{"id":82094,"date":"2026-07-25T06:36:45","date_gmt":"2026-07-24T22:36:45","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/82094.html"},"modified":"2026-07-25T06:36:45","modified_gmt":"2026-07-24T22:36:45","slug":"amd-ryzen-ai-strix-halo%e6%9e%b6%e6%9e%84%e5%a4%84%e7%90%86%e5%99%a8%ef%bc%9a%e5%a6%82%e4%bd%95%e5%9c%a8%e7%ac%94%e8%ae%b0%e6%9c%ac%e4%b8%8a%e8%b7%91%e9%80%9a%e5%8e%9f%e6%9c%ac%e5%b1%9e%e4%ba%8e","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/82094.html","title":{"rendered":"AMD Ryzen AI Strix Halo\u67b6\u6784\u5904\u7406\u5668\uff1a\u5982\u4f55\u5728\u7b14\u8bb0\u672c\u4e0a\u8dd1\u901a\u539f\u672c\u5c5e\u4e8e\u670d\u52a1\u5668\u7684\u6a21\u578b\uff1f"},"content":{"rendered":"

\u672c\u6587\u5c06\u7cfb\u7edf\u5730\u4ecb\u7ecd\u4e00\u4e0b\u5982\u4f55\u5728 Strix Halo \u5e73\u53f0\u4e0a\u90e8\u7f72\u670d\u52a1\u5668\u7ea7 AI \u5927\u6a21\u578b\u3002\u5148\u753b\u4e00\u5f20\u6574\u4f53\u67b6\u6784\u56fe，\u518d\u8be6\u7ec6\u5c55\u5f00\u3002
\n\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u4e00\u3001\u4e3a\u4ec0\u4e48 Strix Halo \u80fd\u8dd1\u670d\u52a1\u5668\u7ea7\u5927\u6a21\u578b？<\/h3>\n

\u6838\u5fc3\u4f18\u52bf：\u7edf\u4e00\u5927\u5185\u5b58\u7a81\u7834\u663e\u5b58\u74f6\u9888<\/h4>\n

\u4f20\u7edf\u6d88\u8d39\u7ea7 GPU（RTX 4090）\u6700\u591a\u53ea\u6709 24 GB \u72ec\u7acb\u663e\u5b58，\u65e0\u6cd5\u5728\u5355\u5361\u4e0a\u8fd0\u884c 70B \u53c2\u6570\u6a21\u578b\u3002Strix Halo（Ryzen AI Max+ 395）\u6700\u591a\u652f\u6301 128 GB LPDDR5X-8000 \u7edf\u4e00\u5185\u5b58，CPU \u548c iGPU \u5171\u4eab\u8fd9\u5757\u5185\u5b58，\u56e0\u6b64\u53ef\u4ee5\u5b8c\u6574\u52a0\u8f7d Llama 3.1 70B \u7684 BF16 \u5168\u7cbe\u5ea6\u6743\u91cd，\u800c\u6ca1\u6709\u4efb\u4f55\u6d88\u8d39\u7ea7 NVIDIA \u663e\u5361\u80fd\u505a\u5230\u8fd9\u4e00\u70b9\u3002<\/p>\n

\u4e0e\u72ec\u7acb\u663e\u5361\u7684\u4e13\u7528 VRAM \u4e0d\u540c，Ryzen AI Max \u91c7\u7528\u7edf\u4e00\u5185\u5b58\u67b6\u6784，\u901a\u8fc7 GTT（\u56fe\u5f62\u8f6c\u6362\u8868）\u8ba9 GPU \u8bbf\u95ee\u7cfb\u7edf\u5185\u5b58，\u914d\u7f6e\u540e\u7ea6\u6709 96 GB \u53ef\u7528\u4e8e LLM \u63a8\u7406，\u53ef\u4ee5\u52a0\u8f7d\u539f\u672c\u9700\u8981\u591a\u5757\u9ad8\u7aef GPU \u624d\u80fd\u8fd0\u884c\u7684\u6a21\u578b\u3002<\/p>\n

\n

\u4e8c\u3001\u7cfb\u7edf\u51c6\u5907：BIOS \u4e0e\u5185\u6838\u914d\u7f6e（Linux \u6700\u4f18）<\/h3>\n

