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

AMD Radeon RX 5500 XT 8GB

RDNA 1 entry. 8 GB GDDR6 at 224 GB/s. ROCm support was always experimental on RDNA 1 and is effectively defunct in 2026 — Vulkan via llama.cpp is the only operator-grade path. Performance ~12-22 tok/s on 7B Q4. Buy this card for AI? No. Have one already and want to tinker? Yes, with limits.

Released 2019·~$110 street·224 GB/s memory bandwidth
RUNLOCALAI SCORE
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167/ 1000
DD-tier
Estimated
Throughput
65/ 500
VRAM-fit
80/ 200
Ecosystem
80/ 200
Efficiency
14/ 100

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

WORKLOAD FIT
Try other hardware →

Plain-English: Edge-of-fit for 7B; expect compromises.

7B chat~
Tight
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)△
Marginal
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
3.5/10

This card is for the tinkerer who already owns one and wants to see what local AI looks like on a budget, not for anyone buying hardware specifically for inference. On a 7B Q4 model, expect ~12-22 tok/s via Vulkan in llama.cpp—usable for chat but not real-time. The 8 GB VRAM can run 13B models at Q4 with tight context, but performance drops to ~8-12 tok/s. ROCm support is effectively dead on RDNA 1, so Vulkan is the only path; no CUDA, no official ROCm. Pass if you're buying new—an RX 6600 or used RTX 3060 12GB offers far better performance and software support for a small premium. At ~$110 used, it's a curiosity, not a workhorse.

›Why this rating

The RX 5500 XT's limited VRAM and defunct ROCm support severely constrain its local AI utility. It's only viable for lightweight models via Vulkan, and even then performance is low. The rating reflects its status as a budget curiosity, not a practical inference card.

BLK · OVERVIEW

Overview

RDNA 1 entry. 8 GB GDDR6 at 224 GB/s. ROCm support was always experimental on RDNA 1 and is effectively defunct in 2026 — Vulkan via llama.cpp is the only operator-grade path. Performance ~12-22 tok/s on 7B Q4. Buy this card for AI? No. Have one already and want to tinker? Yes, with limits.

Retailers we'd check:Amazon

Search-fallback links. Editorial hasn't yet curated retailer URLs for this card. Approx. $110.

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

BLK · SPECS

Specs

VRAM8 GB
Power draw130 W
Released2019
MSRP$199
Backends
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 5500 XT 8GB with usable context.

Llama 3.2 3B Instruct
3B · llama
Gemma 4 E4B (Effective 4B)
4B · gemma
Qwen 3 4B
4B · qwen
Phi-3.5 Mini Instruct
3.8B · phi
Llama 3.2 1B Instruct
1B · llama
Gemma 3 4B
4B · gemma
Gemma 4 E2B (Effective 2B)
2B · gemma
Phi-3.5 Vision
4.2B · phi

Frequently asked

What models can AMD Radeon RX 5500 XT 8GB run?

With 8GB VRAM, the AMD Radeon RX 5500 XT 8GB runs 7B models comfortably in Q4 quantization. See the model list below for tested combinations.

Does AMD Radeon RX 5500 XT 8GB support CUDA?

AMD Radeon RX 5500 XT 8GB does not support CUDA. Use Vulkan-compatible tools (llama.cpp Vulkan backend) or check vendor-specific runtimes.

How much does AMD Radeon RX 5500 XT 8GB cost?

Current street price for AMD Radeon RX 5500 XT 8GB is around $110 (MSRP $199). 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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OP·Fredoline Eruo
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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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