mirror of
https://github.com/Dokploy/dokploy
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Merge branch 'canary' of https://github.com/kdurek/dokploy into feat/server-ip
This commit is contained in:
Krzysztof Durek
@@ -116,3 +116,4 @@ export * from "./monitoring/utilts";
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export * from "./db/validations/domain";
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export * from "./db/validations/index";
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export * from "./utils/gpu-setup";
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349
packages/server/src/utils/gpu-setup.ts
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349
packages/server/src/utils/gpu-setup.ts
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@@ -0,0 +1,349 @@
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import * as fs from "node:fs/promises";
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import { execAsync, sleep } from "../utils/process/execAsync";
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import { execAsyncRemote } from "../utils/process/execAsync";
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interface GPUInfo {
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driverInstalled: boolean;
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driverVersion?: string;
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gpuModel?: string;
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runtimeInstalled: boolean;
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runtimeConfigured: boolean;
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cudaSupport: boolean;
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cudaVersion?: string;
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memoryInfo?: string;
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availableGPUs: number;
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swarmEnabled: boolean;
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gpuResources: number;
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}
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export async function checkGPUStatus(serverId?: string): Promise<GPUInfo> {
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try {
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const [driverInfo, runtimeInfo, swarmInfo, gpuInfo, cudaInfo] =
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await Promise.all([
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checkGpuDriver(serverId),
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checkRuntime(serverId),
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checkSwarmResources(serverId),
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checkGpuInfo(serverId),
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checkCudaSupport(serverId),
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]);
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return {
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...driverInfo,
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...runtimeInfo,
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...swarmInfo,
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...gpuInfo,
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...cudaInfo,
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};
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} catch (error) {
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console.error("Error in checkGPUStatus:", error);
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return {
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driverInstalled: false,
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driverVersion: undefined,
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runtimeInstalled: false,
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runtimeConfigured: false,
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cudaSupport: false,
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cudaVersion: undefined,
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gpuModel: undefined,
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memoryInfo: undefined,
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availableGPUs: 0,
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swarmEnabled: false,
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gpuResources: 0,
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};
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}
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}
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const checkGpuDriver = async (serverId?: string) => {
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let driverVersion: string | undefined;
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let driverInstalled = false;
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let availableGPUs = 0;
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try {
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const driverCommand =
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"nvidia-smi --query-gpu=driver_version --format=csv,noheader";
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const { stdout: nvidiaSmi } = serverId
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? await execAsyncRemote(serverId, driverCommand)
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: await execAsync(driverCommand);
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driverVersion = nvidiaSmi.trim();
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if (driverVersion) {
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driverInstalled = true;
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const countCommand =
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"nvidia-smi --query-gpu=gpu_name --format=csv,noheader | wc -l";
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const { stdout: gpuCount } = serverId
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? await execAsyncRemote(serverId, countCommand)
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: await execAsync(countCommand);
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availableGPUs = Number.parseInt(gpuCount.trim(), 10);
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}
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} catch (error) {
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console.debug("GPU driver check:", error);
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}
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return { driverVersion, driverInstalled, availableGPUs };
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};
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const checkRuntime = async (serverId?: string) => {
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let runtimeInstalled = false;
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let runtimeConfigured = false;
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try {
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// First check: Is nvidia-container-runtime installed?
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const checkBinaryCommand = "command -v nvidia-container-runtime";
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try {
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const { stdout } = serverId
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? await execAsyncRemote(serverId, checkBinaryCommand)
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: await execAsync(checkBinaryCommand);
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runtimeInstalled = !!stdout.trim();
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} catch (error) {
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console.debug("Runtime binary check:", error);
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}
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// Second check: Is it configured in Docker?
