shanselman/gputaskman

选用指南

AI 根据 README 整理 · 2026/11/3 23:42:34

使用方式

通过命令行运行，支持交互式终端界面、一次性文本输出和JSON输出。

查看 README 依据

not a universal executable. If no release is published yet, use the source instructions below. Extract the **entire ZIP**, keeping `_internal` beside `gputaskman.exe`. Open Windows Terminal or PowerShell in the extracted folder: ```powershell .\gputaskman.exe .\gputaskman.exe --once .\gputaskman.exe --json ``` No Python, uv, CUDA Toolkit, model download, or installation is needed. An NVIDIA GPU with a current Windows WDDM driver is still required. Builds are currently **unsigned**; code signing and an installer are not part of this initial distribution. Each ZIP includes licenses and a

 ## Usage ```powershell uv run --locked gputaskman # live TUI uv run --locked gtm # shorter alias uv run --locked gputaskman -i 2 # sample every two seconds uv run --locked gputaskman --once # one text snapshot uv run --locked gputaskman --json # one JSON snapshot; implies --once uv run --locked gputaskman --help ``` | Key | Action | |---|---| | Up / Down | Select a process and inspect it |

部署要求

需要64位Windows 10/11、NVIDIA GPU和当前WDDM驱动，无需Python或CUDA Toolkit。

查看 README 依据

not a universal executable. If no release is published yet, use the source instructions below. Extract the **entire ZIP**, keeping `_internal` beside `gputaskman.exe`. Open Windows Terminal or PowerShell in the extracted folder: ```powershell .\gputaskman.exe .\gputaskman.exe --once .\gputaskman.exe --json ``` No Python, uv, CUDA Toolkit, model download, or installation is needed. An NVIDIA GPU with a current Windows WDDM driver is still required. Builds are currently **unsigned**; code signing and an installer are not part of this initial distribution. Each ZIP includes licenses and a

`.zip.sha256` companion file is published for integrity checks. ## Clone and run Use **64-bit Windows 10/11**, an **NVIDIA GPU with a current WDDM driver**, and a terminal (Windows Terminal is recommended). Live workload checks have included an RTX 4080 SUPER and an RTX Spark N1X on Windows ARM64. CUDA workloads are supported on ARM64 with a compatible NVIDIA driver and ARM64 CUDA runtime. Install [Git for Windows](https://git-scm.com/downloads/win) and [uv](https://docs.astral.sh/uv/getting-started/installation/) if needed. With WinGet: ```powershell winget install --id Git.Git --exact

已知限制

早期实验性软件，设备计数器为测量值，分类和GGUF推导的分解为估计值；不支持CPU、NPU和云工作负载。

查看 README 依据

training/fine-tuning (including Unsloth), graphics, and video all belong here. Visibility varies: process memory and engine activity are measured; identifying individual models and their work requires supporting evidence. A PyTorch/CUDA DLL alone cannot identify a model or prove training, and a mapped file does not prove that model is resident on the GPU or being exercised. CPU-only, NPU-only, and cloud workloads are out of scope. 

> Early, experimental software. Device and process counters are measurements; classifications > and GGUF-derived breakdowns are estimates. This does not dump VRAM or enumerate a game's textures. ## Portable Windows download The [Releases page](https://github.com/shanselman/gputaskman/releases) is where tagged builds publish two portable ZIPs: `gputaskman-VERSION-windows-x64.zip` for Intel/AMD Windows PCs, and `gputaskman-VERSION-windows-arm64.zip` for native Windows ARM64. These are separate native builds,