AMD ROCm vs CUDA for Local AI: What Nobody Tells You About the Open-Source Alternative

AMD ROCm vs CUDA for Local AI: What Nobody Tells You About the Open-Source Alternative NVIDIA controls somewhere north of 80% of the AI training accelerator market, depending on whose estimate you believe. Jon Peddie Research pegged it at 88% for data center AI GPUs in late 2024. That kind of dominance isn't just impressive. It's a monoculture. And if you've been building anything in the AI space, you've felt the consequences: CUDA lock-in, GPU shortages, and pricing that assumes you have zero alternatives. Here's the thing nobody's saying about AMD though: ROCm has actually gotten good. Not "good for AMD" good. Actually good. I've been testing AMD's ROCm stack for local LLM inference over the past several months, and the 2026 experience is unrecognizable compared to even 18 months ago. Quick clarification if you searched for "OpenClaw" to get here, or you've seen that term floating around forums: there is no AMD product called OpenClaw. The platform you're looking for is ROCm — Radeon