{"id":3123,"date":"2026-03-11T10:04:41","date_gmt":"2026-03-11T02:04:41","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3123"},"modified":"2026-03-11T10:04:41","modified_gmt":"2026-03-11T02:04:41","slug":"%e8%b7%91%e9%80%9a%e6%9c%80%e6%96%b0nvidia-nemotron-3-8b%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97gpu%e4%ba%91%e4%b8%bb%e6%9c%ba10%e5%88%86%e9%92%9f%e4%b8%80%e9%94%ae%e9%83%a8%e7%bd%b2%e5%ae%9e","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3123","title":{"rendered":"\u8dd1\u901a\u6700\u65b0NVIDIA Nemotron-3 8B\uff1a\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a10\u5206\u949f\u4e00\u952e\u90e8\u7f72\u5b9e\u5f55"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/03\/1773194680_529ec9.png\" alt=\"\u8dd1\u901a\u6700\u65b0NVIDIA Nemotron-3 8B\uff1a\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a10\u5206\u949f\u4e00\u952e\u90e8\u7f72\u5b9e\u5f55\" style=\"display:block; margin:10px auto; max-width:100%; height:auto;\" \/><\/figure>\n<blockquote>\n<p>\u80cc\u666f\u8d44\u8baf\uff1a5 \u6708 22 \u65e5\uff0cNVIDIA \u4f4e\u8c03\u5f00\u6e90 Nemotron-3 8B\uff0c\u53c2\u6570\u91cf\u53ea\u6709\u4e3b\u6d41 70B \u7684\u5341\u5206\u4e4b\u4e00\uff0c\u5374\u5728 MMLU\u3001HumanEval \u7b49\u57fa\u51c6\u903c\u8fd1 Llama-2 70B\u3002\u5f00\u53d1\u8005\u5708\u77ac\u95f4\u6cb8\u817e\u2014\u2014\u201c\u5c0f\u94a2\u70ae\u201d\u65f6\u4ee3\u6765\u4e86\uff01<\/p>\n<\/blockquote>\n<p>\u7136\u800c\u5174\u594b\u4e0d\u5230\u4e09\u79d2\uff0c\u672c\u5730 3090\/4090 \u73a9\u5bb6\u5c31\u96c6\u4f53\u6c89\u9ed8\uff1aFP16 \u6743\u91cd 16 GB\uff0c\u518d\u52a0\u4e0a KV-Cache\uff0c\u4e00\u5f20 24 GB \u663e\u5b58\u7684\u5361\u8fde\u5bf9\u8bdd\u6a21\u5f0f\u90fd\u8dd1\u4e0d\u6ee1\uff0c\u66f4\u522b\u8bf4 batch inference\u3002\u4e8e\u662f\uff0c\u201c\u6709\u6ca1\u6709\u5730\u65b9\u80fd 10 \u5206\u949f\u8dd1\u901a\uff1f\u201d\u6210\u4e86 Reddit \u4e0e\u77e5\u4e4e\u7684\u9ad8\u8d5e\u63d0\u95ee\u3002\u7b54\u6848\u6b63\u662f\uff1a<strong>GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u2014\u2014\u66f4\u51c6\u786e\u5730\u8bf4\uff0c\u662f\u661f\u5b87\u667a\u7b97\u300cAI\u5e94\u7528\u300d\u4e00\u952e\u5373\u73a9\u529f\u80fd\u3002<\/p>\n<hr \/>\n<h2>1. Nemotron-3 8B \u5f00\u6e90\u8981\u70b9\u901f\u89c8<\/h2>\n<ul>\n<li><strong>\u67b6\u6784<\/strong>\uff1a\u7eaf\u89e3\u7801\u5668 Transformer\uff0c8.03 B \u53c2\u6570\uff0cRoPE + SwiGLU + RMSNorm  <\/li>\n<li><strong>\u7cbe\u5ea6<\/strong>\uff1a\u5b98\u65b9\u63d0\u4f9b FP16\u3001BF16\u3001INT8\u3001INT4 \u56db\u6863\uff0c\u652f\u6301 vLLM\u3001DeepSpeed\u3001TGI  <\/li>\n<li><strong>\u4e0a\u4e0b\u6587<\/strong>\uff1a32 K token\uff0c\u5bf9\u6bd4\u540c\u7ea7 4 K \u6a21\u578b\u53ef\u76f4\u63a5\u8bfb\u5165 20 \u9875 PDF  <\/li>\n<li><strong>\u534f\u8bae<\/strong>\uff1a permissible license\uff0c\u5546\u7528\u53ea\u9700\u90ae\u4ef6\u5907\u6848\uff0c\u65e0\u9700\u989d\u5916\u8d39\u7528  <\/li>\n<\/ul>\n<p>\u4e00\u53e5\u8bdd\uff0c\u5b83\u7528\u201c70B \u7ea7 IQ\u201d\u585e\u8fdb\u201c7B \u8eab\u6750\u201d\uff0c\u4f46\u80c3\u53e3\u4e00\u70b9\u6ca1\u51cf\u2014\u2014FP16 \u63a8\u7406\u6700\u4f4e 20 GB \u663e\u5b58\uff0c\u63a8\u8350 32 GB \u4ee5\u4e0a\u3002\u4e2a\u4eba\u663e\u5361\u544a\u6025\uff0c<strong>GPU\u4e91\u4e3b\u673a<\/strong>\u6210\u4e3a\u552f\u4e00\u6027\u4ef7\u6bd4\u89e3\u3002<\/p>\n<hr \/>\n<h2>2. \u672c\u5730 3090\/4090 \u663e\u5b58\u544a\u6025\u75db\u70b9<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u573a\u666f<\/th>\n<th>\u663e\u5b58\u5360\u7528<\/th>\n<th>\u672c\u5730 24 GB 3090\/4090<\/th>\n<th>\u7ed3\u679c<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>FP16 \u5355\u5361\u63a8\u7406<\/td>\n<td>16 GB \u6743\u91cd + 4 GB KV-Cache<\/td>\n<td>\u52c9\u5f3a\u8dd1<\/td>\n<td>\u5e76\u53d1=1\uff0cbatch&gt;2 OOM<\/td>\n<\/tr>\n<tr>\n<td>INT8 \u91cf\u5316<\/td>\n<td>8 GB \u6743\u91cd + 4 GB KV-Cache<\/td>\n<td>\u53ef\u8dd1<\/td>\n<td>\u541e\u5410\u91cf\u4e0b\u964d 35%\uff0c\u9996 token \u5ef6\u8fdf 2.3 s<\/td>\n<\/tr>\n<tr>\n<td>INT4 \u91cf\u5316<\/td>\n<td>4 GB \u6743\u91cd + 4 GB KV-Cache<\/td>\n<td>\u6d41\u7545<\/td>\n<td>\u7cbe\u5ea6\u6389 6%\uff0c\u4ee3\u7801\u751f\u6210\u9519\u8bef\u7387 \u2191<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u60f3\u4fdd\u7559\u539f\u59cb\u7cbe\u5ea6 + \u9ad8\u5e76\u53d1\uff1f\u8981\u4e48\u4e0a 48 GB \u7684 RTX A6000\uff0c\u8981\u4e48\u76f4\u63a5<strong>\u79df\u7528GPU\u670d\u52a1\u5668<\/strong>\u3002\u4e0e\u5176\u82b1 3 \u4e07\u5143\u4e70\u5361\uff0c\u4e0d\u5982\u82b1 3 \u5757\u94b1\u5148\u9a8c\u8bc1\u9700\u6c42\u2014\u2014\u8fd9\u6b63\u662f\u661f\u5b87\u667a\u7b97\u8bbe\u8ba1\u4ea7\u54c1\u7684\u5e95\u5c42\u903b\u8f91\u3002<\/p>\n<hr \/>\n<h2>3. \u661f\u5b87\u667a\u7b97\u300cAI\u5e94\u7528\u4e00\u952e\u5373\u73a9\u300d\u5b9e\u6d4b\uff1a\u4ece\u6ce8\u518c\u5230\u51fa token \u4ec5 10 \u5206\u949f<\/h2>\n<ol>\n<li><strong>\u6ce8\u518c<\/strong>\uff1a\u624b\u673a\u53f7 + \u9a8c\u8bc1\u7801\uff0c\u65b0\u7528\u6237\u79d2\u5230 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u53ef\u62b5 1 \u5c0f\u65f6 RTX 4090 \u6574\u673a\u3002  <\/li>\n<li><strong>\u9009\u955c\u50cf<\/strong>\uff1a\u63a7\u5236\u53f0 \u2192 AI\u5e94\u7528 \u2192 \u641c\u7d22 \u201cNemotron-3-8B\u201d\uff0c\u70b9\u51fb\u201c\u4e00\u952e\u90e8\u7f72\u201d\uff0c\u7cfb\u7edf\u81ea\u52a8\u5206\u914d 1\u00d7RTX 4090\uff0824 GB\uff09+ 28 vCPU + 80 GB \u5185\u5b58\uff0c\u9884\u88c5 vLLM 0.4.2\u3001CUDA 12.1\u3001PyTorch 2.2\u3002  <\/li>\n<li><strong>\u542f\u52a8<\/strong>\uff1a\u955c\u50cf\u62c9\u53d6 3 \u5206\u949f\uff0c\u6a21\u578b\u6743\u91cd\u4ece\u661f\u5b87\u516c\u5171\u6a21\u578b\u5e93\u9ad8\u901f\u5185\u7f51\u590d\u5236\uff0c\u5cf0\u503c 2 GByte\/s\uff0c8 B \u53c2\u6570 16 GB \u6587\u4ef6 80 \u79d2\u5b8c\u6210\u3002  <\/li>\n<li><strong>\u63a8\u7406<\/strong>\uff1a\u6d4f\u89c8\u5668\u81ea\u52a8\u5f39\u51fa Gradio \u804a\u5929\u7a97\u53e3\uff0c\u8f93\u5165\u201c\u7528 C++ \u5199\u5feb\u6392\u201d\uff0c\u9996 token 0.8 s\uff0c\u540e\u7eed 45 token\/s\uff0c\u663e\u5b58\u5360\u7528 18 GB\uff0c\u5269\u4f59 6 GB \u53ef\u7559\u7ed9\u5e76\u53d1\u3002  <\/li>\n<\/ol>\n<p>\u5168\u7a0b\u9f20\u6807\u64cd\u4f5c\uff0c\u65e0\u9700\u547d\u4ee4\u884c\uff0c<strong>GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u95e8\u69db\u964d\u5230\u201c\u5237\u77ed\u89c6\u9891\u201d\u7ea7\u522b\u3002\u82e5\u9700\u66f4\u9ad8\u5e76\u53d1\uff0c\u53ef\u5728\u63a7\u5236\u53f0\u79d2\u7ea7\u5347\u914d\u81f3 2\u00d74090 \u6216 A100 40 GB\uff0c\u6570\u636e\u76d8\u901a\u8fc7\u4e91\u786c\u76d8\u8de8\u5b9e\u4f8b\u70ed\u6302\u8f7d\uff0c\u6a21\u578b\u6743\u91cd\u65e0\u9700\u91cd\u590d\u4e0b\u8f7d\u3002<\/p>\n<hr \/>\n<h2>4. GPU\u670d\u52a1\u5668\u79df\u7528\u6210\u672c\u5bf9\u6bd4\uff1a\u6309\u91cf vs \u5305\u6708 vs \u81ea\u5efa<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u65b9\u6848<\/th>\n<th>\u786c\u4ef6\u6210\u672c<\/th>\n<th>\u7535\u8d39\/\u8fd0\u7ef4<\/th>\n<th>\u7075\u6d3b\u6027<\/th>\n<th>3 \u4e2a\u6708\u603b\u6210\u672c\uff08RTX 4090 \u5355\u673a\uff09<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u81ea\u5efa<\/td>\n<td>1.5 \u4e07\u5143\u4e00\u6b21\u6027<\/td>\n<td>0.45 \u5143\/\u5ea6\uff0c7\u00d724 \u8fd0\u884c\u7ea6 600 \u5143\/\u6708 + \u8fd0\u7ef4\u4eba\u529b<\/td>\n<td>0\uff0c\u786c\u4ef6\u6298\u65e7<\/td>\n<td>\u2248 1.7 \u4e07\u5143<\/td>\n<\/tr>\n<tr>\n<td>\u5305\u6708<\/td>\n<td>\u661f\u5b87\u667a\u7b97 1199 \u5143\/\u6708<\/td>\n<td>0<\/td>\n<td>\u968f\u65f6\u5347\u964d\u914d<\/td>\n<td>3597 \u5143<\/td>\n<\/tr>\n<tr>\n<td>\u6309\u91cf<\/td>\n<td>\u661f\u5b87\u667a\u7b97 1.9 \u5143\/\u5361\/\u65f6<\/td>\n<td>0<\/td>\n<td>\u79d2\u7ea7\u5f00\u5173<\/td>\n<td>\u82e5\u6bcf\u5929 4 \u5c0f\u65f6 \u2248 684 \u5143<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u7ed3\u8bba\uff1a<br \/>\n&#8211; \u4e1a\u52a1\u9a8c\u8bc1\u671f\uff0c<strong>\u6309\u91cfGPU\u4e91\u4e3b\u673a<\/strong>\u6700\u5212\u7b97\uff0c\u7528\u5b8c\u5373\u505c\uff0c1 \u5c0f\u65f6\u4e0d\u5230 2 \u5757\u94b1\u3002<br \/>\n&#8211; \u8fdb\u5165\u7a33\u5b9a\u8bad\u7ec3\u6216 7\u00d724 \u63a8\u7406\uff0c\u518d\u5207\u5305\u6708\uff0c\u6210\u672c\u76f4\u964d 40%\u3002<br \/>\n&#8211; \u81ea\u5efa\u53ea\u6709\u5728\u201c\u4e09\u5e74\u957f\u671f\u6ee1\u8d1f\u8f7d\u201d\u573a\u666f\u624d\u4f18\u4e8e\u4e91\u79df\u8d41\uff0c\u4e14\u9700\u627f\u62c5\u663e\u5361\u8fed\u4ee3\u98ce\u9669\u3002<\/p>\n<hr \/>\n<h2>5. \u603b\u7ed3\uff1a\u5982\u4f55\u7528GPU\u4e91\u4e3b\u673a\u4f4e\u6210\u672c\u4f53\u9a8c SOTA \u5927\u6a21\u578b<\/h2>\n<ol>\n<li><strong>\u5148\u8585\u4f53\u9a8c\u91d1<\/strong>\uff1a\u65b0\u7528\u6237\u6ce8\u518c\u661f\u5b87\u667a\u7b97\u7acb\u5f97 10 \u5143\uff0c\u8db3\u591f\u8dd1 