gputaskman
GPU monitoring tool for local AI and graphics workloads
Developer ToolsFreeOpen source · verified#gpu-monitoring#ai-infrastructure#cli
Listed by the ProductPerch team from GitHub · not launched here yet
What is gputaskman?
gputaskman is a terminal-based utility that monitors local GPU usage across Windows, Linux, WSL, and macOS Apple Silicon systems. It tracks per-process video memory consumption and engine activity for NVIDIA, AMD, and Intel GPUs.
The tool provides detailed breakdowns for large language model workloads, including model weights and KV cache allocation. It connects running processes with their associated frameworks and identifies how much memory is used by desktop compositors versus active applications.
Installation is handled through Python package managers like uv or pipx, with portable executable versions also available for Windows. The project is released under the MIT license and remains in an early experimental stage, focusing strictly on local hardware rather than cloud services.
gputaskman features
- Tracks per-process VRAM usage and GPU engine activity
- Breaks down memory allocation for LLM weights and KV cache
- Supports NVIDIA, AMD, and Intel GPUs across multiple OSes
- Provides a terminal interface for real-time workload monitoring
- Identifies which applications are consuming local GPU resources
- Offers portable Windows builds without requiring Python installation
Who uses gputaskman and for what
- Debugging out-of-memory errors during local LLM inference
- Monitoring GPU utilization while fine-tuning models with PyTorch
- Checking if background processes are wasting video memory
- Comparing VRAM consumption between different AI frameworks
- Verifying GPU driver telemetry data on Windows or Linux
gputaskman FAQ
Is gputaskman free to use?
Yes, gputaskman is distributed under the MIT license and can be installed at no cost using Python package managers or downloaded as a portable executable.
Does gputaskman work on Mac?
The tool supports macOS with Apple Silicon GPUs. It requires Python 3.11 or newer and a compatible GPU configuration to function correctly.
What is gputaskman used for?
It is used to monitor local GPU activity, track per-process video memory usage, and analyze memory breakdowns for AI models, graphics rendering, and video processing tasks.
Is gputaskman open source?
Yes, the complete source code is publicly available on GitHub under an MIT license. Users can clone the repository or install it directly from PyPI.
Does gputaskman support cloud GPUs?
The website does not say. The tool explicitly focuses on local GPU workloads and does not cover cloud-based services, CPU-only setups, or NPU-only environments.
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