NVCurve

Linux NVIDIA GPU V/F Curve Editor & OC Tool

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NVCurve brings MSI Afterburner-style per-point voltage-frequency curve control to Linux via undocumented NvAPI functions. A React web UI for interactive editing and monitoring; a Python CLI for scripting and headless use.

Warning

Experimental software. Undocumented NvAPI functions may change between driver releases. Write operations alter GPU operational parameters. Always run nvcurve setup before applying changes.

Important

Blackwell GPU Fork — This is a specialized fork with extended memory offset support (> +1000 MHz) and custom fan curve control for Blackwell GPUs (RTX 50-series). Installing the pre-built PyPI package will NOT include these features. You must build from source.

Prerequisites

• Linux with NVIDIA proprietary drivers
• Python 3.12+
• Node.js 18+ and npm (for building the React frontend)
• uv — Python package manager
• Root/sudo access (required for GPU hardware interactions)

Installation from Source

git clone <this-repo-url>.git
cd nvcurve

# Build the React frontend
cd frontend
npm install
npm run build
cd ..

# Install the Python package (includes bundled frontend)
uv tool install .

After installation, verify hardware compatibility:

nvcurve setup

Getting Started

nvcurve          # Launch web UI at http://localhost:8042
nvcurve read     # Quick curve read from CLI

Authentication (Multi-User)

The server runs open by default. On a shared machine (e.g. an AI server), add users to require a login — the web UI then shows a sign-in screen and every API/WebSocket call is protected. Passwords are stored as bcrypt hashes; sessions last 24 hours.

sudo nvcurve user add alice      # add a user (prompts for password)
nvcurve user list                # list users
sudo nvcurve user remove alice   # remove a user

Adding the first user enables authentication immediately; removing the last user disables it. See the Usage Guide for details.

Systemd Service

Install the daemon for automatic profile loading on boot and optional web server auto-start:

Install with web server auto-start

nvcurve service install --auto-serve --host 0.0.0.0 --port 8042

Install daemon only (start web server on demand)

nvcurve service install

Manage

nvcurve service start|stop|restart|status
nvcurve service uninstall

Reconfigure

nvcurve service configure --auto-serve      # Enable web server auto-start
nvcurve service configure --no-auto-serve   # Disable web server auto-start
nvcurve service configure --host 0.0.0.0 --port 8042

Manual systemd Unit

If you prefer managing the unit file directly, here is the template installed by nvcurve service install:

[Unit]
Description=NVCurve NVIDIA GPU V/F Curve Daemon
After=nvidia-persistenced.service
Wants=nvidia-persistenced.service

[Service]
Type=simple
ExecStart=/usr/bin/python3 -m nvcurve daemon
Restart=on-failure
RestartSec=5
Environment=PYTHONDONTWRITEBYTECODE=1

[Install]
WantedBy=multi-user.target

Place at /etc/systemd/system/nvcurve.service, then:

sudo systemctl daemon-reload
sudo systemctl enable --now nvcurve

Persistent Configuration

The daemon reads settings from /etc/nvcurve/config.json:

{
  "host": "127.0.0.1",
  "port": 8042,
  "auto_serve": false,
  "max_delta_khz": 3000000,
  "auto_snapshot": true,
  "max_snapshots": 20,
  "auto_load_profiles": {
    "idx:0": "my_profile"
  }
}

Setting	Description
host	Web server bind address (0.0.0.0 for network access)
port	Web server port (default 8042)
auto_serve	Auto-start web server on boot
max_delta_khz	Safety cap for frequency offsets (default 3000 MHz)
auto_snapshot	Save snapshot before every write
max_snapshots	Max snapshots to keep (0 = unlimited)
auto_load_profiles	Per-GPU profile to apply on boot ({gpu_key: profile_name})

The GPU key can be a UUID, pci:XXXX, or idx:N fallback. Find your GPU key with nvcurve gpus.

Documentation

• Overview — What it does, capabilities, architecture
• Installation — Prerequisites, source build, troubleshooting
• Usage Guide — Web UI, CLI reference, systemd service
• Tips and Tricks — Workflows, curve flattening, safety

Upgrading

cd nvcurve
git pull
cd frontend && npm run build && cd ..
uv tool install .

If running as a systemd service:

nvcurve service restart

Changelog

See CHANGELOG.md.