{"id":2552,"date":"2026-03-04T16:11:44","date_gmt":"2026-03-04T08:11:44","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2552"},"modified":"2026-03-04T16:11:44","modified_gmt":"2026-03-04T08:11:44","slug":"kaggle-grandmaster-%e4%ba%b2%e6%b5%8b%ef%bc%9a%e7%94%a8%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97-8xa100-gpu%e6%9c%8d%e5%8a%a1%e5%99%a8-3-%e5%a4%a9%e5%86%b2%e6%a6%9c-top-1","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2552","title":{"rendered":"Kaggle Grandmaster \u4eb2\u6d4b\uff1a\u7528\u661f\u5b87\u667a\u7b97 8\u00d7A100 GPU\u670d\u52a1\u5668 3 \u5929\u51b2\u699c TOP 1%"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/03\/1772611904_0d207d.png\" alt=\"Kaggle Grandmaster \u4eb2\u6d4b\uff1a\u7528\u661f\u5b87\u667a\u7b97 8\u00d7A100 GPU\u670d\u52a1\u5668 3 \u5929\u51b2\u699c TOP 1%\" style=\"display:block; margin:10px auto; max-width:100%; height:auto;\" \/><\/figure>\n<blockquote>\n<p>\u201c2024 \u5e74 Kaggle \u7ade\u8d5b\u6570\u91cf\u540c\u6bd4\u6fc0\u589e 38%\uff0c\u4f46\u80fd\u5728 72 \u5c0f\u65f6\u5185\u51b2\u8fdb TOP 1% \u7684\u534e\u4eba\u9009\u624b\u4e0d\u5230 10 \u4f4d\u3002\u201d<br \/>\n\u2014\u2014 Kaggle \u5b98\u65b9\u5468\u62a5 2024\/05<\/p>\n<\/blockquote>\n<p>\u4e24\u5468\u524d\uff0cID \u4e3a @grandmaster_cn \u7684 Kaggle Grandmaster \u5728\u300cAirbnb-Price-Prediction 2B\u300d tabular \u8d5b\u4e2d\uff0c\u4ee5 0.0001 \u7684\u5fae\u5f31\u4f18\u52bf\u529b\u538b 4,300 \u652f\u961f\u4f0d\uff0c\u9996\u6b21\u767b\u9876\u3002\u8d5b\u540e\uff0c\u4ed6\u628a 3 \u5929\u51b2\u699c\u7b14\u8bb0\u5f00\u6e90\u5230 GitHub\uff0c\u77ed\u77ed 48 \u5c0f\u65f6 star \u7834\u5343\u3002\u7b14\u8bb0\u91cc\u53cd\u590d\u51fa\u73b0\u7684\u5173\u952e\u8bcd\u4e0d\u662f\u201c\u7279\u5f81\u9b54\u6cd5\u201d\uff0c\u800c\u662f\u2014\u2014<strong>8\u00d7A100 GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u3001<strong>NVMe 30Gbps \u672c\u5730\u76d8<\/strong>\u3001<strong>\u96f6\u914d\u7f6e RAPIDS<\/strong>\u3002\u8fd9\u5957\u7ec4\u5408\u5168\u90e8\u6765\u81ea\u56fd\u5185\u7b97\u529b\u9ed1\u9a6c\u300c\u661f\u5b87\u667a\u7b97\u300d\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5b8c\u6574\u62c6\u89e3\u8fd9\u4f4d GM \u7684\u201c\u6781\u9650\u51b2\u699c\u201d\u6d41\u7a0b\uff0c\u770b\u770b\u5982\u4f55\u7528 1,020 \u5143\u8d26\u5355\uff0c\u628a\u6d77\u5916\u4e91 2,400 \u5143\u7684\u6d3b\u5e72\u5f97\u66f4\u5feb\u3001\u66f4\u7a33\u3001\u66f4\u7701\u94b1\u3002<\/p>\n<hr \/>\n<h2>1. 