{"slug": "show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking", "title": "Show HN: PantheonGPU – GPU health testing and AI workload benchmarking", "summary": "PantheonGPU 1.0.14, a GPU health testing and AI workload benchmarking tool, is now available as a Debian package and portable bundle for Linux. The tool tests GPU compute, memory, cache, interconnect, and power behavior, and automatically detects CUDA, ROCm/HIP, or mock mode. It is designed for users to run focused workloads, capture telemetry, and compare results over time.", "body_md": "# GPU stress testing and diagnostics\n\nPantheon tests GPU compute, memory, cache, interconnect, and power behavior. Run focused workloads, capture telemetry, and keep the results for comparison.\n\n## Quick Start\n\nThe Debian package is the simplest installation path for Ubuntu and Debian systems.\n\n### 1. Install prerequisites\n\nInstall the basic build tools:\n\n```\nsudo apt-get update\nsudo apt-get install -y make g++\n```\n\nThen install the compiler for your GPU platform. You only need one:\n\n```\nsudo apt-get install -y nvidia-cuda-toolkit\nsudo apt-get install -y hipcc\n```\n\n### 2. Install Pantheon\n\nDownload and install the latest Debian package:\n\n```\nVERSION=1.0.14\nwget \"https://github.com/saqibkh/pantheongpu_website/releases/download/v${VERSION}/pantheongpu_${VERSION}_amd64.deb\"\nsudo apt install \"./pantheongpu_${VERSION}_amd64.deb\"\n```\n\nTo uninstall the Debian package later:\n\n```\nsudo apt-get remove pantheongpu\n```\n\n### 3. Verify the installation\n\nRun a short hardware inventory test:\n\n```\npantheon --test baseline_metrics --duration 10\n```\n\nThen run a targeted stress test on GPU 0:\n\n```\npantheon --test fp64_virus --duration 30 --gpu 0\n```\n\nNote\n\nPantheon automatically detects CUDA, ROCm/HIP, or mock mode. Run the `pantheon`\n\ncommand directly; you do not need to pass `--platform cuda`\n\n.\n\n### Completely remove Pantheon\n\nThe native package command above removes Pantheon's package-managed files. To also remove runtime-created files and the current user's compiled workload cache, or to remove a portable installation on RHEL, Fedora, Rocky Linux, AlmaLinux, or another Linux distribution, run:\n\n```\ncurl -fsSL https://pantheongpu.com/uninstall.sh | sudo sh\n```\n\nThis leaves CUDA, ROCm, system compilers, and benchmark reports stored outside Pantheon's installation and cache directories untouched.\n\n## Alternative: install from the release bundle\n\nThe release bundle contains the Debian package and an `install.sh`\n\nhelper for\nRHEL-family and other Linux distributions.\n\n```\nVERSION=1.0.14\nwget \"https://github.com/saqibkh/pantheongpu_website/releases/download/v${VERSION}/pantheongpu_${VERSION}_amd64.tar.gz\"\ntar -xzf \"pantheongpu_${VERSION}_amd64.tar.gz\"\ncd \"pantheongpu_${VERSION}_amd64\"\nsudo apt install \"./packages/pantheongpu_${VERSION}_amd64.deb\"\n```\n\nUninstall a Debian package installation with:\n\n```\nsudo apt-get remove pantheongpu\n```\n\nOn RHEL-family and other Linux systems, install the portable bundle with\n`sudo ./install.sh`\n\n. Remove that installation with:\n\n```\nsudo rm -f /usr/local/bin/pantheon && sudo rm -rf /opt/pantheongpu\n```\n\nUse the complete-removal command above if you also want to clear the current user's compiled workload cache.\n\nBuild cache\n\nFirst-run workload builds are cached under\n`${XDG_CACHE_HOME:-$HOME/.cache}/pantheongpu/builds/`\n\n.\nSet `PANTHEON_BUILD_CACHE_DIR`\n\nto choose another writable cache directory.", "url": "https://wpnews.pro/news/show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking", "canonical_source": "https://pantheongpu.com/", "published_at": "2026-08-18 18:47:51+00:00", "updated_at": "2026-08-18 19:12:07.112621+00:00", "lang": "en", "topics": ["ai-infrastructure", "developer-tools"], "entities": ["PantheonGPU", "CUDA", "ROCm", "HIP"], "alternates": {"html": "https://wpnews.pro/news/show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking", "markdown": "https://wpnews.pro/news/show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking.md", "text": "https://wpnews.pro/news/show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking.txt", "jsonld": "https://wpnews.pro/news/show-hn-pantheongpu-gpu-health-testing-and-ai-workload-benchmarking.jsonld"}}