BIOS \u5173\u952e\u914d\u7f6e：<\/p>\n

  • UMA（\u7edf\u4e00\u5185\u5b58\u67b6\u6784）\u5206\u914d：\u5c06 GPU \u4e13\u7528\u663e\u5b58\u5206\u533a\u8bbe\u4e3a 96 GB（\u6216\u5c3d\u91cf\u5927），\u8fd9\u76f4\u63a5\u51b3\u5b9a GPU \u53ef\u89c1\u7684\u663e\u5b58\u6c60\u5927\u5c0f\u3002<\/li>\n
  • TDP \u529f\u8017\u914d\u7f6e：\u5efa\u8bae\u8bbe\u4e3a 85 W，\u8fd9\u662f\u6027\u80fd\/\u6548\u7387\u7684\u6700\u4f18\u5e73\u8861\u70b9；24 \u5c0f\u65f6\u63a8\u7406\u670d\u52a1\u5668\u53ef\u5728 65\u201390 W \u533a\u95f4\u8fd0\u884c\u3002<\/li>\n
  • IOMMU：\u7981\u7528，\u907f\u514d\u5185\u5b58\u8bbf\u95ee\u88ab\u9650\u5236\u3002<\/li>\n

    Linux \u5185\u6838\u8981\u6c42：<\/p>\n

    \u9700\u8981\u5185\u6838 6.16.9 \u6216\u66f4\u9ad8\u7248\u672c\u624d\u80fd\u83b7\u5f97\u5b8c\u6574\u7684\u5185\u5b58\u8bbf\u95ee\u652f\u6301\u3002\u5982\u679c\u7cfb\u7edf\u5185\u6838\u8f83\u65e7，\u53ef\u901a\u8fc7 mainline \u5de5\u5177\u5b89\u88c5\u65b0\u5185\u6838：<\/p>\n

    sudo<\/span> add-apt-repository ppa:cappelikan\/ppa -y<\/span>
    \nsudo<\/span> apt<\/span> update
    \nsudo<\/span> apt<\/span> install<\/span> mainline -y<\/span>
    \nsudo<\/span> mainline –install<\/span> 6.16<\/span>.9<\/p>\n

    \n

    \u4e09\u3001\u9a71\u52a8\u5c42：Vulkan RADV vs ROCm，\u5982\u4f55\u9009\u62e9？<\/h3>\n

    AMDVLK（AMD \u4ee5\u524d\u7684\u5f00\u6e90 Vulkan \u9a71\u52a8）\u5df2\u4e8e 2025 \u5e74 4 \u6708\u505c\u6b62\u66f4\u65b0，RADV \u73b0\u5728\u662f AMD \u552f\u4e00\u652f\u6301\u7684\u5f00\u6e90 Vulkan \u9a71\u52a8\u3002RADV \u5728\u63d0\u793a\u8bcd\u5904\u7406（pp）\u4e0a\u6bd4 AMDVLK \u5feb 63%，\u4e14\u89e3\u7801\u901f\u5ea6\u4e5f\u66f4\u5feb\u3002\u7279\u522b\u6ce8\u610f：\u5373\u4f7f\u4e0d\u4e3b\u52a8\u4f7f\u7528 AMDVLK，\u5176 ICD \u914d\u7f6e\u6587\u4ef6\u4ecd\u4f1a\u9759\u9ed8\u52ab\u6301 Vulkan，\u5c06\u63d0\u793a\u8bcd\u5904\u7406\u901f\u5ea6\u51cf\u534a\u2014\u2014\u5e94\u5f7b\u5e95\u5378\u8f7d\u3002<\/p>\n

    \u5b9e\u9645\u9009\u62e9\u5efa\u8bae：<\/p>\n\n\u573a\u666f\u63a8\u8350\u540e\u7aef<\/tr>\n\n\n\n\n
    \u65e5\u5e38 LLM \u63a8\u7406（\u77ed\u4e0a\u4e0b\u6587）<\/td>\nVulkan RADV<\/td>\n<\/tr>\n
    \u9700\u8981 vLLM \u517c\u5bb9<\/td>\nROCm HIP<\/td>\n<\/tr>\n
    MoE \u5927\u6a21\u578b<\/td>\nVulkan + Flash Attention<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4f7f\u7528 ROCm HIP \u65f6\u9700\u8981\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf HSA_OVERRIDE_GFX_VERSION=11.5.1，Ollama 0.20+ \u5df2\u4fee\u590d\u6b64\u95ee\u9898\u3002<\/p>\n

