gpumod
gpumod is an open-source command-line tool for managing GPU services tailored to machine learning workloads. It supports integration with tools like llama-cpp and vllm, helping ML engineers efficiently allocate and monitor GPU resources.
Overview
5 featuresgpumod is an Inference & model serving project. It focuses on managing GPU resources and services for machine learning workloads efficiently. gpumod is an open-source project aimed at ML engineers and researchers. The project is open source (Apache-2.0). It ships for the command line, and it can be self-hosted.
jaigouk builds and maintains gpumod, and it first shipped in 2026. Development happens publicly on GitHub with 13 stars and 111 commits in the last 90 days. Key capabilities include GPU service management, ML workload support, and llama-cpp integration.
Summary written by a language model from the project’s public pages.
- GPU service management
- ML workload support
- llama-cpp integration
- vllm support
- Command-line interface
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about gpumod
- What does gpumod do?
- Gpumod focuses on managing GPU resources and services for machine learning workloads efficiently. It is catalogued under Inference & model serving on PulseGate.
- Who should use gpumod?
- gpumod is an open-source project built for ML engineers and researchers.
- Is gpumod free?
- Yes — gpumod is open source under the Apache-2.0 license and free to use.
- What platforms does gpumod run on?
- gpumod runs on the command line. It can also be self-hosted.
- Is gpumod still maintained?
- The GitHub repository shows 111 commits in the last 90 days.
- Who makes gpumod?
- gpumod is developed by jaigouk.
- When did gpumod launch?
- gpumod first shipped in 2026.
- Is gpumod open source?
- Yes — gpumod is open source under the Apache-2.0 license, developed on GitHub.
Similar projects
Closest matches by what these projects do