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UNIT · AMD · GPU
16 GB VRAMenthusiast·Reviewed May 2026

AMD Radeon RX 6950 XT

Refreshed 6900 XT with faster GDDR6 (576 GB/s). 16 GB VRAM, slightly more compute. ROCm officially supported. ~110-145 tok/s on 7B Q4. The bandwidth bump matters for inference; at $520-620 used it competes with used 3090 12GB on raw VRAM and beats it on bandwidth.

Released 2022·~$580 street·576 GB/s memory bandwidth
▼ CHECK CURRENT PRICE· 1 retailer

AMD Radeon RX 6950 XT

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RUNLOCALAI SCORE
See full leaderboard →
316/ 1000
CC-tier
Estimated
Throughput
167/ 500
VRAM-fit
140/ 200
Ecosystem
130/ 200
Efficiency
14/ 100

Extrapolated from 576 GB/s bandwidth — 57.6 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
Try other hardware →

Plain-English: Comfortable at 14B and below — snappy enough for a coding agent.

7B chat✓
Comfortable
14B chat✓
Comfortable
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✓
Comfortable
Vision (≤8B VLM)~
Tight
Long context (32K)✓
Comfortable
✓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
7.6/10

The RX 6950 XT is for the operator who needs 16 GB VRAM for 13B-30B models and wants inference speed that beats a used 3090, but doesn't need CUDA-exclusive software or multi-GPU scaling. It runs 7B Q4 at ~110-145 tok/s and 13B Q4 at ~60-80 tok/s, thanks to 576 GB/s bandwidth. 30B Q4 models fit in VRAM and run ~25-35 tok/s. What breaks: ROCm support is narrower than CUDA; some frameworks (e.g., vLLM, ExLlama) lack full ROCm optimization, and flash attention may be missing. Multi-GPU setups are harder to configure. When to pass: if the workload requires CUDA-only tools (e.g., TensorRT-LLM), or if 24 GB VRAM is needed for 34B+ models. At $520-620 used, this card offers better inference speed than a used 3090 for the same VRAM, but loses on software ecosystem breadth.

›Why this rating

Strong inference speed and 16 GB VRAM for under $600 make it a solid choice for local LLMs, but ROCm's narrower software support and lack of CUDA compatibility hold it back from a higher rating. It's a niche pick for operators who prioritize raw bandwidth and can work around ROCm limitations.

BLK · OVERVIEW

Overview

Refreshed 6900 XT with faster GDDR6 (576 GB/s). 16 GB VRAM, slightly more compute. ROCm officially supported. ~110-145 tok/s on 7B Q4. The bandwidth bump matters for inference; at $520-620 used it competes with used 3090 12GB on raw VRAM and beats it on bandwidth.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM16 GB
Power draw335 W
Released2022
MSRP$1099
Backends
ROCm
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 6950 XT with usable context.

Llama 3.1 8B Instruct
8B · llama
Qwen 3 8B
8B · qwen
Llama 3.2 3B Instruct
3B · llama
Qwen 2.5 7B Instruct
7B · qwen
DeepSeek R1 Distill Qwen 7B
7B · deepseek
Hermes 3 Llama 3.1 8B
8B · hermes
Gemma 4 E4B (Effective 4B)
4B · gemma
Qwen 3 4B
4B · qwen

Frequently asked

What models can AMD Radeon RX 6950 XT run?

With 16GB VRAM, the AMD Radeon RX 6950 XT runs models up to 14B in 4-bit, or 7B at higher quantizations. See the model list below for tested combinations.

Does AMD Radeon RX 6950 XT support CUDA?

No — AMD Radeon RX 6950 XT is an AMD card. Use ROCm (Linux) or the Vulkan backend in llama.cpp instead. CUDA-only tools won't work.

How much does AMD Radeon RX 6950 XT cost?

Current street price for AMD Radeon RX 6950 XT is around $580 (MSRP $1099). 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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Step up
More VRAM — bigger models, more context
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Step down
Less VRAM — cheaper, more constrained
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