    \n

    \u56db\u3001\u63a8\u7406\u6846\u67b6\u8be6\u7ec6\u90e8\u7f72<\/h3>\n

    \u65b9\u6848 A：Ollama（\u6700\u5feb\u4e0a\u624b）<\/h4>\n

    # \u5b89\u88c5 Ollama<\/span>
    \ncurl<\/span> -fsSL<\/span> https:\/\/ollama.com\/install.sh |<\/span> sh<\/span><\/p>\n

    # \u542f\u7528 Flash Attention（\u5173\u952e\u4f18\u5316）<\/span>
    \nexport<\/span> OLLAMA_FLASH_ATTENTION<\/span>=<\/span>1<\/span><\/p>\n

    # \u76f4\u63a5\u62c9\u53d6\u8fd0\u884c 70B \u6a21\u578b<\/span>
    \nollama run llama3.1:70b
    \nollama run qwen3:30b-a3b # MoE \u7ed3\u6784，\u901f\u5ea6\u66f4\u5feb<\/span><\/p>\n

    \u542f\u7528 Flash Attention \u662f\u5bf9 Strix Halo \u6700\u91cd\u8981\u7684\u5355\u9879\u4f18\u5316；Ollama 0.21 \u7248\u672c\u5f00\u59cb\u9ed8\u8ba4\u542f\u7528\u3002<\/p>\n

    \u65b9\u6848 B：llama.cpp + ROCm（\u6027\u80fd\u6700\u5f3a）<\/h4>\n

    AMD \u5b98\u65b9\u63d0\u4f9b\u4e86\u9762\u5411 gfx1151（Strix Halo GPU \u4ee3\u53f7）\u7684\u9884\u7f16\u8bd1\u4e8c\u8fdb\u5236：<\/p>\n

    # \u4f7f\u7528 Lemonade SDK \u9884\u7f16\u8bd1\u5305（\u514d\u53bb\u81ea\u884c\u7f16\u8bd1）<\/span>
    \nwget<\/span> https:\/\/github.com\/lemonade-sdk\/llamacpp-rocm\/releases\/latest\/download\/\\\\<\/span>
    \nllama-bXXXX-ubuntu-rocm-gfx1151-x64.zip
    \nunzip<\/span> llama-bXXXX-ubuntu-rocm-gfx1151-x64.zip
    \nchmod<\/span> +x llama-cli llama-server<\/p>\n

    # \u9a8c\u8bc1 GPU \u8bc6\u522b<\/span>
    \n.\/llama-cli –list-devices
    \n# \u5e94\u8f93\u51fa: Device 0: AMD Radeon Graphics, gfx1151<\/span><\/p>\n

    # \u8fd0\u884c 70B \u6a21\u578b，\u5f00\u542f Flash Attention<\/span>
    \n.\/llama-server \\\\<\/span>
    \n -m<\/span> Llama-3.1-70B-Instruct-Q4_K_M.gguf \\\\<\/span>
    \n –n-gpu-layers 999<\/span> \\\\<\/span> # \u5168\u90e8\u5c42\u5378\u8f7d\u5230 GPU<\/span>
    \n -fa<\/span> \\\\<\/span> # Flash Attention<\/span>
    \n –ctx-size 32768<\/span> \\\\<\/span>
    \n –host<\/span> 0.0<\/span>.0.0 –port<\/span> 8080<\/span><\/p>\n

    Lemonade SDK \u63d0\u4f9b\u4e86\u5185\u7f6e ROCm 7 \u52a0\u901f\u7684 llama.cpp \u591c\u95f4\u6784\u5efa\u7248\u672c，\u4e13\u95e8\u9488\u5bf9 gfx1151（Strix Halo \/ Ryzen AI Max+ 395）\u4f18\u5316\u3002<\/p>\n

    rocWMMA \u52a0\u901f（\u9488\u5bf9 BF16\/FP16 \u5927\u5e45\u63d0\u901f）：<\/p>\n

    rocWMMA \u6807\u8bb0\u7684\u6784\u5efa\u7248\u672c\u5229\u7528\u4e86 AMD \u7684 rocWMMA \u5e93，\u89e3\u9501\u4e86\u901a\u8fc7\u6ce2\u5f62\u77e9\u9635\u4e58\u7d2f\u52a0（WMMA）\u6307\u4ee4\u52a0\u901f\u7684\u77e9\u9635\u4e58\u6cd5\u6d41\u6c34\u7ebf，\u53ef\u663e\u8457\u63d0\u5347 BF16\/FP16 \u5de5\u4f5c\u8d1f\u8f7d\u7684\u6027\u80fd\u3002<\/p>\n

