gpu.nz GPU cloud

nz.gpu由 gpu.nz 发布官方发布者v1.0.0更新于 Oct 26, 2026

Rent cloud GPUs from AI agents: live prices, VRAM estimates, launch, logs and stop.

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概览

AI 生成的概览

让 AI 助手在 gpu.nz 上查找、比价并租用云端 GPU 服务器，估算模型显存、启动模板、查看日志并停止或销毁服务器。

可以做什么
  • 浏览 GPU 型号，按实时价格搜索可租用的服务器并查看单个报价详情
  • 估算模型所需显存及适配的 GPU，并列出 ComfyUI、Ollama、vLLM、Jupyter 等现成模板
  • 按报价和模板租用服务器，并启动、停止或销毁服务器
  • 查看实例状态、SSH 命令、应用地址、已产生费用和最近的容器日志
  • 查看账户余额、每小时消耗与可用时长，并管理 SSH 密钥
  • 获取充值链接，供用户在浏览器中打开
适用场景
适合让助手先估算模型显存、比较实时小时价格，再实际租用、运行并关闭 GPU 服务器来完成图像生成、微调或推理等任务。
运行要求
可使用 gpu.nz 的远程端点，或通过已发布的容器镜像、Node.js 18+ 下的 npx 运行本地 stdio 桥接。浏览类工具无需凭证；租用和管理服务器需要 gpu.nz 控制台的 API 密钥，通过 GPUNZ_API_KEY 环境变量或 Authorization bearer 请求头传入。instances:write、user:read、billing:read 等权限范围决定可用工具。
安装前请注意
租用后立即开始计费，按分钟持续到停止或销毁；destroy_instance 会永久删除服务器及其磁盘。API 密钥可产生费用并访问账户，应妥善保管并限制权限。显式请求时会返回 root 密码。充值只能在浏览器中完成，不通过工具进行。

安装

在 SourceWeft 中

  1. 打开 控制台中的 gpu.nz GPU cloud，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/nz.gpu%2Fgpu-cloud/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "gpu-nz-gpu-cloud": {
      "type": "http",
      "url": "https://gpu.nz/mcp"
    }
  }
}

README

[gpu.nz MCP — let AI agents find a GPU, estimate VRAM, rent a server and stop it]

gpu.nz MCP server

Let Claude, Cursor, Codex and other AI agents rent cloud GPUs: search RTX 4090, A100, H100 and B200 servers with live prices, work out how much VRAM a model needs, launch ComfyUI, Ollama, vLLM or Jupyter, read the logs and stop the server when the job is done. Billed by the minute.

[MCP] [Endpoint] [License: MIT]

Docs · VRAM calculator · REST API · CLI · Русский

Connect

The server is hosted at https://gpu.nz/mcp — nothing to install. Browsing GPUs, prices and VRAM estimates works without a key; renting and managing servers needs an API key from gpu.nz/console/keys.

Claude Code

bash
claude mcp add --transport http gpunz https://gpu.nz/mcp \  --header "Authorization: Bearer gpz_…"

Cursor — ~/.cursor/mcp.json

json
{  "mcpServers": {    "gpunz": {      "url": "https://gpu.nz/mcp",      "headers": { "Authorization": "Bearer gpz_…" }    }  }}

VS Code — .vscode/mcp.json (asks for the key once and keeps it in secret storage)

json
{  "servers": {    "gpunz": {      "type": "http",      "url": "https://gpu.nz/mcp",      "headers": { "Authorization": "Bearer ${input:gpunz-key}" }    }  },  "inputs": [{ "type": "promptString", "id": "gpunz-key", "description": "gpu.nz API key", "password": true }]}

Codex CLI

bash
export GPUNZ_API_KEY="gpz_…"codex mcp add gpunz --url https://gpu.nz/mcp --bearer-token-env-var GPUNZ_API_KEY

Claude Desktop — claude_desktop_config.json, through mcp-remote

json
{  "mcpServers": {    "gpunz": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://gpu.nz/mcp", "--header", "Authorization:${GPUNZ_AUTH}"],      "env": { "GPUNZ_AUTH": "Bearer gpz_…" }    }  }}

On claude.ai you can add https://gpu.nz/mcp under Connectors without a key: search and estimates work.

Local stdio bridge

For clients that only start local servers, this repository is a small stdio bridge to the hosted server:

bash
# Dockerdocker run -i --rm -e GPUNZ_API_KEY="gpz_…" ghcr.io/gpunz/gpunz-mcp
# Node.js 18+, straight from GitHubGPUNZ_API_KEY="gpz_…" npx -y github:gpunz/gpunz-mcp
Variable
GPUNZ_API_KEYAPI key (gpz_…). Optional: without it only the browsing tools work
GPUNZ_MCP_URLEndpoint override, default https://gpu.nz/mcp

