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AMD · RX 9000
AMD Radeon RX 9070
$470$449 MSRP
The AMD Radeon RX 9070 delivers strong 1440p and entry-level 4K gaming performance with 16GB of GDDR6 memory at an attractive price. It offers more VRAM than competing NVIDIA cards at this price point. For pure gaming on a budget, it is hard to beat. Not recommended for AI workloads due to the lack of CUDA support.
Best ForBudget 1440p/4K gaming with 16GB VRAM
VerdictBest gaming value under — but NVIDIA-only for AI work.
AI
3/10
Gaming
7/10
Specifications
VRAM16GB GDDR6
Memory Bandwidth608 GB/s
Stream Processors3,584
Boost Clock2614 MHz
TDP250W
Power Connector2x 8-pin
Length267mm
Form FactorDual Slot
Release Year2025
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 608 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?
Llama 3.1 8B8B
FP16~15-19 tok/sUsableQwen 2.5 32B32B
Offload~1-3 tok/sVery slowQwen 2.5 14B14B
Q8~18-23 tok/sUsableMistral 7B7B
FP16~17-21 tok/sUsableCodestral 22B22B
Q4~21-26 tok/sUsableQwen 2.5 Coder 32B32B
Offload~1-3 tok/sVery slowPros
- +Great value for gaming
- +16GB VRAM
- +Lower power than XT
Cons
- -No CUDA for AI
- -FSR not as refined as DLSS
- -Limited ray tracing
gamingbudget