    \u65b9\u6848 C：NPU \u52a0\u901f（FastFlowLM）<\/h4>\n

    FastFlowLM \u662f\u4e13\u4e3a AMD Ryzen AI NPU \u8bbe\u8ba1\u7684\u63a8\u7406\u8fd0\u884c\u65f6，\u65e0\u9700 GPU \u5373\u53ef\u8fd0\u884c\u3002\u5b83\u7c7b\u4f3c Ollama，\u4f46\u4e13\u95e8\u9488\u5bf9 NPU \u4f18\u5316，\u652f\u6301\u9ad8\u8fbe 256,000 tokens \u7684\u8d85\u957f\u4e0a\u4e0b\u6587，\u63d0\u4f9b CLI\u3001REST \u548c OpenAI \u517c\u5bb9 API \u63a5\u53e3，\u8fd0\u884c\u65f6\u4ec5\u7ea6 14 MB\u3002<\/p>\n

    # \u5b89\u88c5 FastFlowLM（\u901a\u8fc7 Lemonade Server）<\/span>
    \nflm pull qwen3:1.7b
    \nflm run qwen3:1.7b<\/p>\n

    \u5728 Windows \u4e0b\u7528 NPU \u8fd0\u884c Mistral 7B，\u89e3\u7801\u901f\u5ea6\u7ea6 4\u20135 tok\/s，\u800c\u7eaf GPU \u8def\u5f84\u7ea6 40 tok\/s\u3002AMD \u6b63\u5728\u63a8\u8fdb"\u5206\u89e3\u63a8\u7406"\u6982\u5ff5\u2014\u2014\u8ba1\u7b97\u5bc6\u96c6\u7684\u63d0\u793a\u8bcd\u5904\u7406\u7531 NPU \u627f\u62c5，\u5185\u5b58\u5e26\u5bbd\u5bc6\u96c6\u7684\u89e3\u7801\u9636\u6bb5\u7531 GPU \u5904\u7406，\u8fd9\u5bf9\u529f\u8017\u53d7\u9650\u7684\u7b14\u8bb0\u672c\u7535\u8111\u610f\u4e49\u91cd\u5927\u3002<\/p>\n

    \n

    \u4e94\u3001\u91cf\u5316\u7b56\u7565：\u6a21\u578b\u7cbe\u5ea6\u4e0e\u5185\u5b58\u6743\u8861<\/h3>\n\n\u91cf\u5316\u683c\u5f0f\u5185\u5b58\u5360\u7528（70B）\u901f\u5ea6\u8d28\u91cf\u63a8\u8350\u573a\u666f<\/tr>\n\n\n\n\n\n\n
    BF16 \u5168\u7cbe\u5ea6<\/td>\n~140 GB<\/td>\n\u6700\u6162<\/td>\n\u6700\u4f18<\/td>\n\u8bc4\u4f30\/\u5fae\u8c03<\/td>\n<\/tr>\n
    Q8_0<\/td>\n~70 GB<\/td>\n\u8f83\u5feb<\/td>\n\u6781\u4f73<\/td>\n\u9ad8\u8d28\u91cf\u63a8\u7406<\/td>\n<\/tr>\n
    Q4_K_M<\/td>\n~40 GB<\/td>\n\u5feb<\/td>\n\u826f\u597d<\/td>\n\u65e5\u5e38\u63a8\u7406\u2605<\/td>\n<\/tr>\n
    Q3_K_M<\/td>\n~30 GB<\/td>\n\u6700\u5feb<\/td>\n\u4e00\u822c<\/td>\n\u8d85\u5927\u6a21\u578b<\/td>\n<\/tr>\n
    IQ4_XS<\/td>\n~35 GB<\/td>\n\u5feb<\/td>\n\u8f83\u597d<\/td>\nMoE \u6a21\u578b\u2605<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    MoE \u6a21\u578b\u662f Strix Halo \u7684\u9690\u85cf\u738b\u724c\u2014\u2014MoE \u67b6\u6784（\u5982 Qwen3 30B-A3B）\u867d\u7136\u603b\u53c2\u6570\u91cf\u5927，\u4f46\u6bcf\u6b21\u63a8\u7406\u53ea\u6fc0\u6d3b\u5c11\u91cf\u53c2\u6570，\u5728\u5185\u5b58\u5e26\u5bbd\u53d7\u9650\u7684 APU \u4e0a\u901f\u5ea6\u53cd\u800c\u8fdc\u8d85\u540c\u7b49\u53c2\u6570\u7684\u5bc6\u96c6\u6a21\u578b\u3002<\/p>\n

