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UNIT · AMD · GPU
4 GB VRAMentry·Reviewed May 2026

AMD Radeon RX 570

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.'

Released 2017·~$60 street·224 GB/s memory bandwidth
RUNLOCALAI SCORE
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131/ 1000
DD-tier
Estimated
Throughput
65/ 500
VRAM-fit
30/ 200
Ecosystem
80/ 200
Efficiency
12/ 100

Extrapolated from 224 GB/s bandwidth — 22.4 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
Try other hardware →

Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.

7B chat✗
Doesn't fit
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)✗
Doesn't fit
Long context (32K)✗
Doesn't fit
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

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.

BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 10, 2026
1.0/10

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.

BLK · OVERVIEW

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.'

Retailers we'd check:Amazon

Search-fallback links. Editorial hasn't yet curated retailer URLs for this card. Approx. $60.

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

BLK · SPECS

Specs

VRAM4 GB
Power draw150 W
Released2017
MSRP$169
Backends
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 570 with usable context.

Llama 3.2 1B Instruct
1B · llama
Gemma 4 E2B (Effective 2B)
2B · gemma
Gemma 3 1B
1B · gemma
Qwen 2.5 Coder 1.5B
1.5B · qwen
Moondream 2
1.9B · other
RWKV 7 'Goose' 1.5B
1.5B · rwkv
DeepSeek R1 Distill Qwen 1.5B
1.5B · deepseek
Granite 3.0 2B Instruct
2B · granite

Frequently asked

What models can AMD Radeon RX 570 run?

With 4GB VRAM, the AMD Radeon RX 570 runs small models (3B and under) at modest quantization. See the model list below for tested combinations.

Does AMD Radeon RX 570 support CUDA?

AMD Radeon RX 570 does not support CUDA. Use Vulkan-compatible tools (llama.cpp Vulkan backend) or check vendor-specific runtimes.

How much does AMD Radeon RX 570 cost?

Current street price for AMD Radeon RX 570 is around $60 (MSRP $169). Prices vary by region and supply.

Where next?

Buyer guides
  • Best GPU for local AI →
  • Best laptop for local AI →
  • Best Mac for local AI →
  • Best used GPU for local AI →
Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.

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DISCLOSURE

Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
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