PANTHEON
Cross-platform GPU stress testing, diagnostics, profiling, and performance benchmarks.
PANTHEON is a developer tools tool built by PANTHEON. It's best for GPU hardware developers and AI/ML researchers. Pricing is free.
Pricing
free
Audience
GPU hardware developers
Platforms
Community
0%
About PANTHEON
PANTHEON is a cross-platform software tool designed for GPU stress testing, diagnostics, profiling, and performance benchmarking on CUDA and ROCm enabled hardware.
PANTHEON provides comprehensive GPU stress testing and diagnostics capabilities, allowing users to test GPU compute, memory, cache, interconnect, and power behavior. It offers 45 focused stress tests, supporting both NVIDIA CUDA and AMD ROCm platforms.
The software enables users to run specific workloads, capture telemetry data, and retain results for comparison. It includes a variety of 'viruses' targeting different GPU components such as Core & Compute (e.g., Omni Virus, Tensor Virus, FP64 Chokehold), Fixed-Function & Accelerators (e.g., RT Virus, Media Encoder Virus), Memory & Cache (e.g., Atomic Virus, Memory Bank Thrasher), and Interconnect & Architecture (e.g., P2P Thrasher, PCIe Thrasher).
Beyond stress testing, PANTHEON also supports AI & ML specific workloads, including LLM Decode, LLM Prefill, KV Cache Churn, Fused Attention, RoPE Stress, Quantized GEMM, Serving Mix, Speculative Decode, MoE Router, Transformer Train Step, Allocation Fragmentation, Graph Replay, RAG Embedding, and Vision Encoder. It provides local reports with exportable telemetry and offers a Performance Database for live benchmarks, comparisons, and methodology details. Installation is straightforward, with Debian packages for Ubuntu/Debian and release bundles for other Linux distributions.
Key Features
Pricing
freePANTHEON appears to be a free, open-source tool, with downloads available directly from GitHub releases. No explicit pricing tiers or subscription models are mentioned on the website.
Who is it for?
Best for
- Diagnosing GPU stability issues
- Benchmarking GPU performance across different hardware
- Profiling GPU behavior under specific workloads
- Testing AI/ML model performance on various GPUs
- Research and development of GPU-accelerated applications
Not ideal for
- Users seeking a GUI-based, non-technical solution for GPU monitoring
- General consumer-level GPU benchmarking without technical expertise
- Operating systems other than Linux
Community Discussion
No discussions yet. Be the first to share your experience!