[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-amd":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"30a697ee-191a-4dee-bc53-604535f7c6b8","AMD","amd",3,"AMD 不只是 CPU 與 GPU 供應商，也逐漸成為 AI 資料中心與本地端推理的重要一環。這個主題涵蓋 Ryzen AI PC、GAIA 這類本地 Agent 工具，以及與 NVIDIA 在算力、記憶體和平台生態上的競爭。","AMD sits at the intersection of client chips and AI infrastructure, from Ryzen AI PCs and local agent workflows to data-center GPUs and accelerator competition. The topic covers how its hardware, software stack, and platform strategy shape cost, performance, and deployment choices.",[12,21],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"317dc8b9-9ab1-4d29-8741-a50d795f7727","amd-microsoft-windows-ml-acceleration-en","AMD and Microsoft push Windows ML on GPU and NPU","AMD and Microsoft are tightening Windows ML support with DxCGC graph compilation, GPU execution, and better NPU tooling.","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781047979576-a01a.png","en","2026-06-09T23:32:31.891479+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":17,"image_url":26,"cover_image":26,"language":19,"created_at":27},"e1f89f09-de96-4b90-95cd-405b3cf14807","tensormesh-raises-20m-cut-llm-memory-waste-en","Tensormesh raises $20M to cut LLM memory waste","Tensormesh raised $20 million from Nvidia, AMD and CoreWeave to reduce LLM reprocessing with KV caching.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780012972119-fiwk.png","2026-05-29T00:02:29.028672+00:00"]