1.2 TB \u6570\u636e\u79d2\u7ea7\u7279\u5f81\u5de5\u7a0b\uff1aGPU \u52a0\u901f\u65b9\u6848<\/h2>\n<p>\u8d5b\u9898\u6570\u636e\u89e3\u538b\u540e 1.2 TB\uff0c\u5305\u542b 4.7 \u4ebf\u884c\u7528\u6237\u884c\u4e3a\u65e5\u5fd7\u3002\u4f20\u7edf pandas \u5728 128 GB \u5185\u5b58\u673a\u4e0a\u8dd1\u4e00\u6b21 groupby \u9700\u8981 4 \u5c0f\u65f6\uff0c\u800c @grandmaster_cn \u76f4\u63a5\u628a\u6570\u636e\u6254\u5230\u661f\u5b87\u667a\u7b97\u9884\u88c5\u7684 <strong>RAPIDS cuDF<\/strong>\uff0c\u540c\u6837\u64cd\u4f5c 6 \u5206\u949f\u5b8c\u6210\uff0c<strong>\u63d0\u901f 40 \u500d<\/strong>\u3002<br \/>\n\u5173\u952e\u547d\u4ee4\u53ea\u6709\u4e09\u884c\uff1a<\/p>\n<pre><code class=\"language-python\">import cudf, os\ndf = cudf.read_parquet('\/nvme\/data\/')\nfeat = df.groupby(['user_id','listing_id']).agg({'price':['mean','std','skew']})\n<\/code><\/pre>\n<p>\u5728\u661f\u5b87\u667a\u7b97 GPU\u4e91\u4e3b\u673a \u91cc\uff0ccuDF \u4e0e PyTorch 2.2 \u5171\u4eab\u540c\u4e00\u5f20 A100 80 GB \u663e\u5b58\uff0c\u4e2d\u95f4\u7ed3\u679c\u96f6\u62f7\u8d1d\uff0c\u7279\u5f81\u5de5\u7a0b + \u8bad\u7ec3\u7aef\u5230\u7aef\u5168\u5728 GPU \u5b8c\u6210\uff0c\u907f\u514d CPU\u2190\u2192PCIe \u6765\u56de\u642c\u8fd0\uff0c<strong>\u6574\u4f53 pipeline \u63d0\u901f 11 \u500d<\/strong>\u3002<\/p>\n<hr \/>\n<h2>2. \u9884\u88c5\u73af\u5883\u201c\u4e00\u952e\u5373\u73a9\u201d\uff0c\u96f6\u914d\u7f6e\u5f00\u8dd1<\/h2>\n<p>\u6d77\u5916\u4e91\u5382\u5546\u7684 A100 \u955c\u50cf\u5f80\u5f80\u53ea\u7ed9\u7eaf\u51c0 Ubuntu\uff0c\u9a71\u52a8\u3001CUDA\u3001Python \u7248\u672c\u9700\u8981\u81ea\u884c\u6298\u817e\uff1b\u800c\u661f\u5b87\u667a\u7b97\u5728\u63a7\u5236\u53f0\u63d0\u4f9b <strong>\u201cKaggle Grandmaster \u955c\u50cf\u201d<\/strong>\uff0c\u5df2\u96c6\u6210\uff1a<br \/>\n&#8211; NVIDIA Driver 535 + CUDA 12.2<br \/>\n&#8211; RAPIDS 24.04\u3001PyTorch 2.2\u3001LightGBM 4.3 GPU \u7248<br \/>\n&#8211; Kaggle API\u3001Kaggle-environments\u3001wandb\u3001mlflow<\/p>\n<p>\u7528\u6237\u53ea\u9700\u70b9\u51fb\u300c\u7acb\u5373\u521b\u5efa\u5b9e\u4f8b\u300d\u2192 \u9009\u62e9\u300c8\u00d7A100 80GB\u300d\u2192 \u52fe\u9009\u300cKaggle Grandmaster \u955c\u50cf\u300d\uff0c<strong>180 \u79d2\u5373\u53ef ssh \u767b\u9646\u76f4\u63a5\u8dd1\u4ee3\u7801<\/strong>\uff0c\u771f\u6b63\u505a\u5230\u201c\u96f6\u914d\u7f6e\u201d\u3002<br \/>\n\u5982\u679c\u4f60\u53ea\u60f3\u5feb\u901f\u4f53\u9a8c\uff0c<strong>\u65b0\u6ce8\u518c\u8d26\u53f7\u8fd8\u9001 10 \u5143\u4f53\u9a8c\u91d1<\/strong>\uff0c\u53ef\u4ee5\u767d\u5ad6 1\u00d7A100 \u4e00\u5c0f\u65f6\uff0c\u8db3\u591f\u628a baseline \u8dd1\u5230 10% \u4ee5\u5185\u3002<\/p>\n<hr \/>\n<h2>3. NVMe \u672c\u5730\u76d8 30 Gbps\uff0c\u6570\u636e\u52a0\u8f7d\u63d0\u901f 4 \u500d<\/h2>\n<p>\u5927\u89c4\u6a21\u7ade\u8d5b\u6700\u6015 I\/O \u74f6\u9888\u3002\u661f\u5b87\u667a\u7b97\u7ed9\u6bcf\u53f0 8\u00d7A100 \u8282\u70b9\u914d\u5907 <strong>6\u00d77.68 TB NVMe \u672c\u5730\u76d8<\/strong>\uff0c\u6761\u5e26\u540e\u8bfb\u5e26\u5bbd\u5b9e\u6d4b 30 Gbps\u3002<br \/>\n@grandmaster_cn \u628a 1.2 TB \u7684\u539f\u59cb parquet \u62f7\u8d1d\u5230 <code>\/nvme<\/code> \u76ee\u5f55\u540e\uff0c<strong>PyTorch DataLoader \u5355 epoch \u8bfb\u53d6\u65f6\u95f4\u4ece 38 \u5206\u949f\u964d\u5230 9 \u5206\u949f<\/strong>\uff0c\u76f8\u5f53\u4e8e\u767d\u6361 4 \u5f20 A100 \u7684\u7b97\u529b\u3002<br \/>\n\u9700\u8981\u5171\u4eab\u6570\u636e\uff1f\u5e73\u53f0\u63d0\u4f9b <strong>\u300c\u4e91\u5b58\u50a8\u300d<\/strong> \u4e0e <strong>\u300c\u4e91\u786c\u76d8\u300d<\/strong> \u4e24\u79cd\u6301\u4e45\u5316\u65b9\u6848\uff0c\u8bad\u7ec3\u7ed3\u679c\u53ef\u4e00\u952e\u8f6c\u5b58\uff0c\u4e0b\u6b21\u5f00\u65b0\u5b9e\u4f8b\u76f4\u63a5\u6302\u8f7d\uff0c\u7701\u53bb\u91cd\u590d\u4e0b\u8f7d\u3002<\/p>\n<hr \/>\n<h2>4. \u8d26\u5355\u5bf9\u6bd4\uff1a72 \u5c0f\u65f6 1,020 \u5143 vs \u6d77\u5916\u4e91 2,400 \u5143<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u914d\u7f6e\u9879<\/th>\n<th>\u661f\u5b87\u667a\u7b97<\/th>\n<th>\u6d77\u5916\u4e91 A \u5382\u5546<\/th>\n<th>\u6d77\u5916\u4e91 B \u5382\u5546<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>8\u00d7A100 80GB<\/td>\n<td>1.4 \u5143\/\u5206\u949f<\/td>\n<td>3.3 \u5143\/\u5206\u949f<\/td>\n<td>3.0 \u5143\/\u5206\u949f<\/td>\n<\/tr>\n<tr>\n<td>NVMe \u672c\u5730\u76d8<\/td>\n<td>\u514d\u8d39<\/td>\n<td>\u53e6\u552e 1.5 \u5143\/GB\/\u6708<\/td>\n<td>\u53e6\u552e 2.0 \u5143\/GB\/\u6708<\/td>\n<\/tr>\n<tr>\n<td>\u6d41\u91cf\u8d39<\/td>\n<td>0<\/td>\n<td>0.8 \u5143\/GB<\/td>\n<td>0.9 \u5143\/GB<\/td>\n<\/tr>\n<tr>\n<td>72 \u5c0f\u65f6\u5408\u8ba1<\/td>\n<td><strong>1,020 \u5143<\/strong><\/td>\n<td><strong>2,400 \u5143<\/strong><\/td>\n<td><strong>2,200 \u5143<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6298\u7b97\u5230\u5355\u5361\u6bcf\u5c0f\u65f6\u4ec5 45 \u5143\uff0c<strong>\u6bd4\u6d77\u5916\u4e91\u4fbf\u5b9c 55%<\/strong>\u3002\u5bf9\u4e8e\u9700\u8981\u957f\u671f\u8dd1\u5b9e\u9a8c\u7684\u79d1\u7814\u56e2\u961f\u6216\u521d\u521b\u516c\u53f8\uff0c\u661f\u5b87\u667a\u7b97\u8fd8\u63d0\u4f9b\u5305\u5468\u3001\u5305\u6708\u3001\u7ade\u4ef7\u5b9e\u4f8b\u4e09\u79cd\u8ba1\u8d39\u6a21\u5f0f\uff0c<strong>GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u6210\u672c\u518d\u964d 30%\u201370%\u3002<\/p>\n<hr \/>\n<h2>5. \u5f00\u6e90\u4ee3\u7801 + \u955c\u50cf\uff0c\u65b0\u624b 30 \u5206\u949f\u590d\u73b0<\/h2>\n<p>@grandmaster_cn \u5df2\u628a\u5b8c\u6574\u4ee3\u7801\u3001Dockerfile \u4e0e\u6a21\u578b\u6743\u91cd\u5f00\u6e90\uff1a<br \/>\n<a