We have signed a new agreement with Amazon that will deepen our existing partnership and secure up to 5 gigawatts (GW) of capacity for training and deploying Claude
大多数人认为AI公司主要依赖通用GPU芯片训练模型，但Anthropic与Amazon的合作表明他们正大规模采用专用AI芯片(Trainium)，这挑战了行业对通用芯片依赖的主流认知。5GW的容量远超大多数AI公司的规模，反映了专用芯片在AI训练中的经济性和效率优势正在被重新评估。
Chinese labs, for their part, are not purely idealistic: Open-source is not only free advertising but also a shrewd workaround. Without access to cutting-edge chips restricted by US export controls, releasing models openly accelerates the cycle of external feedback and contributions that compensates for constrained compute.
大多数人认为中国开源AI是出于理想主义或技术自信，但作者认为这实际上是一种战略性的 workaround（变通方法）。由于无法获得美国限制出口的高端芯片，中国通过开放源代码来加速外部反馈循环，弥补计算能力的不足，这是一种务实而非理想主义的策略。
We train and run Claude on a range of AI hardware—AWS Trainium, Google TPUs, and NVIDIA GPUs—which means we can match workloads to the chips best suited for them.
大多数人认为AI公司会依赖单一硬件供应商以获得最佳性能，但Anthropic采用多平台策略，挑战了行业共识。这种多元化方法虽然增加了复杂性，但提供了更好的性能和弹性，暗示了AI计算的未来可能更加分散而非集中。