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AI 辅助插画 · 参考照片：Fuzheado · CC BY 4.0 · 依据参考照片使用 AI 绘制细线彩铅人物插画，调整背景、构图与色彩；网页与分享卡片按版式缩放、裁切并叠加文字。展示图缩放至最长边 640 像素并转为 WebP。 · 参考图：File:SXSW-2024-alih-OB7A0861-Lisa Su (cropped).jpg · 照片日期：2024-03-11 13:06:41
公开发言
2原话逐字核对过；转述不加引号硬件、软件、系统与模型层之间的相互作用决定了，你对端到端全链路理解越深，构建出的系统就越优秀。这就是我们收购 World Labs 的真正原因：获得飞飞汇聚的世界级顶尖人才，并将其与 AMD 在硬件、软件和系统方面的完整能力紧密结合。
the interaction between, you know, the hardware and the software and the systems and the model layer are such that the more you understand end to end, the better system you're going to build. And so that's why we're acquiring World Labs, really is, uh, to have access to the world class talent that Feifei has brought together and really bring it together with AMD's complete capabilities around hardware, software and systems
语境：回应彭博社关于‘芯片厂商为何重金收购模型层初创公司’的提问，苏姿丰阐明计算产业端到端垂直协同的底层逻辑，强调只有深入模型研发才能定义最契合的芯片架构。
我一直强调在 AI 领域从来没有‘一刀切’的解决方案。我们谈论了很多关于大型云端算力以及我们在 CPU、GPU 上的进展；但物理 AI 世界、机器人领域的机遇，以及跨越云端、边缘与端侧的端到端能力，将是我们未来大幅增长的关键领域。
one of the things I've always said is there's no one size fits all when it comes to AI, right? I mean, we talk a lot about the big cloud compute and what we're doing in terms of CPUs and GPUs. Um, but the physical AI world, The opportunity in robotics. The end to end AI capability across cloud, edge and client. You know, those continue to be places where I believe we're going to grow a lot
语境：苏姿丰展望未来三至五年的算力格局，指出除了云端超大集群外，伴随具身智能兴起的边缘端与端侧异构芯片将是计算架构的新增长极。
