AMD Radeon RX 570
No editorial image yet — generic vendor mark shown. Credentials in spec table below.
Cut-down RX 580 with 4 GB VRAM. Below the practical AI floor; 1-3B Q4 with offload at best. ROCm was never supported on Polaris in any production build; Vulkan via llama.cpp is the only path. Included for the 'I have one in my closet' audience — the answer is almost always 'try CPU offload first or upgrade.'
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Sub-scores sum to 187 / 1000. Headline = 187 × 0.70 (Estimated-confidence discount) = 131. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 224 GB/s bandwidth — 22.4 tok/s estimated. No measured benchmarks yet.
Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
This card is for the operator who already owns one and wants to see if it can run anything before upgrading. It is not a purchase recommendation. On a 1-3B Q4 model (1-2 GB weights), expect ~30-50 tok/s via Vulkan in llama.cpp. A 7B Q4 model will not fit in 4 GB VRAM; offloading partial layers yields single-digit tok/s, making it unusable. ROCm is absent, CUDA is absent, and the Vulkan path is the only option. Pass on this card for any serious local AI work. If you have one, try CPU offload or upgrade to an 8 GB card. At $60 used, it is cheap but still not worth it for AI—spend the money on an RX 580 8 GB instead.
›Why this rating
The 4 GB VRAM and lack of ROCm/CUDA make this card nearly useless for local AI. Only tiny models run, and even then the Vulkan-only path is fragile. The rating reflects its status as a relic, not a tool.
Overview
Cut-down RX 580 with 4 GB VRAM. Below the practical AI floor; 1-3B Q4 with offload at best. ROCm was never supported on Polaris in any production build; Vulkan via llama.cpp is the only path. Included for the 'I have one in my closet' audience — the answer is almost always 'try CPU offload first or upgrade.'
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Specs
| VRAM | 4 GB |
| Power draw (peak) | 150 W |
| Released | 2017 |
| MSRP | $169 |
| Backends | Vulkan |
Models that fit
Open-weight models small enough to run on AMD Radeon RX 570 with usable context.
Frequently asked
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Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.