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- <template>
- <div class="gpu-monitor-wrapper">
- <div class="monitor-header">
- <div class="header-left">
- <h3 class="page-title"><i class="el-icon-odometer"></i> 算力资源实时监控</h3>
- <span class="refresh-tip">
- <i class="el-icon-loading" v-if="loading"></i>
- <i class="el-icon-time" v-else></i>
- 自动刷新中(10s/次)
- </span>
- </div>
- <el-button type="primary" size="small" round icon="el-icon-refresh" :loading="loading" @click="fetchGpuData">立即同步</el-button>
- </div>
- <el-row :gutter="20">
- <el-col :span="14">
- <el-card shadow="never" class="info-card">
- <div slot="header" class="card-header">
- <span><i class="el-icon-processor"></i> 显卡硬件:{{ gpuData ? gpuData.gpu.model : '检测中...' }}</span>
- <el-tag type="success" size="mini" effect="dark">在线</el-tag>
- </div>
- <div v-if="gpuData" class="gpu-usage-flex">
- <div class="gauge-section">
- <el-progress
- type="dashboard"
- :percentage="calculatePercentage(gpuData.gpu.mem_used, gpuData.gpu.mem_total)"
- :stroke-width="12"
- :width="160"
- :color="customColors"
- ></el-progress>
- <div class="gauge-label">总显存占用率</div>
- </div>
- <div class="details-section">
- <div class="detail-item">
- <span class="label">已使用 (Used)</span>
- <span class="value used">{{ gpuData.gpu.mem_used }}</span>
- </div>
- <el-progress :percentage="calculatePercentage(gpuData.gpu.mem_used, gpuData.gpu.mem_total)" :show-text="false" :stroke-width="8" :color="customColors"></el-progress>
- <el-divider></el-divider>
- <div class="mini-stats">
- <div class="mini-item">
- <div class="m-label">空闲 (Free)</div>
- <div class="m-value">{{ gpuData.gpu.mem_free }}</div>
- </div>
- <div class="mini-item">
- <div class="m-label">总量 (Total)</div>
- <div class="m-value">{{ gpuData.gpu.mem_total }}</div>
- </div>
- </div>
- </div>
- </div>
- </el-card>
- </el-col>
- <el-col :span="10">
- <el-card shadow="never" class="info-card">
- <div slot="header" class="card-header">
- <span><i class="el-icon-connection"></i> PyTorch 显存池</span>
- </div>
- <div v-if="gpuData" class="torch-container">
- <div class="torch-box reserved">
- <div class="t-label">Reserved (预留)</div>
- <div class="t-value">{{ gpuData.torch.reserved }}</div>
- <div class="t-desc">Torch 预先向系统申请的缓存</div>
- </div>
- <div class="torch-box allocated">
- <div class="t-label">Allocated (分配)</div>
- <div class="t-value">{{ gpuData.torch.allocated }}</div>
- <div class="t-desc">当前 AI 模型实际占用的显存</div>
- </div>
- </div>
- </el-card>
- </el-col>
- </el-row>
- <el-card shadow="never" class="m-t-20 table-card">
- <div slot="header" class="card-header">
- <span><i class="el-icon-collection"></i> Ollama 推理引擎:运行中模型</span>
- </div>
- <el-table :data="gpuData ? gpuData.ollama : []" size="medium" style="width: 100%">
- <el-table-column label="模型名称" min-width="150">
- <template slot-scope="scope">
- <div class="model-cell">
- <div class="model-icon"><i class="el-icon-box"></i></div>
- <span class="model-name-text">{{ scope.row.model_name }}</span>
- </div>
- </template>
- </el-table-column>
- <el-table-column prop="size" label="磁盘大小" width="120"></el-table-column>
- <el-table-column prop="size_vram" label="显存占用 (VRAM)" width="150">
- <template slot-scope="scope">
- <span class="vram-text">{{ scope.row.size_vram }}</span>
- </template>
- </el-table-column>
- <el-table-column label="GPU 负载">
- <template slot-scope="scope">
- <el-progress
- :percentage="Number(scope.row.gpu_percentage)"
- :color="scope.row.gpu_percentage > 90 ? '#67c23a' : '#e6a23c'"
- :stroke-width="10"
- stroke-linecap="round"
- ></el-progress>
- </template>
- </el-table-column>
- <el-table-column prop="stat" label="活跃状态" width="120" align="center">
- <template slot-scope="scope">
- <span class="status-dot" :class="{ 'is-active': scope.row.stat.includes('OK') }"></span>
