{"id":2956,"date":"2026-03-09T10:13:38","date_gmt":"2026-03-09T02:13:38","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2956"},"modified":"2026-03-09T10:13:38","modified_gmt":"2026-03-09T02:13:38","slug":"cuda%e5%86%99%e9%94%99%e4%b8%80%e8%a1%8c%e4%bb%a3%e7%a0%81%e7%83%a7%e6%8e%892000%e5%85%83%ef%bc%9f%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97notebook%e6%96%ad%e7%82%b9%e7%bb%ad%e8%ae%ad%e8%ae%a9%e6%96%b0","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2956","title":{"rendered":"CUDA\u5199\u9519\u4e00\u884c\u4ee3\u7801\u70e7\u63892000\u5143\uff1f\u661f\u5b87\u667a\u7b97Notebook+\u65ad\u70b9\u7eed\u8bad\u8ba9\u65b0\u624b\u4e5f\u80fd\u8dd1\u901a\u5927\u6a21\u578b"},"content":{"rendered":"
\"CUDA\u5199\u9519\u4e00\u884c\u4ee3\u7801\u70e7\u63892000\u5143\uff1f\u661f\u5b87\u667a\u7b97Notebook+\u65ad\u70b9\u7eed\u8bad\u8ba9\u65b0\u624b\u4e5f\u80fd\u8dd1\u901a\u5927\u6a21\u578b\"<\/figure>\n
\n

\u201cCUDA \u5199\u9519\u4e00\u884c\uff0c4 \u5f20 A100 \u70e7\u4e86 6 \u5c0f\u65f6\uff0c\u4e91\u8d26\u5355 2000 \u5143\u8d77\u6b65\u3002\u201d
\n\u2014\u2014\u8fd9\u6761 Reddit \u70ed\u5e16\u4e0a\u5468\u88ab Hacker News \u9876\u5230\u9996\u9875\uff0c\u8bc4\u8bba\u533a\u91cc 900 \u591a\u6761\u7559\u8a00\uff0c\u51e0\u4e4e\u90fd\u5728\u5410\u69fd\u540c\u4e00\u4e2a\u75db\u70b9\uff1a\u672c\u5730\u4e70\u4e0d\u8d77\u5361\uff0c\u4e91\u7aef\u53c8\u201c\u6309\u5c0f\u65f6\u6574\u6263\u201d\uff0c\u65b0\u624b\u8bd5\u9519\u6210\u672c\u6bd4\u5b66\u8d39\u8fd8\u8d35\u3002<\/p>\n<\/blockquote>\n

CUDA \u7f16\u7a0b\u95e8\u69db\u9ad8\uff0c\u65e9\u5df2\u4e0d\u662f\u65b0\u95fb\u3002\u5927\u6a21\u578b\u65f6\u4ee3\uff0c\u663e\u5b58\u5bf9\u9f50\u3001kernel \u540c\u6b65\u3001NCCL \u7248\u672c\u9519\u4f4d\uff0c\u4efb\u4f55\u4e00\u4e2a\u7ec6\u8282\u8e29\u5751\uff0c\u90fd\u4f1a\u5bfc\u81f4\u8bad\u7ec3\u91cd\u542f\u2014\u2014\u800c\u91cd\u542f\u610f\u5473\u7740\u518d\u4ed8\u4e00\u6b21\u6574\u5c0f\u65f6\u7684 GPU \u670d\u52a1\u5668\u79df\u7528\u8d39\u7528\u3002\u5bf9\u9ad8\u6821\u8bfe\u9898\u7ec4\u3001\u521b\u4e1a\u7b97\u6cd5\u5de5\u7a0b\u5e08\u4e43\u81f3\u60f3\u5199\u672c\u79d1\u6bd5\u8bbe\u7684\u5b66\u751f\u6765\u8bf4\uff0c\u201c\u70e7\u5361\u201d\u4e0e\u201c\u70e7\u94b1\u201d\u6210\u4e86\u540c\u4e49\u8bcd\u3002<\/p>\n

\u628a\u201c\u91cd\u542f\u201d\u53d8\u6210\u201c\u5feb\u7167\u201d\uff0c\u661f\u5b87\u667a\u7b97\u7528 Notebook \u964d\u4f4e\u8bd5\u9519\u6210\u672c<\/h2>\n