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try {
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const runtimeCommand = 'docker info --format "{{json .Runtimes}}"';
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const { stdout: runtimeInfo } = serverId
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? await execAsyncRemote(serverId, runtimeCommand)
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: await execAsync(runtimeCommand);
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const defaultCommand = 'docker info --format "{{.DefaultRuntime}}"';
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const { stdout: defaultRuntime } = serverId
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? await execAsyncRemote(serverId, defaultCommand)
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: await execAsync(defaultCommand);
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const runtimes = JSON.parse(runtimeInfo);
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const hasNvidiaRuntime = "nvidia" in runtimes;
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const isDefaultRuntime = defaultRuntime.trim() === "nvidia";
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// Only set runtimeConfigured if both conditions are met
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runtimeConfigured = hasNvidiaRuntime && isDefaultRuntime;
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} catch (error) {
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console.debug("Runtime configuration check:", error);
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}
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} catch (error) {
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console.debug("Runtime check:", error);
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}
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return { runtimeInstalled, runtimeConfigured };
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};
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const checkSwarmResources = async (serverId?: string) => {
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let swarmEnabled = false;
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let gpuResources = 0;
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try {
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const nodeCommand =
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"docker node inspect self --format '{{json .Description.Resources.GenericResources}}'";
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const { stdout: resources } = serverId
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? await execAsyncRemote(serverId, nodeCommand)
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: await execAsync(nodeCommand);
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if (resources && resources !== "null") {
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const genericResources = JSON.parse(resources);
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for (const resource of genericResources) {
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if (
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resource.DiscreteResourceSpec &&
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(resource.DiscreteResourceSpec.Kind === "GPU" ||
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resource.DiscreteResourceSpec.Kind === "gpu")
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) {
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gpuResources = resource.DiscreteResourceSpec.Value;
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swarmEnabled = true;
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break;
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}
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}
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}
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} catch (error) {
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console.debug("Swarm resource check:", error);
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}
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return { swarmEnabled, gpuResources };
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};
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const checkGpuInfo = async (serverId?: string) => {
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let gpuModel: string | undefined;
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let memoryInfo: string | undefined;
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try {
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const gpuInfoCommand =
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"nvidia-smi --query-gpu=gpu_name,memory.total --format=csv,noheader";
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const { stdout: gpuInfo } = serverId
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? await execAsyncRemote(serverId, gpuInfoCommand)
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: await execAsync(gpuInfoCommand);
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[gpuModel, memoryInfo] = gpuInfo.split(",").map((s) => s.trim());
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} catch (error) {
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console.debug("GPU info check:", error);
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}
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return { gpuModel, memoryInfo };
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};
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const checkCudaSupport = async (serverId?: string) => {
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let cudaVersion: string | undefined;
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let cudaSupport = false;
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try {
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const cudaCommand = 'nvidia-smi -q | grep "CUDA Version"';
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const { stdout: cudaInfo } = serverId
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? await execAsyncRemote(serverId, cudaCommand)
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: await execAsync(cudaCommand);
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const cudaMatch = cudaInfo.match(/CUDA Version\s*:\s*([\d\.]+)/);
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cudaVersion = cudaMatch ? cudaMatch[1] : undefined;
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cudaSupport = !!cudaVersion;
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} catch (error) {
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console.debug("CUDA support check:", error);
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}
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return { cudaVersion, cudaSupport };
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};
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export async function setupGPUSupport(serverId?: string): Promise<void> {
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try {
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// 1. Initial status check and validation
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const initialStatus = await checkGPUStatus(serverId);
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const shouldContinue = await validatePrerequisites(initialStatus);
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if (!shouldContinue) return;
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// 2. Get node ID
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const nodeId = await getNodeId(serverId);
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// 3. Create daemon configuration
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const daemonConfig = createDaemonConfig(initialStatus.availableGPUs);
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// 4. Setup server based on environment
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if (serverId) {
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await setupRemoteServer(serverId, daemonConfig);
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} else {
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await setupLocalServer(daemonConfig);
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}
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// 5. Wait for Docker restart
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await sleep(10000);
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// 6. Add GPU label
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await addGpuLabel(nodeId, serverId);
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// 7. Final verification
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await sleep(5000);