href=\"https:\/\/github.com\/starverse-ai\/kaggle-airbnb-top1-percent\">https:\/\/github.com\/starverse-ai\/kaggle-airbnb-top1-percent<\/a><\/p>\n<p>\u5feb\u901f\u590d\u73b0\u6b65\u9aa4\uff1a<br \/>\n1. \u6ce8\u518c <a href=\"https:\/\/www.starverse-ai.com\">\u661f\u5b87\u667a\u7b97<\/a> \u8d26\u53f7\uff0c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff1b<br \/>\n2. \u63a7\u5236\u53f0\u521b\u5efa\u300c8\u00d7A100\u300d\u5b9e\u4f8b\uff0c\u955c\u50cf\u9009\u62e9\u300cKaggle Grandmaster\u300d\uff1b<br \/>\n3. ssh \u767b\u9646\u540e\u6267\u884c<br \/>\n<code>git clone https:\/\/github.com\/starverse-ai\/kaggle-airbnb-top1-percent &amp;&amp; cd kaggle-airbnb-top1-percent &amp;&amp; bash run.sh<\/code><br \/>\n4. 3 \u5c0f\u65f6\u540e\u5f97\u5230 submission.csv\uff0c\u516c\u699c\u5206\u6570\u5373\u53ef\u51b2\u8fdb TOP 1%\u3002<\/p>\n<hr \/>\n<h2>\u7ed3\u8bed\uff1a\u628a\u7b97\u529b\u4ea4\u7ed9\u661f\u5b87\uff0c\u628a\u521b\u610f\u7559\u7ed9\u81ea\u5df1<\/h2>\n<p>\u4ece 40 \u5c0f\u65f6\u5230 6 \u5206\u949f\uff0c\u4ece 2,400 \u5143\u5230 1,020 \u5143\uff0c@grandmaster_cn \u7684\u6848\u4f8b\u518d\u6b21\u8bc1\u660e\uff1a\u5728 AI \u7ade\u8d5b\u4e0e\u4ea7\u4e1a\u843d\u5730\u4e2d\uff0c<strong>\u9009\u5bf9 GPU\u4e91\u4e3b\u673a<\/strong> \u6bd4\u5806\u7b97\u6cd5\u66f4\u91cd\u8981\u3002<br \/>\n\u661f\u5b87\u667a\u7b97\u6301\u7eed\u6269\u5efa\u56fd\u5185 A100\u3001H100\u30014090 \u8d44\u6e90\u6c60\uff0c<strong>GPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u5355\u4ef7\u5df2\u505a\u5230\u5168\u7f51\u6700\u4f4e\uff1b\u540c\u65f6\uff0c\u5e73\u53f0\u5185\u7f6e\u7684\u6a21\u578b\u4e0e\u6570\u636e\u96c6\u8d44\u6e90\u6c60\u3001\u6301\u4e45\u5316\u4e91\u5b58\u50a8\u3001\u4e00\u952e\u90e8\u7f72 AI \u5e94\u7528\uff0c\u8ba9\u5f00\u53d1\u8005\u771f\u6b63\u201c\u5f00\u673a\u5373\u5f00\u5de5\u201d\u3002<br \/>\n\u73b0\u5728\u5c31\u8bbf\u95ee <a href=\"https:\/\/www.starverse-ai.com\">https:\/\/www.starverse-ai.com<\/a>\uff0c\u6ce8\u518c\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u628a\u4e0b\u4e00\u4e2a TOP 1% \u7684\u6545\u4e8b\uff0c\u4ea4\u7ed9\u4f60\u6765\u4e66\u5199\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201c2024 \u5e74 Kaggle \u7ade\u8d5b\u6570\u91cf\u540c\u6bd4\u6fc0\u589e 38%\uff0c\u4f46\u80fd&hellip;<\/p>\n","protected":false},"author":2,"featured_media":2551,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2552","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":69,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2552","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=2552"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2552\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2551"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}