\u661f\u5b87\u667a\u7b97\u56e2\u961f\u628a\u75db\u70b9\u62c6\u6210\u4e09\u5f20\u6e05\u5355\uff1a\u73af\u5883\u90e8\u7f72\u8017\u65f6\u3001\u8bad\u7ec3\u4e2d\u65ad\u4e22\u6743\u91cd\u3001\u8ba1\u8d39\u9897\u7c92\u5ea6\u7c97\u7cd9\u3002\u5bf9\u5e94\u89e3\u6cd5\u88ab\u96c6\u6210\u8fdb\u6700\u65b0\u4e0a\u7ebf\u7684 Jupyter Notebook \u955c\u50cf<\/a><\/strong>\uff1a
\n1. \u9884\u88c5 CUDA 12.4 + PyTorch 2.2\uff0ccuDNN \u4e0e NCCL \u5df2\u505a\u7248\u672c\u9501\u6b7b\uff0c\u65e0\u9700\u81ea\u5df1\u7f16\u8bd1\uff1b
\n2. \u6bcf 30 \u79d2\u81ea\u52a8\u5feb\u7167\u6743\u91cd\u4e0e\u4f18\u5316\u5668\u72b6\u6001\u5230\u6301\u4e45\u5316 \u4e91\u786c\u76d8<\/a><\/strong>\uff0c\u65ad\u7f51\u3001\u5173\u673a\u3001\u8bef\u64cd\u4f5c\u4e00\u952e\u56de\u6eda\uff1b
\n3. \u6309\u5206\u949f\u8ba1\u8d39\uff0c\u5b9e\u4f8b\u91ca\u653e\u5373\u523b\u505c\u8d39\uff0c\u4e0d\u518d\u201c\u51d1\u6574\u5c0f\u65f6\u201d\u3002 <\/p>\n

\u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a\u628a\u201cGPU \u4e91\u4e3b\u673a\u201d\u505a\u6210\u201c\u53ef\u56de\u6863\u7684\u6e38\u620f\u5b58\u6863\u201d\uff0c\u65b0\u624b\u4e5f\u80fd 5 \u5206\u949f\u8dd1\u901a\u5341\u4ebf\u7ea7\u6a21\u578b\u3002<\/p>\n

5 \u5206\u949f\u6f14\u793a\uff1a\u4ece 0 \u5230 GPT-2 1.5B \u8bad\u7ec3\u4e0d\u4e22 checkpoint<\/h2>\n

\u4ee5\u4e0b\u6b65\u9aa4\u5168\u90e8\u5728\u6d4f\u89c8\u5668\u5185\u5b8c\u6210\uff0c\u65e0\u9700\u672c\u5730\u5b89\u88c5\u4efb\u4f55\u9a71\u52a8\uff1a<\/p>\n

    \n
  1. \u6ce8\u518c\u661f\u5b87\u667a\u7b97\u8d26\u53f7\uff0c\u65b0\u7528\u6237\u7cfb\u7edf\u76f4\u63a5\u8d60\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u7ea6\u53ef\u5151\u6362 20 \u5c0f\u65f6 RTX 4090 GPU \u670d\u52a1\u5668\u79df\u7528\u65f6\u957f\u3002 <\/li>\n
  2. \u8fdb\u5165\u201cNotebook \u4e00\u952e\u955c\u50cf\u201d\u9875\u9762\uff0c\u9009\u62e9 \u201cPyTorch 2.2 + CUDA 12.4\u201d<\/strong> \u6a21\u677f\uff0c\u5b9e\u4f8b\u89c4\u683c\u9009 RTX 4090\uff0824 GB\uff09\uff0c\u70b9\u51fb\u542f\u52a8\u3002 <\/li>\n
  3. \u5b9e\u4f8b\u521d\u59cb\u5316\u7ea6 40 \u79d2\uff0c\u6253\u5f00 JupyterLab\uff0c\u5de6\u4fa7 \/datasets<\/code> \u76ee\u5f55\u5df2\u6302\u8f7d\u516c\u5171\u6570\u636e\u96c6\uff0c\u76f4\u63a5 cp -r openwebtext .\/<\/code> \u5373\u53ef\u3002 <\/li>\n
  4. \u5728 \/models<\/code> \u76ee\u5f55\u627e\u5230 gpt2-1.5b-config.json<\/code>\uff0c\u590d\u5236\u5230\u5de5\u4f5c\u533a\uff0ctrain.py<\/code> \u5df2\u9884\u7f6e Hugging Face Trainer \u4e0e DeepSpeed zero-2 \u914d\u7f6e\u3002 <\/li>\n
  5. \u8fd0\u884c python train.py --max_steps 5000<\/code>\uff0c\u8bad\u7ec3\u542f\u52a8\u3002\u6b64\u65f6\u53ef\u5173\u95ed\u7b14\u8bb0\u672c\uff0c\u53bb\u559d\u5496\u5561\u3002 <\/li>\n<\/ol>\n

