AMD narrows the local AI gap, but Nvidia remains easier

Nvidia remains the simplest choice for local AI, with mature CUDA support across major tools and stronger long-context capabilities. AMD’s ROCm has become a viable alternative for mainstream models, particularly for Linux users seeking more VRAM per dollar, but compatibility and setup still depend on the hardware.

ROCm 7.2 introduced official RDNA 4 support and a single installer for Windows and Linux, with support across Ollama, LM Studio, llama.cpp and vLLM. The newer ROCm 10.1 lists the RX 9070 and RX 9070 XT. Despite broader platform support, AMD’s most reliable experience remains concentrated on supported cards, including the RX 7900 XTX and RX 9070.

Community-submitted llama.cpp benchmarks show the RX 7900 XTX generating about 167 tokens/second on ROCm and 183 on Vulkan, approaching RTX 4090 generation speeds. Prompt processing remains a substantial weakness: about 3,550 tokens/second compared with the Nvidia card’s 12,000 on CUDA. That gap matters more for long prompts and large documents than conversational replies. Radeon offers value for users comfortable managing compatibility, while GeForce remains the safer option for Windows, experimental workloads and demanding long-context tasks.