Based on the relative timelines of these efforts, this meant we needed to continue to add new functionality to internal builds of the live-service game to meet certain publisher milestone requirements despite the fact that when these features would ultimately get released to the player it would be in the offline game. As a result, we needed to continue to build out and deploy new backend functionality in our internal development environments that would never actually need to be deployed to live player-facing production environments.
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而拿下 Meta 这个全球最贪婪的算力吞噬兽，无疑是谷歌向英伟达下达的最强战书。同时，谷歌在底层软件生态上的妥协也立了大功——TPU 近期大幅优化了对 PyTorch（Meta 主导的 AI 框架）的原生支持，这让 Meta 的研发团队终于可以顺滑地将模型迁移到谷歌的硬件上。。业内人士推荐快连下载安装作为进阶阅读
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