AMD Radeon RX 9070 — Local LLM Performance & Compatibility

Same Navi 48 chip and 16 GB VRAM as the 9070 XT but with lower clocks and bandwidth (640 GB/s). Still handles all 13–14B models comfortably via ROCm or Vulkan.

Technical Specifications

VRAM16 GB
Memory Bandwidth640 GB/s
TDP220 W
ArchitectureRDNA 4 Navi 48
Release Year2025
MSRP at Launch$549
Inference Speed (Llama 3.1 8B Q4_K_M)~82 tokens/sec

LLMs Compatible with 16 GB VRAM

All models below run comfortably in 16 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Qwen 310 GB VRAM · Q4_K_M · ollama run qwen3:14b
Gemma 316 GB VRAM · Q4_K_M · ollama run gemma3:27b
Phi-4 Family10 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family16 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R110 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b
Qwen 2.5 Family10 GB VRAM · Q4_K_M · ollama run qwen2.5:14b

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the AMD Radeon RX 9070 run local LLMs?

Yes — the AMD Radeon RX 9070 has 16 GB VRAM and runs Same Navi 48 chip and 16 GB VRAM as the 9070 XT but with lower clocks and bandwidth (640 GB/s). Still handles all 13–14B

How fast is the AMD Radeon RX 9070 for AI inference?

The AMD Radeon RX 9070 runs Llama 3.1 8B at ~82 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 16 GB VRAM?

With 16 GB you can run: Llama 3.1 Family, Qwen 3, Gemma 3, Phi-4 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run qwen3:14b.

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