    \u65ad\u70b9\u7eed\u8bad\u573a\u666f<\/strong>\uff1a\u5047\u8bbe\u672c\u5730\u5bbd\u5e26\u6389\u7ebf\uff0c\u5b9e\u4f8b\u56e0\u5fc3\u8df3\u4e22\u5931\u88ab\u7cfb\u7edf\u56de\u6536\u3002\u91cd\u65b0\u5f00\u673a\u540e\uff0c\u5728\u63a7\u5236\u53f0\u52fe\u9009\u201c\u4f7f\u7528\u6700\u65b0\u5feb\u7167\u201d\uff0c\u4e4b\u524d\u7684 3127 \u6b65\u6743\u91cd\u3001\u4f18\u5316\u5668\u3001\u5b66\u4e60\u7387\u8c03\u5ea6\u5168\u90e8\u6062\u590d\uff0c\u7ee7\u7eed\u4ece 3128 \u6b65\u5f00\u59cb\uff0c\u65e0\u9700\u624b\u52a8 load_checkpoint<\/code>\u3002\u6574\u4e2a\u8fc7\u7a0b 30 \u79d2\u5b8c\u6210\uff0c\u663e\u5b58\u5360\u7528\u4e0e\u4e2d\u65ad\u524d\u5b8c\u5168\u4e00\u81f4\u3002<\/p>\n

    \u4ef7\u683c\uff1a\u6309\u5206\u949f\u8ba1\u8d39\uff0c\u5b9e\u9a8c\u4e2d\u65ad\u5373\u65f6\u91ca\u653e<\/h2>\n

    \u5e02\u9762\u4e0a\u591a\u6570 GPU \u4e91\u4e3b\u673a\u4ecd\u6cbf\u7528\u201c\u6574\u5c0f\u65f6\u6263\u8d39\u201d\u6a21\u5f0f\uff1a\u8bad\u7ec3 35 \u5206\u949f\u88ab\u8bb0\u4e3a 60 \u5206\u949f\uff0c\u8dd1\u4e00\u6b21\u6d88\u878d\u5b9e\u9a8c\u5c31\u8981\u7ed9 1.6 \u500d\u9884\u7b97\u3002\u661f\u5b87\u667a\u7b97\u628a\u7c92\u5ea6\u538b\u7f29\u5230 1 \u5206\u949f\uff0c\u4e14\u652f\u6301\u201c\u968f\u542f\u968f\u505c\u201d\uff1a
    \n– RTX 4090 \u5355\u4ef7 0.55 \u5143\/\u5206\u949f\uff0cA100 40 GB 1.2 \u5143\/\u5206\u949f\uff1b
    \n– \u5b9e\u4f8b\u5173\u673a\u5373\u8d26\u5355\u505c\u6b62\uff0c\u4e91\u786c\u76d8\u6309 GB\/\u5929\u53e6\u5916\u8ba1\u8d39\uff0c\u4f4e\u81f3 0.02 \u5143\/GB\uff1b
    \n– \u652f\u6301\u9884\u7ea6\u4e2d\u65ad\uff1a\u8bbe\u5b9a\u6700\u957f\u8fd0\u884c\u65f6\u957f\uff0c\u5230\u70b9\u81ea\u52a8\u5feb\u7167\u5e76\u5173\u673a\uff0c\u907f\u514d\u201c\u8fc7\u591c\u5fd8\u5173\u201d\u5bfc\u81f4\u5929\u4ef7\u8d26\u5355\u3002 <\/p>\n

