NVIDIA GeForce RTX 4080 — Local LLM Performance & Compatibility

16 GB VRAM equivalent to 4080 Super in model compatibility. Strong for 7–14B models.

Technical Specifications

VRAM16 GB
Memory Bandwidth717 GB/s
TDP320 W
ArchitectureAda Lovelace AD103
Release Year2022
MSRP at Launch$1,199
Inference Speed (Llama 3.1 8B Q4_K_M)~105 tokens/sec
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NVIDIA GeForce RTX 4080 16GB
首发建议零售价:$1,199
2026年价格波动较大——请以当前商品页价格为准。
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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 38 GB VRAM · Q4_K_M · ollama run gemma3:12b
Phi-4 Family9 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 Mini3 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family15 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R19 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b
Qwen 2.5 Family9 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 NVIDIA GeForce RTX 4080 run local LLMs?

Yes — the NVIDIA GeForce RTX 4080 has 16 GB VRAM and runs 16 GB VRAM equivalent to 4080 Super in model compatibility. Strong for 7–14B models.

How fast is the NVIDIA GeForce RTX 4080 for AI inference?

The NVIDIA GeForce RTX 4080 runs Llama 3.1 8B at ~105 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.

Can I Run It? — NVIDIA GeForce RTX 4080

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