{"componentChunkName":"component---src-templates-acg-portal-new-template-tsx","path":"/Umsycklgk","result":{"data":{"markdownRemark":{"html":"<h3 id=\"描述\"><a href=\"#%E6%8F%8F%E8%BF%B0\" aria-label=\"描述 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>描述</h3>\n<p>获取一个队列的详细信息.</p>\n<h3 id=\"请求结构\"><a href=\"#%E8%AF%B7%E6%B1%82%E7%BB%93%E6%9E%84\" aria-label=\"请求结构 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>请求结构</h3>\n\n    <div class=\"code-block-wrapper\">\n        <div class=\"code-block\">\n            <div class=\"code-block-header\">\n                <span class=\"code-block-name\">Plain Text</span>\n                <button class=\"code-copy-btn\" data-tooltip-text=\"\">\n                    <svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" fill=\"none\"> <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M5.57894 3.45614C5.57894 3.38832 5.63392 3.33333 5.70175 3.33333H12.5439C12.6117 3.33333 12.6667 3.38832 12.6667 3.45614V10.2982C12.6667 10.3661 12.6117 10.4211 12.5439 10.4211H11.7544V5.70175C11.7544 4.89754 11.1025 4.24561 10.2982 4.24561H5.57894V3.45614ZM4.24561 4.24561V3.45614C4.24561 2.65194 4.89754 2 5.70175 2H12.5439C13.3481 2 14 2.65194 14 3.45614V10.2982C14 11.1025 13.3481 11.7544 12.5439 11.7544H11.7544V12.5439C11.7544 13.3481 11.1025 14 10.2982 14H3.45614C2.65194 14 2 13.3481 2 12.5439V5.70175C2 4.89754 2.65194 4.24561 3.45614 4.24561H4.24561ZM3.33333 5.70175C3.33333 5.63392 3.38832 5.57894 3.45614 5.57894H10.2982C10.3661 5.57894 10.4211 5.63392 10.4211 5.70175V12.5439C10.4211 12.6117 10.3661 12.6667 10.2982 12.6667H3.45614C3.38832 12.6667 3.33333 12.6117 3.33333 12.5439V5.70175Z\" fill=\"currentColor\"></path> </svg>\n                    复制\n                </button>\n            </div>\n            <div class=\"code-block-content\">\n                <pre class=\"language-text\"><code><span class=\"line-number\">1</span>GET ?action=DescribeQueue&amp;queueId=xxxx\n<span class=\"line-number\">2</span>Host:aihc.bj.baidubce.com\n<span class=\"line-number\">3</span>Authorization:authorization string\n<span class=\"line-number\">4</span>ContentType: application/json\n<span class=\"line-number\">5</span>version: v2   </code></pre>\n            </div>\n        </div>\n    </div>\n  \n<h3 id=\"请求头域\"><a href=\"#%E8%AF%B7%E6%B1%82%E5%A4%B4%E5%9F%9F\" aria-label=\"请求头域 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>请求头域</h3>\n<p>除公共头域外，无其它特殊头域。</p>\n<h3 id=\"请求参数\"><a href=\"#%E8%AF%B7%E6%B1%82%E5%8F%82%E6%95%B0\" aria-label=\"请求参数 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>请求参数</h3>\n<table>\n<thead>\n<tr>\n<th>参数名称</th>\n<th>类型</th>\n<th>是否必须</th>\n<th>参数位置</th>\n<th>说明</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>queueId</td>\n<td>String</td>\n<td>是</td>\n<td>Query 参数</td>\n<td>标识队列的唯一标识符</td>\n</tr>\n</tbody>\n</table>\n<h3 id=\"返回头域\"><a href=\"#%E8%BF%94%E5%9B%9E%E5%A4%B4%E5%9F%9F\" aria-label=\"返回头域 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>返回头域</h3>\n<p>除公共头域，无其它特殊头域。</p>\n<h3 id=\"返回参数\"><a href=\"#%E8%BF%94%E5%9B%9E%E5%8F%82%E6%95%B0\" aria-label=\"返回参数 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>返回参数</h3>\n<table>\n<thead>\n<tr>\n<th>参数名称</th>\n<th>类型</th>\n<th>说明</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>queue</td>\n<td><a href=\"/doc/AIHC/s/Imb0gupts#queueitem\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">QueueItem</a></td>\n<td>队列详细信息</td>\n</tr>\n</tbody>\n</table>\n<h3 id=\"返回示例\"><a href=\"#%E8%BF%94%E5%9B%9E%E7%A4%BA%E4%BE%8B\" aria-label=\"返回示例 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>返回示例</h3>\n\n    <div class=\"code-block-wrapper\">\n        <div class=\"code-block\">\n            <div class=\"code-block-header\">\n                <span class=\"code-block-name\">Plain Text</span>\n                <button class=\"code-copy-btn\" data-tooltip-text=\"\">\n                    <svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" fill=\"none\"> <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M5.57894 3.45614C5.57894 3.38832 5.63392 3.33333 5.70175 3.33333H12.5439C12.6117 3.33333 12.6667 3.38832 12.6667 3.45614V10.2982C12.6667 10.3661 12.6117 10.4211 12.5439 10.4211H11.7544V5.70175C11.7544 4.89754 11.1025 4.24561 10.2982 4.24561H5.57894V3.45614ZM4.24561 4.24561V3.45614C4.24561 2.65194 4.89754 2 5.70175 2H12.5439C13.3481 2 14 2.65194 14 3.45614V10.2982C14 11.1025 13.3481 11.7544 12.5439 11.7544H11.7544V12.5439C11.7544 13.3481 11.1025 14 