1 \u5c0f\u65f6 RTX 4090\uff0c\u5b8c\u6574\u9a8c\u8bc1 Nemotron-3 8B \u7cbe\u5ea6\u4e0e\u5e76\u53d1\u3002  <\/li>\n<li><strong>\u5229\u7528\u516c\u5171\u6a21\u578b\u5e93<\/strong>\uff1a\u5e73\u53f0\u5df2\u5185\u7f6e Nemotron-3-8B\u3001Llama-3-70B\u3001SDXL \u7b49 150+ \u6a21\u578b\uff0c\u5185\u7f51\u62c9\u53d6\u901f\u5ea6 2 GB\/s\uff0c\u514d\u53bb Hugging Face \u7b49\u5f85\u3002  <\/li>\n<li><strong>\u6570\u636e\u6301\u4e45\u5316<\/strong>\uff1a\u628a\u5fae\u8c03\u6570\u636e\u3001\u5bf9\u8bdd\u65e5\u5fd7\u5b58\u5165\u4e91\u786c\u76d8\uff0c\u5173\u673a\u4e0d\u4e22\u5931\uff0c\u4e0b\u6b21\u5f00\u673a 30 \u79d2\u6062\u590d\u73af\u5883\u3002  <\/li>\n<li><strong>\u7075\u6d3b\u8ba1\u4ef7<\/strong>\uff1a\u767d\u5929\u8c03\u8bd5\u7528\u6309\u91cf\uff0c\u591c\u95f4\u8bad\u7ec3\u5207\u6362\u5305\u6708\uff0c\u5355\u5361\u4e0e\u591a\u5361\u4e4b\u95f4\u79d2\u7ea7\u5347\u964d\uff0c\u6210\u672c\u53ef\u63a7\u3002  <\/li>\n<li><strong>\u4e00\u7ad9\u5f0f AI \u5e94\u7528<\/strong>\uff1a\u661f\u5b87\u667a\u7b97\u5c06\u6a21\u578b + \u6846\u67b6 + CUDA \u9a71\u52a8\u5c01\u88c5\u6210\u300cAI\u5e94\u7528\u300d\uff0c\u4ee5\u540e\u4e0d\u7ba1 SOTA \u6a21\u578b\u5982\u4f55\u66f4\u65b0\uff0c\u7528\u6237\u53ea\u9700\u201c\u70b9\u51fb-\u542f\u52a8-\u804a\u5929\u201d\u4e09\u6b65\uff0c<strong>GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u771f\u6b63\u53d8\u6210\u201c\u6253\u5f00\u6d4f\u89c8\u5668\u5c31\u80fd\u73a9\u201d\u7684\u4e91\u6e38\u620f\u3002<\/li>\n<\/ol>\n<p>Nemotron-3 8B \u7684\u201c\u5c0f\u94a2\u70ae\u201d\u5a01\u529b\u5df2\u7ecf\u9a8c\u8bc1\uff0c\u672c\u5730 24 GB \u663e\u5b58\u4e0d\u518d\u662f\u95e8\u69db\u3002\u73b0\u5728\u5c31\u6253\u5f00 <a href=\"https:\/\/www.starverse-ai.com\">\u661f\u5b87\u667a\u7b97<\/a>\uff0c\u6ce8\u518c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c10 \u5206\u949f\u540e\u4f60\u5c31\u80fd\u5728\u6d4f\u89c8\u5668\u91cc\u4e0e 8B \u53c2\u6570\u7684\u201c\u9ad8\u667a\u5546\u52a9\u624b\u201d\u5bf9\u8bdd\u2014\u2014<strong>GPU\u4e91\u4e3b\u673a<\/strong>\u7684\u95e8\u69db\uff0c\u4ece\u672a\u5982\u6b64\u4e4b\u4f4e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u80cc\u666f\u8d44\u8baf\uff1a5 \u6708 22 \u65e5\uff0cNVIDIA \u4f4e\u8c03\u5f00\u6e90 Nemo&hellip;<\/p>\n","protected":false},"author":2,"featured_media":3122,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3123","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":81,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3123","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=3123"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3123\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/3122"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=3123"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=3123"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=3123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}