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AMD · RX 7000
AMD Radeon RX 7900 GRE
$480$549 MSRP
The AMD Radeon RX 7900 GRE (Golden Rabbit Edition) offers 16GB of GDDR6 at an excellent price point. It handles 1440p and entry-level 4K gaming well. Originally an Asia-only release, it became available globally and undercuts competing NVIDIA cards. Gaming only — no practical AI use due to CUDA dependency.
Best ForValue-oriented 1440p/4K gaming
VerdictOne of the best gaming values if you find it in stock.
AI
3/10
Gaming
8/10
Specifications
VRAM16GB GDDR6
Memory Bandwidth576 GB/s
Stream Processors5,120
Boost Clock2245 MHz
TDP260W
Power Connector2x 8-pin
Length267mm
Form FactorDual Slot
Release Year2024
AI Capabilities
Capable16GB VRAM
Runs most popular models with quantization. The minimum for serious AI work.
No CUDA — most AI frameworks run best on NVIDIA. ROCm support is improving but not all models/tools work.
Can run (Q4 quantized)
Llama 3.1 8BQwen 2.5 14BMistral 7BFLUX.1 DevStable Diffusion XLStable Diffusion 3.5 LargeHunyuanVideoCogVideoX-5BMochi 1LTX VideoStable Video DiffusionWan Video 14BCodestral 22BAlphaFold 2ESMFold (ESM-2 15B)ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRATrain FLUX LoRA
Tight fit (may need CPU offload)
Qwen 2.5 32B (20GB Q4)Qwen 2.5 Coder 32B (20GB Q4)LLaVA 1.6 34B (20GB Q4)
Recommended system RAM for AI: 32GB+ (2x GPU VRAM for model overflow)
Performance Estimates
Estimated tokens/sec for LLM inference based on 576 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?
Llama 3.1 8B8B
FP16~13-16 tok/sSlowQwen 2.5 32B32B
Offload~1-3 tok/sVery slowQwen 2.5 14B14B
Q8~16-20 tok/sUsableMistral 7B7B
FP16~15-19 tok/sUsableCodestral 22B22B
Q4~18-22 tok/sUsableQwen 2.5 Coder 32B32B
Offload~1-3 tok/sVery slowPros
- +Great value
- +16GB VRAM
- +Good 1440p/4K card
Cons
- -No CUDA
- -Limited availability initially
- -Weaker RT
gaming