commit 4a35fb421eba63d816a98cb025ae77f539e83e1d
Author: Pakobbix <pakobbix@gmail.com>
Date:   Sat May 9 13:13:56 2026 +0000

    Add NVCurve

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+NVCurve is a Linux-based voltage-frequency (V/F) curve editor and overclocking tool for NVIDIA GPUs. It brings per-point V/F curve control — similar to MSI Afterburner on Windows — directly to Linux, using undocumented NvAPI functions exposed through `libnvidia-api.so`.
+
+## What It Does
+
+At its core, NVCurve lets you adjust the frequency offset for any voltage point on your GPU's V/F curve. This gives you fine-grained control over how your GPU clocks at different voltage levels, enabling both performance-oriented overclocking and efficiency-oriented undervolting.
+
+## Two Interfaces, One Tool
+
+NVCurve provides two ways to interact with your GPU:
+
+- **Web UI** — A modern React-based interface with an interactive curve graph, real-time hardware monitoring, point table editor, and profile management. This is the primary interface for most users.
+- **CLI** — A Python command-line tool for scripting, headless systems, automation, and quick one-off operations. Works independently of the web server.
+
+## Key Capabilities
+
+- **Per-Point Curve Editing** — Adjust the frequency offset for any individual voltage point on the V/F curve.
+- **Curve Flattening** — Select multiple points and flatten them to a common frequency using anchor-point targeting.
+- **Live Monitoring** — Track GPU voltage, clock speed, temperature, and power draw in real time via NvAPI and NVML.
+- **Profile Management** — Save, load, and switch between named profiles. Set a default profile that auto-applies on startup.
+- **Multi-GPU Support** *(experimental)* — Manage multiple NVIDIA GPUs from a single server instance with a GPU selector in the web UI.
+- **Snapshots** — Automatic snapshot-and-restore before every write, so you can always revert changes.
+
+## Architecture
+
+NVCurve consists of two components:
+
+| Component | Description |
+|---|---|
+| **Python Backend** | Talks directly to `libnvidia-api.so` (via ctypes) and `libnvidia-ml.so` to read and write GPU hardware state. Exposes functionality through a FastAPI REST + WebSocket server. |
+| **React Frontend** | Runs in the browser and communicates with the backend over HTTP and WebSockets. Handles curve visualization, point editing, live monitoring, and profile management. |
+
+The backend keeps all privileged operations isolated from the browser. The CLI can operate entirely standalone, bypassing the server for direct hardware access.
+
+## Important Notes
+
+> **Experimental Software** — NVCurve uses undocumented NvAPI functions that may change between driver releases. It has been tested on a range of NVIDIA GPUs including RTX 5090 (Blackwell), but compatibility is not guaranteed on all hardware/driver combinations.
+
+> **Read vs. Write Safety** — Read operations are generally safe. Write operations alter live GPU operational parameters. Always run the hardware compatibility check (`nvcurve setup`) before applying changes.
+
+## Requirements
+
+- **OS**: Linux
+- **GPU**: NVIDIA GPU with a supported driver
+- **Python**: 3.12 or later
+- **Privileges**: Root access for hardware interactions (CLI prompts for `sudo` when needed)
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