10.2982 14H3.45614C2.65194 14 2 13.3481 2 12.5439V5.70175C2 4.89754 2.65194 4.24561 3.45614 4.24561H4.24561ZM3.33333 5.70175C3.33333 5.63392 3.38832 5.57894 3.45614 5.57894H10.2982C10.3661 5.57894 10.4211 5.63392 10.4211 5.70175V12.5439C10.4211 12.6117 10.3661 12.6667 10.2982 12.6667H3.45614C3.38832 12.6667 3.33333 12.6117 3.33333 12.5439V5.70175Z\" fill=\"currentColor\"></path> </svg>\n                    复制\n                </button>\n            </div>\n            <div class=\"code-block-content\">\n                <pre class=\"language-text\"><code><span class=\"line-number\">1</span>{\n<span class=\"line-number\">2</span>    &quot;queueId&quot;: &quot;queue-h4rzqodsqgfv&quot;,\n<span class=\"line-number\">3</span>    &quot;queueName&quot;: &quot;feold-backnew-gpu-phy-l1&quot;,\n<span class=\"line-number\">4</span>    &quot;queueType&quot;: &quot;Physical&quot;,\n<span class=\"line-number\">5</span>    &quot;resourcePoolId&quot;: &quot;cce-so2uum7z&quot;,\n<span class=\"line-number\">6</span>    &quot;createdAt&quot;: &quot;2025-09-09T15:46:18+08:00&quot;,\n<span class=\"line-number\">7</span>    &quot;updatedAt&quot;: &quot;2025-09-09T19:42:57+08:00&quot;,\n<span class=\"line-number\">8</span>    &quot;parentQueue&quot;: &quot;63a9f0ea7bb98050796b649e85481845&quot;,\n<span class=\"line-number\">9</span>    &quot;children&quot;: [\n<span class=\"line-number\">10</span>        {\n<span class=\"line-number\">11</span>            &quot;queueId&quot;: &quot;queue-9zyv0dcqw5jh&quot;,\n<span class=\"line-number\">12</span>            &quot;queueName&quot;: &quot;old-gpu-l2q-3&quot;,\n<span class=\"line-number\">13</span>            &quot;queueType&quot;: &quot;Regular&quot;,\n<span class=\"line-number\">14</span>            &quot;resourcePoolId&quot;: &quot;cce-so2uum7z&quot;,\n<span class=\"line-number\">15</span>            &quot;createdAt&quot;: &quot;2025-09-09T15:49:39+08:00&quot;,\n<span class=\"line-number\">16</span>            &quot;updatedAt&quot;: &quot;2025-09-09T19:42:57+08:00&quot;,\n<span class=\"line-number\">17</span>            &quot;parentQueue&quot;: &quot;feold-backnew-gpu-phy-l1&quot;,\n<span class=\"line-number\">18</span>            &quot;opened&quot;: true,\n<span class=\"line-number\">19</span>            &quot;reclaimable&quot;: false,\n<span class=\"line-number\">20</span>            &quot;disableOversell&quot;: false,\n<span class=\"line-number\">21</span>            &quot;queueingStrategy&quot;: &quot;BestEffortFIFO&quot;,\n<span class=\"line-number\">22</span>            &quot;enableVGPU&quot;: true,\n<span class=\"line-number\">23</span>            &quot;capability&quot;: {\n<span class=\"line-number\">24</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">25</span>                    {\n<span class=\"line-number\">26</span>                        &quot;acceleratorCount&quot;: &quot;0.5&quot;,\n<span class=\"line-number\">27</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">28</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">29</span>                    }\n<span class=\"line-number\">30</span>                ]\n<span class=\"line-number\">31</span>            },\n<span class=\"line-number\">32</span>            &quot;deserved&quot;: {\n<span class=\"line-number\">33</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">34</span>                    {\n<span class=\"line-number\">35</span>                        &quot;acceleratorCount&quot;: &quot;0.5&quot;,\n<span class=\"line-number\">36</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">37</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">38</span>                    }\n<span class=\"line-number\">39</span>                ]\n<span class=\"line-number\">40</span>            },\n<span class=\"line-number\">41</span>            &quot;allocated&quot;: {\n<span class=\"line-number\">42</span>                &quot;milliCPUcores&quot;: &quot;0&quot;,\n<span class=\"line-number\">43</span>                &quot;cpuCores&quot;: &quot;0&quot;,\n<span class=\"line-number\">44</span>                &quot;memoryGi&quot;: &quot;0&quot;,\n<span class=\"line-number\">45</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">46</span>                    {\n<span class=\"line-number\">47</span>                        &quot;acceleratorCount&quot;: &quot;0.5&quot;,\n<span class=\"line-number\">48</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">49</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">50</span>                    }\n<span class=\"line-number\">51</span>                ]\n<span class=\"line-number\">52</span>            },\n<span class=\"line-number\">53</span>            &quot;runningJobs&quot;: 1\n<span class=\"line-number\">54</span>        },\n<span class=\"line-number\">55</span>        {\n<span class=\"line-number\">56</span>            &quot;queueId&quot;: &quot;queue-rp92t5b8izfy&quot;,\n<span class=\"line-number\">57</span>            &quot;queueName&quot;: &quot;old-gpu-l2q-2&quot;,\n<span class=\"line-number\">58</span>            &quot;queueType&quot;: &quot;Regular&quot;,\n<span class=\"line-number\">59</span>            &quot;resourcePoolId&quot;: &quot;cce-so2uum7z&quot;,\n<span class=\"line-number\">60</span>            &quot;createdAt&quot;: &quot;2025-09-09T15:48:14+08:00&quot;,\n<span class=\"line-number\">61</span>            &quot;updatedAt&quot;: &quot;2025-09-09T19:42:57+08:00&quot;,\n<span class=\"line-number\">62</span>            &quot;parentQueue&quot;: &quot;feold-backnew-gpu-phy-l1&quot;,\n<span class=\"line-number\">63</span>            &quot;opened&quot;: true,\n<span class=\"line-number\">64</span>            &quot;reclaimable&quot;: false,\n<span class=\"line-number\">65</span>            &quot;disableOversell&quot;: false,\n<span class=\"line-number\">66</span>            &quot;queueingStrategy&quot;: &quot;BestEffortFIFO&quot;,\n<span class=\"line-number\">67</span>            &quot;enableVGPU&quot;: true,\n<span class=\"line-number\">68</span>            &quot;capability&quot;: {\n<span class=\"line-number\">69</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">70</span>                    {\n<span class=\"line-number\">71</span>                        &quot;acceleratorCount&quot;: &quot;2.5&quot;,\n<span class=\"line-number\">72</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">73</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">74</span>                    }\n<span class=\"line-number\">75</span>                ]\n<span class=\"line-number\">76</span>            },\n<span class=\"line-number\">77</span>            &quot;deserved&quot;: {\n<span class=\"line-number\">78</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">79</span>                    {\n<span class=\"line-number\">80</span>                        &quot;acceleratorCount&quot;: &quot;2.5&quot;,\n<span class=\"line-number\">81</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">82</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">83</span>                    }\n<span class=\"line-number\">84</span>                ]\n<span class=\"line-number\">85</span>            },\n<span class=\"line-number\">86</span>            &quot;allocated&quot;: {\n<span class=\"line-number\">87</span>                &quot;milliCPUcores&quot;: &quot;0&quot;,\n<span class=\"line-number\">88</span>                &quot;cpuCores&quot;: &quot;0&quot;,\n<span class=\"line-number\">89</span>                &quot;memoryGi&quot;: &quot;0&quot;,\n<span class=\"line-number\">90</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">91</span>                    {\n<span class=\"line-number\">92</span>                        &quot;acceleratorCount&quot;: &quot;2.5&quot;,\n<span class=\"line-number\">93</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">94</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">95</span>                    }\n<span class=\"line-number\">96</span>                ]\n<span class=\"line-number\">97</span>            },\n<span class=\"line-number\">98</span>            &quot;runningJobs&quot;: 2\n<span class=\"line-number\">99</span>        },\n<span class=\"line-number\">100</span>        {\n<span class=\"line-number\">101</span>            &quot;queueId&quot;: &quot;queue-t1n9trr0nd3n&quot;,\n<span class=\"line-number\">102</span>            &quot;queueName&quot;: &quot;old-gpu-l2q&quot;,\n<span class=\"line-number\">103</span>            &quot;queueType&quot;: &quot;Regular&quot;,\n<span class=\"line-number\">104</span>            &quot;resourcePoolId&quot;: &quot;cce-so2uum7z&quot;,\n<span class=\"line-number\">105</span>            &quot;createdAt&quot;: &quot;2025-09-09T15:47:28+08:00&quot;,\n<span class=\"line-number\">106</span>            &quot;updatedAt&quot;: &quot;2025-09-09T19:42:57+08:00&quot;,\n<span class=\"line-number\">107</span>            &quot;parentQueue&quot;: &quot;feold-backnew-gpu-phy-l1&quot;,\n<span