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await verifySetup(nodeId, serverId);
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} catch (error) {
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if (
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error instanceof Error &&
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error.message.includes("password is required")
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) {
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throw new Error(
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"Sudo access required. Please run with appropriate permissions.",
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);
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}
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throw error;
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}
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}
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const validatePrerequisites = async (initialStatus: GPUInfo) => {
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if (!initialStatus.driverInstalled) {
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throw new Error(
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"NVIDIA drivers not installed. Please install appropriate NVIDIA drivers first.",
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);
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}
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if (!initialStatus.runtimeInstalled) {
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throw new Error(
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"NVIDIA Container Runtime not installed. Please install nvidia-container-runtime first.",
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);
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}
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if (initialStatus.swarmEnabled && initialStatus.runtimeConfigured) {
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return false;
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}
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return true;
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};
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const getNodeId = async (serverId?: string) => {
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const nodeIdCommand = 'docker info --format "{{.Swarm.NodeID}}"';
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const { stdout: nodeId } = serverId
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? await execAsyncRemote(serverId, nodeIdCommand)
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: await execAsync(nodeIdCommand);
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const trimmedNodeId = nodeId.trim();
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if (!trimmedNodeId) {
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throw new Error("Setup Server before enabling GPU support");
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}
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return trimmedNodeId;
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};
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const createDaemonConfig = (availableGPUs: number) => ({
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runtimes: {
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nvidia: {
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path: "nvidia-container-runtime",
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runtimeArgs: [],
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},
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},
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"default-runtime": "nvidia",
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"node-generic-resources": [`GPU=${availableGPUs}`],
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});
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const setupRemoteServer = async (serverId: string, daemonConfig: any) => {
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const setupCommands = [
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"sudo -n true",
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`echo '${JSON.stringify(daemonConfig, null, 2)}' | sudo tee /etc/docker/daemon.json`,
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"sudo mkdir -p /etc/nvidia-container-runtime",
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'sudo sed -i "/swarm-resource/d" /etc/nvidia-container-runtime/config.toml',
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'echo "swarm-resource = \\"DOCKER_RESOURCE_GPU\\"" | sudo tee -a /etc/nvidia-container-runtime/config.toml',
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"sudo systemctl daemon-reload",
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"sudo systemctl restart docker",
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].join(" && ");
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await execAsyncRemote(serverId, setupCommands);
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};
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const setupLocalServer = async (daemonConfig: any) => {
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const configFile = `/tmp/docker-daemon-${Date.now()}.json`;
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await fs.writeFile(configFile, JSON.stringify(daemonConfig, null, 2));
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const setupCommands = [
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`pkexec sh -c '
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cp ${configFile} /etc/docker/daemon.json &&
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mkdir -p /etc/nvidia-container-runtime &&
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sed -i "/swarm-resource/d" /etc/nvidia-container-runtime/config.toml &&
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echo "swarm-resource = \\"DOCKER_RESOURCE_GPU\\"" >> /etc/nvidia-container-runtime/config.toml &&
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systemctl daemon-reload &&
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systemctl restart docker
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'`,
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`rm ${configFile}`,
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].join(" && ");
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await execAsync(setupCommands);
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};
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const addGpuLabel = async (nodeId: string, serverId?: string) => {
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const labelCommand = `docker node update --label-add gpu=true ${nodeId}`;
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if (serverId) {
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await execAsyncRemote(serverId, labelCommand);
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} else {
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await execAsync(labelCommand);
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}
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};
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const verifySetup = async (nodeId: string, serverId?: string) => {
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const finalStatus = await checkGPUStatus(serverId);
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if (!finalStatus.swarmEnabled) {
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const diagnosticCommands = [
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`docker node inspect ${nodeId}`,
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'nvidia-smi -a | grep "GPU UUID"',
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"cat /etc/docker/daemon.json",
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"cat /etc/nvidia-container-runtime/config.toml",
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].join(" && ");
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const { stdout: diagnostics } = serverId
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? await execAsyncRemote(serverId, diagnosticCommands)
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: await execAsync(diagnosticCommands);
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console.error("Diagnostic Information:", diagnostics);
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throw new Error("GPU support not detected in swarm after setup");
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}
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return finalStatus;
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};
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