UNIT · AMD · GPU
12 GB VRAMhighReviewed June 2026

AMD Radeon RX 9070 GRE

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

The 12GB member of AMD's RDNA4 desktop line, now a global SKU ($549) after a year as a China-only 'Golden Rabbit Edition'. Navi 48, 48 CUs, 192-bit, 432 GB/s, 220W. Sits between the 5060 Ti 16GB and 5070 that buyers cross-shop it against.

Released 2026·432 GB/s memory bandwidth
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AMD Radeon RX 9070 GRE

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RUNLOCALAI SCORE
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267/ 1000
DD-tier
Estimated
Throughput
125/ 500
VRAM-fit
110/ 200
Ecosystem
130/ 200
Efficiency
16/ 100

Sub-scores sum to 381 / 1000. Headline = 381 × 0.70 (Estimated-confidence discount) = 267. 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 432 GB/s bandwidth — 43.2 tok/s estimated. No measured benchmarks yet.

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)~
Tight
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 · Eruo Fredoline|VERIFIED JUN 18, 2026
7.0/10

What it does well

The RX 9070 GRE rounds out AMD's RDNA4 desktop lineup with a 12GB option at $549. RDNA4's improved AI throughput and solid 432 GB/s bandwidth make it a capable 7-13B LLM card, and ROCm support on RDNA4 has matured to where llama.cpp (HIP/Vulkan) and Ollama work well on Linux. For raster gaming plus occasional local AI it's a reasonable dual-purpose card, and the price undercuts NVIDIA's 12GB tier.

Where it struggles

12GB is mid-pack and an awkward middle for local AI: more than the VRAM-starved 8GB cards but short of the 16GB you'd want for comfortable 13B+ work — and the directly-comparable RTX 5060 Ti 16GB and RX 9060 XT 16GB give you 4GB more for similar money. AMD's software story, while much better than it was, still trails CUDA on Windows specifically (ROCm is Linux-first) and on day-one support for new model architectures. The 'GRE' positioning is also a bit redundant next to the 9070 and 9070 XT.

Bottom line

A fine ROCm/Vulkan card for 7-13B LLMs and gaming, but the 12GB capacity is its limiting factor for local AI — a 16GB card (9060 XT 16GB or 5060 Ti 16GB) is usually the smarter buy at this price. Pick the GRE if you specifically want this performance tier and run Linux.

BLK · OVERVIEW

Overview

The 12GB member of AMD's RDNA4 desktop line, now a global SKU ($549) after a year as a China-only 'Golden Rabbit Edition'. Navi 48, 48 CUs, 192-bit, 432 GB/s, 220W. Sits between the 5060 Ti 16GB and 5070 that buyers cross-shop it against.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM12 GB
Power draw (peak)220 W
Released2026
MSRP$549
Backends
ROCm
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 9070 GRE with usable context.

Compare alternatives

Hardware worth comparing

The closest alternatives by price, memory bandwidth, and form factor, plus a step up and down — so you can frame the buying decision against real options.

Frequently asked

What models can AMD Radeon RX 9070 GRE run?

With 12GB VRAM, the AMD Radeon RX 9070 GRE 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 9070 GRE support CUDA?

No — AMD Radeon RX 9070 GRE is an AMD card. Use ROCm (Linux) or the Vulkan backend in llama.cpp instead. CUDA-only tools won't work.

Where next?

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