Amd

TL;DR Running Llama models on AMD GPUs requires ROCm-specific optimizations that differ significantly from NVIDIA CUDA workflows. This guide covers the complete setup for self-hosting Llama 2, Llama 3, and Code Llama variants on AMD hardware using ROCm 6.0+, with focus on memory management, compilation flags, and performance tuning that existing NVIDIA guides do not address. ...

Running Local LLMs on AMD GPUs with ROCm and Ollama TL;DR AMD GPUs are a viable alternative to NVIDIA for local LLM inference, particularly the RX 7900 XTX with 24GB VRAM. ROCm 6.x on Linux provides the software stack needed to run Ollama and llama.cpp with GPU acceleration. Performance is 15-30% lower than equivalent NVIDIA hardware, but AMD cards often cost significantly less. ...