So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

在 GPU 计算领域，CUDA 曾是无可替代的 "武林秘籍"—— 掌握它，就意味着手握 GPU 加速计算的钥匙。但 2025 年末，英伟达用 CUDA Toolkit 13.1 掀起了一场颠覆性变革，Tile 编程模型横空出世，让 GPU 编程从专业开发者的 "专属特权"，变成了普通开发者触手可及的工具 ...