#Rocm
Showing 26 of 26 repositories tagged #rocm, ranked by stars
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Open Machine Learning Compiler Framework
NumPy & SciPy for GPU
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A deep learning package for many-body potential energy representation and molecular dynamics
Large-scale LLM inference engine
Open Source Continuous Inference Benchmark Research Platform — Kimi K2.7-Code, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3
Dockerfiles for the various software layers defined in the ROCm software platform
Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration.
RDNA-native LLM inference engine in Rust.
Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster
AMD's graph optimization engine.
Auto-tuned launcher for GGUF models on llama.cpp / ik_llama.cpp — OpenAI-compatible server with multi-GPU tensor-split, MoE expert placement, measured flag tuning (AI Tune), hardware-matched HuggingFace downloads, and crash recovery. An Ollama alternative for multi-GPU rigs.
AI-native IDE with agentic workflows, iPhone emulation on Windows/Linux, PyTorch ML Studio, and ROCm-optimized local AI. Built for security researchers and cross-platform developers.
AMD MIVisionX is a computer vision toolkit built around a highly optimized, conformant open-source implementation of the Khronos OpenVX™ 1.3 specification. As of the 4.0.0 release, MIVisionX ships three components: the AMD OpenVX™ engine, the AMD RPP OpenVX extension, and the RunVX graph executor — across CPU, HIP, and OpenCL backends.
Complete guide to running large language models locally on AMD Strix Halo / Ryzen AI MAX+ 395 with Radeon 8060S (gfx1151) and 96GB/128GB unified memory. Covers BIOS config, Ubuntu/kernel setup, Ollama, llama.cpp Vulkan/RADV, ROCm/HIP, vLLM, and 70B/120B GGUF evidence.
AMD ROCm Installation Guide on RX 6600 XT + TensorFlow and PyTorch
AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
Open source skill library for AI coding agents to write, optimize, and debug high performance compute kernels across CUDA, Triton, and quantized workloads.
hipDF - GPU DataFrame Library
PyTorch docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.