ChainThink 消息,7 月 24 日,Citrini 分析师 Jukan 引用 DeepSeek 创始人梁文锋近期观点称,AI 驱动的代码生成和 TileLang 等高级编程语言,正在降低 CUDA 生态进入壁垒。
DeepSeek 虽使用英伟达 GPU 训练 V3 模型,但已通过自研编译器和 TileLang 环境降低对英伟达软件生态的依赖。
梁文锋此前预计,若将 TileLang 与 DeepSeek 编译器移植至华为芯片,中国芯片的生态问题约一年内可基本解决,主要瓶颈将转向产能。
他还称,中美芯片差距包括硬件效率约 4 倍、时间滞后约两年。
Jukan 表示,DeepSeek 正与华为紧密合作,预计将获得约 1.6 万颗华为 AI 芯片,华为 950 SuperNode 可替代 GB200/GB300 的工作负载。
其将这一趋势概括为“CUDA 护城河正在终结”,并据此看空英伟达。
Jukan 同时称,这也是其看多 AMD 的原因之一,编码 AI 的进步将加速 ROCm 生态发展,缩小其与 CUDA 的差距。
AMD 近期投资 Anthropic 时曾表示,将积极使用 Claude Code 进行芯片设计与软件工程。
Disclaimer: Contains third-party opinions, does not constitute financial advice
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