wilicc/gpu-burn

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2322 stars · 418 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GPU Burn is a multi-GPU CUDA stress test tool that pushes NVIDIA GPUs to maximum load for stability and thermal testing. It supports configurable memory usage, double precision, tensor cores, and Docker-based deployment.

Use cases

• stress test my gpus under full load
• check gpu stability after overclocking
• burn-in test for a new multi-gpu server
• verify gpu cooling and thermals under load
• test tensor core performance on nvidia gpus
• load test all cuda devices in a system

When to choose

• you need to stress test NVIDIA CUDA GPUs, especially multiple GPUs at once
• you want a simple CLI burn-in tool with Docker support
• you're validating GPU stability, cooling, or power delivery

When to avoid

• you need to benchmark AMD or Intel GPUs (CUDA-only)
• you want detailed performance metrics or profiling rather than pure stress load
• you need a GUI-based testing tool

Facets

cli-tool · maturity active

benchmarking gpu-computing cli developer-tools hardware performance cli cpp cuda stress-testing multi-gpu nvidia hardware-testing linux docker gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="wilicc/gpu-burn")