    \u5bf9\u9ad8\u6821\u7528\u6237\uff0c\u5e73\u53f0\u8fd8\u63d0\u4f9b\u201c\u8bfe\u7a0b\u5238\u201d\u8ba1\u5212\uff0c\u6279\u91cf\u91c7\u8d2d\u53ef\u4f4e\u81f3 0.3 \u5143\/\u5206\u949f\uff0c\u6559\u5b66\u5b9e\u9a8c\u9884\u7b97\u7acb\u964d 45%\u3002<\/p>\n

    \u793e\u533a\u8d44\u6e90\uff1aCivitai\u3001Hugging Face \u76f4\u63a5\u6302\u8f7d\uff0c\u65e0\u9700\u624b\u52a8\u4e0b\u8f7d<\/h2>\n

    \u661f\u5b87\u667a\u7b97\u5728\u955c\u50cf\u5185\u9ed8\u8ba4\u6302\u8f7d \u516c\u5171\u8d44\u6e90\u5e93<\/strong>\uff0c\u76ee\u524d\u5df2\u540c\u6b65\uff1a
    \n– 500+ \u70ed\u95e8\u6a21\u578b\uff08LLaMA-3\u3001ChatGLM-4\u3001SDXL-1.0\u3001Whisper-large-v3\uff09\uff1b
    \n– 30 TB \u5f00\u6e90\u6570\u636e\u96c6\uff08CommonCrawl\u3001OpenWebText2\u3001COIG\u3001LAION-5B\uff09\uff1b
    \n– Civitai \u6700\u65b0 LoRA\u3001Textual Inversion \u63d2\u4ef6\u6bcf\u65e5\u5b9a\u65f6\u540c\u6b65\u3002 <\/p>\n

    \u4f7f\u7528\u65b9\u5f0f\u7b80\u5355\u5230\u50cf\u201c\u590d\u5236\u7c98\u8d34\u201d\uff1acp \/models\/llama-3-8b-instruct .\/<\/code> \u5373\u53ef\u5f00\u59cb\u5fae\u8c03\uff1bStable Diffusion \u73a9\u5bb6\u76f4\u63a5 git clone \/civitai\/lora<\/code> \u5c31\u80fd\u5728\u591a\u5b9e\u4f8b\u95f4\u5171\u4eab\uff0c\u65e0\u9700\u91cd\u590d\u4e0b\u8f7d\u51e0\u5341 GB \u6743\u91cd\uff0c\u6d41\u91cf\u8d39\u7528\u5f52\u96f6\u3002<\/p>\n

    \u4e09\u6b65\u4e0a\u624b\uff0c\u7acb\u523b\u4f53\u9a8c<\/h2>\n
      \n
    1. \u6253\u5f00 \u661f\u5b87\u667a\u7b97\u5b98\u7f51<\/a><\/strong>\uff0c\u6ce8\u518c\u8d26\u53f7\uff0c\u65b0\u7528\u6237\u5f97 10 \u5143\u4f53\u9a8c\u91d1\uff1b <\/li>\n
    2. \u63a7\u5236\u53f0\u9009\u62e9 \u201cNotebook \u4e00\u952e\u955c\u50cf\u201d\uff0c\u9886\u53d6\u514d\u8d39 20 \u5c0f\u65f6 RTX 4090 GPU \u4e91\u4e3b\u673a\uff1b <\/li>\n
    3. \u5feb\u7167\u3001\u7eed\u8bad\u3001\u793e\u533a\u8d44\u6e90\u968f\u4fbf\u73a9\uff0c\u8d26\u5355\u5b9e\u65f6\u900f\u660e\uff0c\u5173\u673a\u5373\u505c\u8d39\u3002 <\/li>\n<\/ol>\n

      CUDA \u518d\u4e5f\u4e0d\u662f\u201c\u949e\u7968\u7c89\u788e\u673a\u201d\u3002\u628a\u5b9e\u9a8c\u4ea4\u7ed9\u661f\u5b87\u667a\u7b97\uff0c\u4f60\u53ea\u9700\u5173\u5fc3\u4e0b\u4e00\u7bc7\u8bba\u6587\u7684\u521b\u65b0\u70b9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u201cCUDA \u5199\u9519\u4e00\u884c\uff0c4 \u5f20 A100 \u70e7\u4e86 6 \u5c0f\u65f6\uff0c\u4e91\u8d26…<\/p>\n","protected":false},"author":2,"featured_media":2955,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2956","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":73,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2956","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=2956"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2956\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2955"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}