    \n

    \u516d\u3001\u5b9e\u6d4b\u6027\u80fd\u57fa\u51c6<\/h3>\n

    \u57fa\u4e8e Vulkan RADV \u540e\u7aef\u7684\u5b9e\u6d4b\u6570\u636e（Beelink GTR9 Pro，Ryzen AI Max+ 395，128 GB）：<\/p>\n

      \n
    • Gemma 4 26B-A4B：\u89e3\u7801 48.5 tok\/s<\/li>\n
    • Llama 4 Scout 109B：\u89e3\u7801 18.3 tok\/s（RTX 4090 \u6839\u672c\u65e0\u6cd5\u52a0\u8f7d\u6b64\u6a21\u578b）<\/li>\n
    • Qwen3.6 MoE：\u7ea6 50.5 tok\/s<\/li>\n<\/ul>\n
      \n

      \u4e03\u3001\u591a\u673a\u96c6\u7fa4：\u7a81\u7834\u5355\u673a\u9650\u5236<\/h3>\n

      \u5f53\u5355\u53f0\u673a\u5668\u5185\u5b58\u4e0d\u591f\u8dd1\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u65f6，\u53ef\u901a\u8fc7 llama.cpp \u7684 RPC \u673a\u5236\u7ec4\u7f51：<\/p>\n

      \u5229\u7528 llama.cpp RPC \u5f15\u64ce，\u4e00\u53f0\u4e3b\u673a\u8d1f\u8d23 tokenization\u3001\u8c03\u5ea6\u548c\u7f16\u6392，\u5176\u4f59\u673a\u5668\u8fd0\u884c\u8f7b\u91cf\u7ea7 RPC server \u66b4\u9732\u672c\u5730 GPU \u5185\u5b58\u548c\u7b97\u529b\u3002\u6a21\u578b\u4ece\u4e3b\u673a\u89c6\u89d2\u770b\u5c31\u50cf\u8fd0\u884c\u5728\u4e00\u5757\u8d85\u5927\u52a0\u901f\u5668\u4e0a，RPC \u5728\u5e55\u540e\u5904\u7406\u5f20\u91cf\u4f20\u8f93\u4e0e\u540c\u6b65\u2014\u2014\u6574\u4e2a\u6846\u67b6\u5b8c\u7f8e\u5339\u914d Ryzen AI Max+ \u7684\u7edf\u4e00\u5185\u5b58\u67b6\u6784，\u53ef\u5b9e\u73b0\u5bf9 Kimi K2.5 \u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u7684\u672c\u5730\u63a8\u7406\u3002<\/p>\n

      # \u4ece\u8282\u70b9（\u6bcf\u53f0\u673a\u5668\u6267\u884c）<\/span>
      \n.\/rpc-server –host<\/span> 0.0<\/span>.0.0 –port<\/span> 50052<\/span><\/p>\n

      # \u4e3b\u8282\u70b9（\u5206\u7247\u52a0\u8f7d\u6a21\u578b）<\/span>
      \n.\/llama-server \\\\<\/span>
      \n -m<\/span> kimi-k2.5-Q4_K_M.gguf \\\\<\/span>
      \n –rpc<\/span> 192.168<\/span>.1.2:50052,192.168.1.3:50052,192.168.1.4:50052 \\\\<\/span>
      \n -fa<\/span> –ctx-size 16384<\/span><\/p>\n

