Who should use gpu-burn?

gpu-burn is an open-source project built for developers.

Yes — gpu-burn is open source under the MIT license and free to use.

What platforms does gpu-burn run on?

gpu-burn runs on the command line.

Is gpu-burn still active?

The GitHub repository shows 1 commit in the last 90 days.

Who develops gpu-burn?

gpu-burn is developed by cangtianhuang.

How long has gpu-burn been around?

gpu-burn first shipped in 2026.

Is gpu-burn open source?

Yes — gpu-burn is open source under the MIT license, developed on GitHub.

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gpu-burn

Name: gpu-burn
Author: cangtianhuang

PyPIInfrastructure

gpu-burn is a Python package that provides managed PaddlePaddle workloads to control and stress-test GPU compute utilization. It allows developers to burn GPU resources in a controlled manner for benchmarking, testing, or load simulation. Useful for machine learning engineers and infrastructure teams managing GPU clusters.

Open SourceMITCLI

Visit PyPI

Overview

3 features

gpu-burn is a Developer Tools project. It focuses on controlling and measuring GPU utilization during compute-intensive workloads and testing. gpu-burn is an open-source project aimed at developers. gpu-burn is open source under the MIT license. It runs on the command line.

Behind gpu-burn is cangtianhuang, and it first shipped in 2026. Development happens publicly on GitHub with 1 commit in the last 90 days. Key capabilities include GPU Stress Testing, Utilization Control, and PaddlePaddle Workload.

Summary written by a language model from the project’s public pages.

GPU Stress Testing
Utilization Control
PaddlePaddle Workload

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed24 Jul · 10:46 UTC
gpu-burn verified against its public source
Source: PulseGate · Open

Frequently asked questions about gpu-burn

What is gpu-burn?: Gpu-burn focuses on controlling and measuring GPU utilization during compute-intensive workloads and testing. It is catalogued under Developer Tools on PulseGate.
Who should use gpu-burn?: gpu-burn is an open-source project built for developers.
Is gpu-burn free?: Yes — gpu-burn is open source under the MIT license and free to use.
What platforms does gpu-burn run on?: gpu-burn runs on the command line.
Is gpu-burn still active?: The GitHub repository shows 1 commit in the last 90 days.
Who develops gpu-burn?: gpu-burn is developed by cangtianhuang.
How long has gpu-burn been around?: gpu-burn first shipped in 2026.
Is gpu-burn open source?: Yes — gpu-burn is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 24 Jul 2026
Built for: developers
Model: Open source
Solves: Controlling and measuring GPU utilization during compute-intensive workloads and testing.

Registered as

GitHub: cangtianhuang/gpu-burn
PyPI: gpu-burn

Developer

cangtianhuang

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 24 Jul 2026
Commits 90d: 1
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v2.2.1 · 24 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 24 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 24 Jul 2026

Identity audit (13)

Slug: gpu-burn-pypi-org
Lifecycle state recorded: 24 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 24 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 24 Jul 2026
Canonical URL: https://pypi.org/project/gpu-burn

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