewer headlines than OpenAI, xAI and Meta Superintelligence, it isn’t shy about investment. AWS has well over a gigawatt of datacenter capacity in final stages of construction for its anchor customer. AWS is building datacenters faster than it ever has in its entire history. And there’s much more on the horizon. Trainium vs GPUs While Amazon’s AI

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星期六

  1. SemiAnalysis精选

    Meta 超级智能分析:领导力、算力、人才与数据

    Meta 正通过收购 Scale AI 49% 股份、组建超级智能团队并扩建 GPU 集群,全面重整生成式 AI 战略。其计划以高额薪酬引进顶尖人才,并建设 Prometheus 和 Hyperion 集群;报告同时将 Llama 4 Behemoth 的受挫归因于注意力、MoE 路由、数据质量及规模化训练问题。

    Just a year ago, Meta scrapped its decade-old “H”-shaped datacenter blueprint for a new AI-optimized design. Now in 2025, Zuck decided to re-invent the strategy again. Inspired by xAI’s unprecedented time-to-market, Meta is embracing a datacenter design that prioritizes speed above all else. They’re already building more of them! Traditional datacenter and real estate investors, still somewhat reeling from xAI’s Memphis site and time to market, will be shocked yet again. This design isn’t about

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