- {{ scope.row.stat }}
- </template>
- </el-table-column>
- </el-table>
- </el-card>
- </div>
- </template>
- <script>
- import axios from 'axios';
- export default {
- name: 'GpuDashboard',
- data() {
- return {
- gpuData: null,
- loading: false,
- timer: null,
- customColors: [
- {color: '#67c23a', percentage: 40},
- {color: '#e6a23c', percentage: 75},
- {color: '#f56c6c', percentage: 90}
- ]
- };
- },
- mounted() {
- this.fetchGpuData();
- this.timer = setInterval(this.fetchGpuData, 10000);
- },
- beforeDestroy() {
- if (this.timer) clearInterval(this.timer);
- },
- methods: {
- async fetchGpuData() {
- this.loading = true;
- try {
- const response = await axios.get('/api1/gpu/info');
- this.gpuData = response.data;
- } catch (error) {
- this.$message.error('获取 GPU 监控数据失败');
- } finally {
- setTimeout(() => { this.loading = false; }, 500);
- }
- },
- calculatePercentage(usedStr, totalStr) {
- const used = parseFloat(usedStr) || 0;
- const total = parseFloat(totalStr) || 1;
- return Math.min(Math.round((used / total) * 100), 100);
- }
- }
- };
- </script>
- <style scoped>
- .gpu-monitor-wrapper { padding: 0; }
- .m-t-20 { margin-top: 20px; }
- /* 头部样式 */
- .monitor-header {
- display: flex;
- justify-content: space-between;
- align-items: center;
- margin-bottom: 20px;
- }
- .page-title { margin: 0; font-size: 18px; color: #303133; display: flex; align-items: center; }
- .page-title i { margin-right: 8px; color: #409EFF; }
- .refresh-tip { font-size: 12px; color: #909399; margin-left: 15px; }
- /* 卡片通用 */
- .info-card { border: none; border-radius: 8px; }
- .card-header { display: flex; justify-content: space-between; align-items: center; font-weight: bold; }
- /* GPU 显存布局 */
- .gpu-usage-flex {
- display: flex;
- align-items: center;
- padding: 10px 0;
- }
- .gauge-section { width: 200px; text-align: center; border-right: 1px solid #f0f2f5; }
- .gauge-label { font-size: 13px; color: #909399; margin-top: -15px; }
- .details-section { flex: 1; padding-left: 30px; }
- .detail-item { display: flex; justify-content: space-between; margin-bottom: 8px; align-items: flex-end; }
- .detail-item .label { font-size: 13px; color: #606266; }
- .detail-item .value { font-size: 20px; font-weight: bold; font-family: 'PingFang SC', sans-serif; }
- .value.used { color: #f56c6c; }
- .mini-stats { display: flex; gap: 40px; }
- .m-label { font-size: 12px; color: #909399; margin-bottom: 4px; }
- .m-value { font-size: 14px; font-weight: 600; color: #303133; }
- /* PyTorch 盒子样式 */
- .torch-container { display: flex; flex-direction: column; gap: 12px; }
- .torch-box {
- padding: 15px;
- border-radius: 6px;
- position: relative;
- overflow: hidden;
- }
- .torch-box.reserved { background: #fdf6ec; border: 1px solid #faecd8; }
- .torch-box.allocated { background: #ecf5ff; border: 1px solid #d9ecff; }
- .t-label { font-size: 12px; color: #909399; }
- .t-value { font-size: 20px; font-weight: bold; margin: 5px 0; color: #303133; }
- .t-desc { font-size: 11px; color: #a8abb2; }
- /* 表格样式 */
- .table-card { border: none; }
- .model-cell { display: flex; align-items: center; }
- .model-icon {
- width: 32px;
- height: 32px;
- background: #f0f2f5;
- border-radius: 4px;
- display: flex;
- align-items: center;
- justify-content: center;
- margin-right: 10px;
- color: #409EFF;
- }
- .model-name-text { font-weight: 600; color: #303133; }
- .vram-text { color: #409EFF; font-family: monospace; font-weight: bold; }
- /* 状态小点 */
- .status-dot {
- display: inline-block;
- width: 8px;
- height: 8px;
- background: #909399;
- border-radius: 50%;
- margin-right: 6px;
- }
- .status-dot.is-active {
- background: #67c23a;
- box-shadow: 0 0 6px #67c23a;
- }
- </style>
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