Organizations — Tags: ROCm for GPU-Accelerated ML, HPC, and AI Infrastructure
Discover organizations tagged with ROCm that build and operate GPU-accelerated machine learning, high-performance computing (HPC), and AI infrastructure on AMD GPUs. This curated list surfaces companies, open-source teams, and research labs that integrate ROCm drivers, kernel modules, and ROCm-optimized frameworks (PyTorch, TensorFlow, ONNX Runtime) into production training and inference pipelines; use the filtering UI to narrow results by framework, hardware generation, benchmark performance, or contribution level. Learn how these organizations leverage ROCm for optimized driver stacks, mixed-precision training, multi-GPU scaling, custom kernels, and deployment tooling, with links to repos, technical docs, benchmark results, and partnership opportunities. Explore the list, apply filters to find ROCm-compatible organizations for collaboration, benchmarking, or hiring, and click through to view detailed profiles, code resources, and contact information.