Tools

ToolWhat it doesKey scope
list_gpu_modelsGPU models in stock: memory, class, cheapest price per hour—
search_offersServers with live prices; filter by GPU, count, VRAM, price, country, reliability—
get_offerOne server and its current price—
list_templatesReady environments: ComfyUI, Forge, Ollama + Open WebUI, vLLM, Jupyter, Kohya, FluxGym, Unsloth, your own Docker image—
estimate_vramVRAM a model needs (Qwen, DeepSeek, Llama, Gemma, GPT-OSS, FLUX, Wan…) at a quantisation and context, and the cheapest GPUs that fit—
topup_linkA link to top up the balance in the browser—
get_accountAccount, balance, hourly spend and runwayuser:read, billing:read
list_instances · get_instanceYour servers: status, SSH command, app URLs, cost so farinstances:read
get_instance_logsThe last log lines: boot, app start-up, errorsinstances:read
create_instanceRents a server with a template; billing starts at onceinstances:write
stop_instance · start_instanceStop (only the disk is billed) and start againinstances:write
destroy_instanceDestroys a server and its diskinstances:write
list_ssh_keys · add_ssh_keySSH keys installed on new serversuser:read / user:write

Try asking

  • How much VRAM does Qwen3.8 27B need with a 32k context, and where is it cheapest?
  • Find the cheapest RTX 4090 with reliability above 0.98 and start ComfyUI on it with an 80 GB disk.
  • Run GPT-OSS 120B on one H100 and give me the chat link when the server is ready.
  • Show my servers and what they cost per hour; stop the ones I haven't touched since yesterday.

Money and safety

  • The agent cannot spend more than your balance: top-ups happen in the browser only.
  • create_instance, start_instance and destroy_instance are annotated as consequential, so clients ask you before running them.
  • The root password stays out of tool output unless asked for explicitly; your SSH keys are installed on every server.
  • The tools call the gpu.nz REST API with your key: its scopes, the rate limit (120 requests a minute per key) and the account's audit log apply.

По-русски

MCP-сервер gpu.nz подключает аренду видеокарт к ИИ-агентам: Claude, Cursor, Codex и другим. Агент сам найдёт подходящую видеокарту, посчитает видеопамять для модели, арендует сервер с ComfyUI, Ollama или vLLM, прочитает логи и остановит сервер. Адрес: https://gpu.nz/mcp, оплата поминутная, в рублях через СБП или криптой. Документация: gpu.nz/docs/mcp.

License

MIT. gpu.nz is a GPU cloud billed by the minute; the hosted server and the API are run by gpu.nz.

来源：README.md，提交 875bb06

工具

16

list_gpu_models

List GPU models

GPU models available on gpu.nz right now with VRAM, class and the cheapest hourly price per GPU. Use it to pick a gpu_slug for search_offers.

输入参数querymin_vram_gb

search_offers

Search GPU servers

Search rentable GPU servers (offers) with live prices. Returns the cheapest matches first unless `order` says otherwise. Each result has an offer id for create_instance.

输入参数gputypelimitordercountrynum_gpusverifiedmin_disk_gbmin_vram_gbmax_price_rub_hmin_reliability

get_offer

Get one offer

Details and the current price of one offer by id (from search_offers).

输入参数offer_id必填

list_templates

List templates

Ready environments a server can start with: ComfyUI, Stable Diffusion Forge, Ollama + Open WebUI, vLLM, Jupyter/PyTorch, Kohya, FluxGym, Unsloth, chats with preloaded models, plain Ubuntu + CUDA, or a custom Docker image. Pass `slug` as `template` to create_instance.

无需输入参数。

estimate_vram

Estimate VRAM for an AI model

How much GPU memory an AI model needs (LLMs such as Qwen, DeepSeek, Llama, Gemma, GPT-OSS; image and video models such as FLUX, SDXL, Wan) at a given precision and context length, and which GPUs on gpu.nz fit it with their current price. Call without `model` to list the known models.

输入参数modelprecisioncontext_tokensconcurrent_requests

get_account

Account and balance

The signed-in account and its balance, hourly burn and runway. Needs a key with user:read and billing:read.

无需输入参数。

list_instances

List my servers

Your rented servers with status, GPU, price and SSH command. Needs instances:read.

输入参数status

get_instance

Get one server

Status, SSH command, app URLs (ComfyUI, Jupyter, chat…), price and cost so far of one server. The root password is left out unless include_password is true (your SSH keys are installed on every server).

输入参数instance_id必填include_password

create_instance

Rent a GPU server

Rents the server of an offer and starts it with a template. Billing starts right away and runs every minute until you stop or destroy it. Confirm the price with the user first. Needs instances:write. The response has the instance id; poll get_instance until status is running (usually 1–5 minutes).

输入参数nametypeimagedisk_gb必填offer_id必填template必填ssh_key_idsidempotency_key

stop_instance

Stop a server

Stops a running server: the GPU is released and billing drops to the disk only. Data on the disk is kept and the server can be started again (the GPU may then be taken by someone else; gpu.nz finds a replacement when it is). Needs instances:write.

输入参数instance_id必填

start_instance

Start a server

Starts a stopped server again; GPU billing resumes. Confirm with the user. Needs instances:write.

输入参数instance_id必填

destroy_instance

Destroy a server

Destroys a server and deletes its disk for good; billing stops completely. Irreversible: confirm with the user. Needs instances:write.

输入参数instance_id必填

get_instance_logs

Server logs

The last lines of a server's container log: boot progress, app start-up, errors. Needs instances:read.

输入参数tailinstance_id必填

list_ssh_keys

List SSH keys

SSH public keys on the account; they are installed on new servers. Needs user:read.

无需输入参数。

add_ssh_key

Add an SSH key

Adds an SSH public key (a line from a .pub file) to the account. Needs user:write.

输入参数namepublic_key必填

版本历史

1
  1. v1.0.0最新Oct 19, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

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