      \n

      \u516b\u3001\u5173\u952e\u8c03\u4f18\u6e05\u5355<\/h3>\n
    • \u59cb\u7ec8\u4fdd\u6301 llama.cpp \u6700\u65b0\u7248：\u5bf9 MoE \u6a21\u578b\u800c\u8a00，\u66f4\u65b0 llama.cpp \u5e26\u6765\u7684\u6027\u80fd\u63d0\u5347（+25%）\u8d85\u8fc7\u4e86\u6240\u6709\u5185\u6838\u53c2\u6570\u8c03\u4f18\u3001\u6279\u6b21\u5927\u5c0f\u8c03\u6574\u548c\u9a71\u52a8\u5bf9\u6bd4\u7684\u603b\u548c\u3002<\/li>\n
    • \u542f\u7528 Flash Attention：-fa 1 \u6216 OLLAMA_FLASH_ATTENTION=1<\/li>\n
    • \u5378\u8f7d AMDVLK：\u9632\u6b62\u9759\u9ed8\u52ab\u6301 Vulkan<\/li>\n
    • \u4f7f\u7528 tuned \u6027\u80fd\u5b88\u62a4\u8fdb\u7a0b：accelerator-performance \u914d\u7f6e\u6587\u4ef6\u53ef\u5e26\u6765 +5\u20138% \u7684 LLM \u901f\u5ea6\u63d0\u5347\u3002<\/li>\n
    • ROCm \u73af\u5883\u53d8\u91cf：HSA_OVERRIDE_GFX_VERSION=11.5.1（\u4f7f\u7528 ROCm \u8def\u5f84\u65f6）<\/li>\n

      \u603b\u4f53\u800c\u8a00，Strix Halo \u7684\u6838\u5fc3\u7ade\u4e89\u529b\u5728\u4e8e：\u7528\u7b14\u8bb0\u672c\/\u8ff7\u4f60 PC \u7684\u529f\u8017（65\u2013120 W）\u548c\u4ef7\u683c（\u7ea6 \u00a514,000 \u8d77），\u5b9e\u73b0\u539f\u672c\u9700\u8981\u670d\u52a1\u5668\u7ea7\u591a\u5361\u914d\u7f6e\u624d\u80fd\u652f\u6491\u7684 70B+ \u6a21\u578b\u672c\u5730\u63a8\u7406，\u4e14\u6570\u636e\u5b8c\u5168\u4e0d\u51fa\u672c\u5730，\u6ee1\u8db3\u9690\u79c1\u548c\u5408\u89c4\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u672c\u6587\u5c06\u7cfb\u7edf\u5730\u4ecb\u7ecd\u4e00\u4e0b\u5982\u4f55\u5728 Strix Halo \u5e73\u53f0\u4e0a\u90e8\u7f72\u670d\u52a1\u5668\u7ea7 AI \u5927\u6a21\u578b\u3002\u5148\u753b\u4e00\u5f20\u6574\u4f53\u67b6\u6784\u56fe，\u518d\u8be6\u7ec6\u5c55\u5f00\u3002\u4e00\u3001\u4e3a\u4ec0\u4e48 Strix Halo \u80fd\u8dd1\u670d\u52a1\u5668\u7ea7\u5927\u6a21\u578b？
      \n\u6838\u5fc3\u4f18\u52bf：\u7edf\u4e00\u5927\u5185\u5b58\u7a81\u7834\u663e\u5b58\u74f6\u9888
      \n\u4f20\u7edf\u6d88\u8d39\u7ea7 GPU（RTX 4090）\u6700\u591a\u53ea\u6709 24 GB \u72ec\u7acb\u663e\u5b58，\u65e0\u6cd5\u5728\u5355\u5361\u4e0a\u8fd0\u884c 70B \u53c2\u6570\u6a21\u578b\u3002Strix Halo（Ryzen AI Max 395）<\/p>\n","protected":false},"author":2,"featured_media":82093,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[208,50,188],"topic":[],"class_list":["post-82094","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-gpu","tag-50","tag-188"],"yoast_head":"\nAMD Ryzen AI Strix Halo\u67b6\u6784\u5904\u7406\u5668\uff1a\u5982\u4f55\u5728\u7b14\u8bb0\u672c\u4e0a\u8dd1\u901a\u539f\u672c\u5c5e\u4e8e\u670d\u52a1\u5668\u7684\u6a21\u578b\uff1f - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/82094.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AMD Ryzen AI Strix Halo\u67b6\u6784\u5904\u7406\u5668\uff1a\u5982\u4f55\u5728\u7b14\u8bb0\u672c\u4e0a\u8dd1\u901a\u539f\u672c\u5c5e\u4e8e\u670d\u52a1\u5668\u7684\u6a21\u578b\uff1f - 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