class=\"line-number\">108</span>            &quot;opened&quot;: true,\n<span class=\"line-number\">109</span>            &quot;reclaimable&quot;: false,\n<span class=\"line-number\">110</span>            &quot;disableOversell&quot;: false,\n<span class=\"line-number\">111</span>            &quot;queueingStrategy&quot;: &quot;BestEffortFIFO&quot;,\n<span class=\"line-number\">112</span>            &quot;enableVGPU&quot;: true,\n<span class=\"line-number\">113</span>            &quot;capability&quot;: {\n<span class=\"line-number\">114</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">115</span>                    {\n<span class=\"line-number\">116</span>                        &quot;acceleratorCount&quot;: &quot;1&quot;,\n<span class=\"line-number\">117</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">118</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">119</span>                    }\n<span class=\"line-number\">120</span>          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class=\"line-number\">133</span>                &quot;cpuCores&quot;: &quot;0&quot;,\n<span class=\"line-number\">134</span>                &quot;memoryGi&quot;: &quot;0&quot;,\n<span class=\"line-number\">135</span>                &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">136</span>                    {\n<span class=\"line-number\">137</span>                        &quot;acceleratorCount&quot;: &quot;0.8&quot;,\n<span class=\"line-number\">138</span>                        &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">139</span>                        &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">140</span>                    }\n<span class=\"line-number\">141</span>                ]\n<span class=\"line-number\">142</span>            },\n<span class=\"line-number\">143</span>            &quot;runningJobs&quot;: 1\n<span class=\"line-number\">144</span>        }\n<span class=\"line-number\">145</span>    ],\n<span class=\"line-number\">146</span>    &quot;opened&quot;: true,\n<span class=\"line-number\">147</span>    &quot;reclaimable&quot;: false,\n<span class=\"line-number\">148</span>    &quot;disableOversell&quot;: false,\n<span class=\"line-number\">149</span>    &quot;queueingStrategy&quot;: &quot;StrictFIFO&quot;,\n<span class=\"line-number\">150</span>    &quot;enableVGPU&quot;: true,\n<span class=\"line-number\">151</span>    &quot;capability&quot;: {\n<span class=\"line-number\">152</span>        &quot;milliCPUcores&quot;: &quot;292000&quot;,\n<span class=\"line-number\">153</span>        &quot;cpuCores&quot;: &quot;292&quot;,\n<span class=\"line-number\">154</span>        &quot;memoryGi&quot;: &quot;3608148426752&quot;,\n<span class=\"line-number\">155</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">156</span>            {\n<span class=\"line-number\">157</span>                &quot;acceleratorCount&quot;: &quot;4&quot;,\n<span class=\"line-number\">158</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">159</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">160</span>            }\n<span class=\"line-number\">161</span>        ]\n<span class=\"line-number\">162</span>    },\n<span class=\"line-number\">163</span>    &quot;deserved&quot;: {\n<span class=\"line-number\">164</span>        &quot;milliCPUcores&quot;: &quot;292000&quot;,\n<span class=\"line-number\">165</span>        &quot;cpuCores&quot;: &quot;292&quot;,\n<span class=\"line-number\">166</span>        &quot;memoryGi&quot;: &quot;3361&quot;,\n<span class=\"line-number\">167</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">168</span>            {\n<span class=\"line-number\">169</span>                &quot;acceleratorCount&quot;: &quot;4&quot;,\n<span class=\"line-number\">170</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">171</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">172</span>            }\n<span class=\"line-number\">173</span>        ]\n<span class=\"line-number\">174</span>    },\n<span class=\"line-number\">175</span>    &quot;guarantee&quot;: {\n<span class=\"line-number\">176</span>        &quot;milliCPUcores&quot;: &quot;292000&quot;,\n<span class=\"line-number\">177</span>        &quot;cpuCores&quot;: &quot;292&quot;,\n<span class=\"line-number\">178</span>        &quot;memoryGi&quot;: &quot;3361&quot;,\n<span class=\"line-number\">179</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">180</span>            {\n<span class=\"line-number\">181</span>                &quot;acceleratorCount&quot;: &quot;4&quot;,\n<span class=\"line-number\">182</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">183</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">184</span>            }\n<span class=\"line-number\">185</span>        ]\n<span class=\"line-number\">186</span>    },\n<span class=\"line-number\">187</span>    &quot;allocated&quot;: {\n<span class=\"line-number\">188</span>        &quot;milliCPUcores&quot;: &quot;0&quot;,\n<span class=\"line-number\">189</span>        &quot;cpuCores&quot;: &quot;0&quot;,\n<span class=\"line-number\">190</span>        &quot;memoryGi&quot;: &quot;0&quot;,\n<span class=\"line-number\">191</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">192</span>            {\n<span class=\"line-number\">193</span>                &quot;acceleratorCount&quot;: &quot;3.8&quot;,\n<span class=\"line-number\">194</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">195</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">196</span>            }\n<span class=\"line-number\">197</span>        ]\n<span class=\"line-number\">198</span>    },\n<span class=\"line-number\">199</span>    &quot;maxDeservedForSubqueue&quot;: {\n<span class=\"line-number\">200</span>        &quot;milliCPUcores&quot;: &quot;292000000&quot;,\n<span class=\"line-number\">201</span>        &quot;cpuCores&quot;: &quot;292000&quot;,\n<span class=\"line-number\">202</span>        &quot;memoryGi&quot;: &quot;3361&quot;,\n<span class=\"line-number\">203</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">204</span>            {\n<span class=\"line-number\">205</span>                &quot;acceleratorCount&quot;: &quot;0&quot;,\n<span class=\"line-number\">206</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">207</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">208</span>            }\n<span class=\"line-number\">209</span>        ]\n<span class=\"line-number\">210</span>    },\n<span class=\"line-number\">211</span>    &quot;maxGuaranteeForSubqueue&quot;: {\n<span class=\"line-number\">212</span>        &quot;milliCPUcores&quot;: &quot;292000000&quot;,\n<span class=\"line-number\">213</span>        &quot;cpuCores&quot;: &quot;292000&quot;,\n<span class=\"line-number\">214</span>        &quot;memoryGi&quot;: &quot;3361&quot;,\n<span class=\"line-number\">215</span>        &quot;acceleratorCardList&quot;: [\n<span class=\"line-number\">216</span>            {\n<span class=\"line-number\">217</span>                &quot;acceleratorCount&quot;: &quot;4&quot;,\n<span class=\"line-number\">218</span>                &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;,\n<span class=\"line-number\">219</span>                &quot;acceleratorDescription&quot;: &quot;baidu.com/l20_cgpu&quot;\n<span class=\"line-number\">220</span>            }\n<span class=\"line-number\">221</span>        ]\n<span class=\"line-number\">222</span>    },\n<span class=\"line-number\">223</span>    &quot;bindingNodes&quot;: [\n<span class=\"line-number\">224</span>        {\n<span class=\"line-number\">225</span>            &quot;machineSpec&quot;: &quot;llama2_13B_train/7k&quot;,\n<span class=\"line-number\">226</span>            &quot;nodeNameList&quot;: [\n<span class=\"line-number\">227</span>                &quot;10.0.1.72&quot;\n<span class=\"line-number\">228</span>            ],\n<span class=\"line-number\">229</span>            &quot;count&quot;: 1,\n<span class=\"line-number\">230</span>            &quot;acceleratorType&quot;: &quot;NVIDIA H20Z&quot;\n<span class=\"line-number\">231</span>        },\n<span class=\"line-number\">232</span>        {\n<span class=\"line-number\">233</span>            &quot;machineSpec&quot;: &quot;bcc.gn5i.c112m476.4l20&quot;,\n<span class=\"line-number\">234</span>            &quot;nodeNameList&quot;: [\n<span class=\"line-number\">235</span>                &quot;10.0.5.30&quot;\n<span class=\"line-number\">236</span>            ],\n<span class=\"line-number\">237</span>            &quot;count&quot;: 1,\n<span class=\"line-number\">238</span>            &quot;acceleratorType&quot;: &quot;NVIDIA L20&quot;\n<span class=\"line-number\">239</span>        }\n<span class=\"line-number\">240</span>    ]\n<span class=\"line-number\">241</span>}</code></pre>\n            </div>\n        </div>\n    </div>\n  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