<div id="readability-page-1"><div><p><span>Alphabet, Google's parent company, is teaming up with Meta to develop &#34;TorchTPU,&#34; a project aimed at making Google's TPU chips fully compatible with the PyTorch framework, widely used in artificial intelligence development. This strategic initiative seeks to reduce the sector's reliance on Nvidia, which currently dominates the AI processor market thanks to its CUDA software ecosystem. Following the announcement, Nvidia's shares fell 2% during trading. The project could profoundly reshape the technological balance between hardware and software across the industry.</span></p><p><span>Until now, adoption of TPUs by external customers has been limited due to their weak compatibility with PyTorch, forcing developers to heavily adapt their code. TorchTPU aims to remove this barrier by offering native integration, which would enable Google to make its chips more attractive and accessible. The group is also considering partially open-sourcing the code to accelerate adoption by the community.</span></p><p><span>The project is being carried out in close collaboration with Meta, which oversees the development of PyTorch. Discussions are reportedly underway for Meta to gain broader access to Google's TPUs via managed services, which would help reduce its dependence on Nvidia GPUs, both costly and ubiquitous. This push is part of a broader Google strategy to democratize the use of its TPUs, notably through their direct deployment at customers and through internal appointments that strengthen the leadership of its AI division.</span></p></div></div>

谷歌-A

谷歌-C

<p>谷歌的母公司 Alphabet 正在与 Meta 合作开发 TorchTPU，旨在使谷歌的 TPU 芯片与 PyTorch 框架兼容。该倡议旨在减少对 Nvidia 人工智能处理器的依赖。公告发布后，Nvidia 的股价下跌了 2%。该项目旨在通过提供原生集成来增强 TPU 的采用，并可能部分开源代码。Meta 可能会获得更广泛的谷歌 TPU 访问权限，从而减少对 Nvidia GPU 的依赖。这是谷歌推动 TPU 使用普及和加强其人工智能部门战略的一部分</p>

Google and Meta join forces to weaken Nvidia's dominance in AI

- Alphabet 与 Meta 合作开发 "TorchTPU"，旨在提升 TPU 与 PyTorch 的兼容性。  
- 该项目旨在减少对 Nvidia 的依赖，可能影响整个行业的技术平衡。  
- 项目还考虑部分开源代码，以促进社区采用，并为 Meta 提供更多 TPUs 的访问权限。

谷歌和 Meta 携手合作，试图削弱 Nvidia 在人工智能领域的主导地位