NVIDIA GeForce RTX 3080 (10GB) — Local LLM Performance & Compatibility

10 GB VRAM limits to 8B models but with very fast bandwidth. The 12GB variant (RTX 3080 Ti / 3080 12GB) is significantly better for AI.

Technical Specifications

VRAM10 GB
Memory Bandwidth760 GB/s
TDP320 W
ArchitectureAmpere GA102
Release Year2020
MSRP at Launch$699
Inference Speed (Llama 3.1 8B Q4_K_M)~72 tokens/sec
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NVIDIA GeForce RTX 3080 10GB
首发建议零售价：$699
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LLMs Compatible with 10 GB VRAM

All models below run comfortably in 10 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Qwen 2.5 Family9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b
Gemma 2 Family6 GB VRAM · Q4_K_M · ollama run gemma2
Phi-4 Mini3 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family8 GB VRAM · Q4_K_M · ollama run mistral-nemo
SmolLM21 GB VRAM · Q4_K_M · ollama run smollm2:360m

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the NVIDIA GeForce RTX 3080 (10GB) run local LLMs?

Yes — the NVIDIA GeForce RTX 3080 (10GB) has 10 GB VRAM and runs 10 GB VRAM limits to 8B models but with very fast bandwidth. The 12GB variant (RTX 3080 Ti / 3080 12GB) is significantly

How fast is the NVIDIA GeForce RTX 3080 (10GB) for AI inference?

The NVIDIA GeForce RTX 3080 (10GB) runs Llama 3.1 8B at ~72 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 10 GB VRAM?

With 10 GB you can run: Llama 3.1 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini, Mistral Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 3080 (10GB)

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