RUNLOCALAIv38
→WILL IT RUNBEST GPUCOMPARETROUBLESHOOTSTARTPULSEMODELSHARDWARETOOLSBENCH
RUNLOCALAI

Operator-grade instrument for local-AI hardware intelligence. Hand-written verdicts. Real benchmarks. Reproducible commands.

OP·Fredoline Eruo
DIR
  • Models
  • Hardware
  • Tools
  • Benchmarks
  • Will it run?
GUIDES
  • Best GPU
  • Best laptop
  • Best Mac
  • Best used GPU
  • Best budget GPU
  • Best GPU for Ollama
  • Best GPU for SD
  • AI PC build $2K
  • CUDA vs ROCm
  • 16 vs 24 GB
  • Compare hardware
  • Custom compare
REF
  • Systems
  • Ecosystem maps
  • Pillar guides
  • Methodology
  • Glossary
  • Errors KB
  • Troubleshooting
  • Resources
  • Public API
EDITOR
  • About
  • About the author
  • Changelog
  • Latest
  • Updates
  • Submit benchmark
  • Send feedback
  • Trust
  • Editorial policy
  • How we make money
  • Contact
LEGAL
  • Privacy
  • Terms
  • Sitemap
MAIL · MONTHLY DIGEST
Get monthly local AI changes
Monthly recap. No spam.
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
  1. >
  2. Home
  3. /Hardware
  4. /AMD Radeon RX 7900 GRE
UNIT · AMD · GPU
16 GB VRAMhigh·Reviewed May 2026

AMD Radeon RX 7900 GRE

RDNA 3 'Golden Rabbit Edition' — 16 GB at 576 GB/s, between the 6800 XT and 7900 XT. ROCm officially supported. The current AMD value choice in the $500-600 tier. Comfortable for any 7B/13B model + 32B Q4 with light offload. ~110-145 tok/s on 7B Q4.

Released 2024·~$549 street·576 GB/s memory bandwidth
▼ CHECK CURRENT PRICE· 1 retailer

AMD Radeon RX 7900 GRE

Check on Amazon→

Affiliate disclosure: as an Amazon Associate and partner of other retailers, we earn from qualifying purchases. The verdict on this page is our editorial opinion; affiliate links never influence what we recommend.

RUNLOCALAI SCORE
See full leaderboard →
319/ 1000
CC-tier
Estimated
Throughput
167/ 500
VRAM-fit
140/ 200
Ecosystem
130/ 200
Efficiency
18/ 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
7.9/10

This card is for the operator who wants a single-GPU rig that handles 7B and 13B models at full speed, with room to run 32B Q4 with partial offload, all without fighting ROCm compatibility. At 576 GB/s, the 7900 GRE delivers 110-145 tok/s on 7B Q4 and ~60-80 tok/s on 13B Q4, making it one of the fastest options for those sizes. The 16 GB VRAM is the hard ceiling: 32B Q4 (18 GB) requires offloading layers to system RAM, dropping to ~15-25 tok/s depending on CPU/RAM speed. 70B models are out of reach. ROCm support is official, but operators should expect occasional driver quirks and slower PyTorch kernel tuning compared to CUDA. Pass on this card if 32B+ models at full inference speed are the primary workload, or if the budget allows stretching to a used 7900 XTX (24 GB) for ~$100 more. At $549 street price, the 7900 GRE is the current AMD value king for local AI, offering the best price-to-performance ratio for 7B-13B workloads.

›Why this rating

The 7900 GRE earns an 8.5 for delivering excellent throughput on 7B and 13B models at a competitive price, with official ROCm support. It loses points due to the 16 GB VRAM ceiling limiting larger model viability and the ongoing software maturity gap versus NVIDIA.

BLK · OVERVIEW

Overview

RDNA 3 'Golden Rabbit Edition' — 16 GB at 576 GB/s, between the 6800 XT and 7900 XT. ROCm officially supported. The current AMD value choice in the $500-600 tier. Comfortable for any 7B/13B model + 32B Q4 with light offload. ~110-145 tok/s on 7B Q4.

Retailers we'd check:Amazon

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

BLK · SPECS

Specs

VRAM16 GB
Power draw260 W
Released2024
MSRP$549
Backends
ROCm
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 7900 GRE 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 7900 GRE run?

With 16GB VRAM, the AMD Radeon RX 7900 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 7900 GRE support CUDA?

No — AMD Radeon RX 7900 GRE 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 7900 GRE cost?

Current street price for AMD Radeon RX 7900 GRE is around $549 (MSRP $549). 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.

Compare alternatives

Hardware worth comparing

Same VRAM tier and the one step above and below — so you can frame the buying decision against real options.

Same VRAM tier
Cards in the same memory band
  • AMD Radeon RX 6950 XT
    amd · 16 GB VRAM
    7.6/10
  • NVIDIA GeForce RTX 4080 Super
    nvidia · 16 GB VRAM
    8.1/10
  • NVIDIA GeForce RTX 3070 Ti
    nvidia · 8 GB VRAM
    5.0/10
  • NVIDIA GeForce RTX 2080 Ti
    nvidia · 11 GB VRAM
    6.6/10
  • AMD Radeon RX 6900 XT
    amd · 16 GB VRAM
    7.3/10
  • Intel Arc A770 16GB
    intel · 16 GB VRAM
    6.5/10
Step up
More VRAM — bigger models, more context
  • AMD Radeon RX 6950 XT
    amd · 16 GB VRAM
    7.6/10
  • NVIDIA GeForce RTX 4080 Super
    nvidia · 16 GB VRAM
    8.1/10
  • NVIDIA GeForce RTX 2080 Ti
    nvidia · 11 GB VRAM
    6.6/10
Step down
Less VRAM — cheaper, more constrained
  • NVIDIA GeForce RTX 3070 Ti
    nvidia · 8 GB VRAM
    5.0/10
  • AMD Radeon RX 6750 XT
    amd · 12 GB VRAM
    7.1/10
  • Intel Arc A770 16GB
    intel · 16 GB VRAM
    6.5/10