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RWKV7-1.5B-g1a部署教程：配置Prometheus+Grafana监控GPU显存/请求延迟/错误率

news 2026/5/12 11:18:23

RWKV7-1.5B-g1a部署教程：配置Prometheus+Grafana监控GPU显存/请求延迟/错误率

1. 模型简介

rwkv7-1.5B-g1a是基于RWKV-7架构的多语言文本生成模型，特别适合基础问答、文案续写、简短总结和轻量中文对话场景。该模型具有以下特点：

单卡24GB显存即可轻松运行
模型加载后显存占用仅约3.8GB
简洁易用的Web界面
完全支持离线加载，不依赖外网资源

2. 监控系统部署准备

2.1 系统要求

在开始部署监控系统前，请确保您的环境满足以下要求：

已部署rwkv7-1.5B-g1a模型服务
服务器具有管理员权限
至少1GB可用内存用于监控组件
开放9090(Prometheus)和3000(Grafana)端口

2.2 组件介绍

我们将使用以下工具构建监控系统：

Prometheus：负责指标收集和存储
Grafana：提供可视化监控仪表板
Node Exporter：收集系统级指标
NVIDIA GPU Exporter：收集GPU相关指标

3. 分步安装指南

3.1 安装Prometheus

# 创建专用用户和目录 sudo useradd --no-create-home --shell /bin/false prometheus sudo mkdir /etc/prometheus sudo mkdir /var/lib/prometheus # 下载并安装Prometheus wget https://github.com/prometheus/prometheus/releases/download/v2.47.0/prometheus-2.47.0.linux-amd64.tar.gz tar xvf prometheus-2.47.0.linux-amd64.tar.gz sudo cp prometheus-2.47.0.linux-amd64/prometheus /usr/local/bin/ sudo cp prometheus-2.47.0.linux-amd64/promtool /usr/local/bin/ sudo cp -r prometheus-2.47.0.linux-amd64/consoles /etc/prometheus sudo cp -r prometheus-2.47.0.linux-amd64/console_libraries /etc/prometheus # 创建配置文件 sudo nano /etc/prometheus/prometheus.yml

配置文件内容如下：

global: scrape_interval: 15s scrape_configs: - job_name: 'prometheus' static_configs: - targets: ['localhost:9090'] - job_name: 'node' static_configs: - targets: ['localhost:9100'] - job_name: 'gpu' static_configs: - targets: ['localhost:9835'] - job_name: 'rwkv' metrics_path: '/metrics' static_configs: - targets: ['localhost:7860']

3.2 安装Node Exporter

wget https://github.com/prometheus/node_exporter/releases/download/v1.6.1/node_exporter-1.6.1.linux-amd64.tar.gz tar xvf node_exporter-1.6.1.linux-amd64.tar.gz sudo cp node_exporter-1.6.1.linux-amd64/node_exporter /usr/local/bin/

3.3 安装NVIDIA GPU Exporter

wget https://github.com/utkuozdemir/nvidia_gpu_exporter/releases/download/v1.2.0/nvidia_gpu_exporter_1.2.0_linux_x86_64.tar.gz tar xvf nvidia_gpu_exporter_1.2.0_linux_x86_64.tar.gz sudo cp nvidia_gpu_exporter /usr/local/bin/

3.4 安装Grafana

sudo apt-get install -y apt-transport-https sudo apt-get install -y software-properties-common wget wget -q -O - https://packages.grafana.com/gpg.key | sudo apt-key add - echo "deb https://packages.grafana.com/oss/deb stable main" | sudo tee -a /etc/apt/sources.list.d/grafana.list sudo apt-get update sudo apt-get install grafana

4. 配置系统服务

4.1 配置Prometheus服务

创建服务文件/etc/systemd/system/prometheus.service：

[Unit] Description=Prometheus Wants=network-online.target After=network-online.target [Service] User=prometheus Group=prometheus Type=simple ExecStart=/usr/local/bin/prometheus \ --config.file /etc/prometheus/prometheus.yml \ --storage.tsdb.path /var/lib/prometheus/ \ --web.console.templates=/etc/prometheus/consoles \ --web.console.libraries=/etc/prometheus/console_libraries [Install] WantedBy=multi-user.target

4.2 配置Node Exporter服务

创建服务文件/etc/systemd/system/node_exporter.service：

[Unit] Description=Node Exporter After=network.target [Service] User=prometheus ExecStart=/usr/local/bin/node_exporter [Install] WantedBy=multi-user.target

4.3 配置GPU Exporter服务

创建服务文件/etc/systemd/system/nvidia_gpu_exporter.service：

[Unit] Description=NVIDIA GPU Exporter After=network.target [Service] User=root ExecStart=/usr/local/bin/nvidia_gpu_exporter [Install] WantedBy=multi-user.target

4.4 启动所有服务

sudo systemctl daemon-reload sudo systemctl start prometheus node_exporter nvidia_gpu_exporter grafana-server sudo systemctl enable prometheus node_exporter nvidia_gpu_exporter grafana-server