NVIDIA GeForce RTX 5080 — Local LLM Performance & Compatibility

Excellent mid-high range card. 16 GB VRAM runs all 13–14B models comfortably. 132 t/s on 8B models. Great value vs 5090 for most users.

Technical Specifications

VRAM16 GB
Memory Bandwidth960 GB/s
TDP360 W
ArchitectureBlackwell GB203
Release Year2025
MSRP at Launch$999
Inference Speed (Llama 3.1 8B Q4_K_M)~132 tokens/sec
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NVIDIA GeForce RTX 5080 16GB
首发建议零售价：$999
2026年价格波动较大——请以当前商品页价格为准。
在亚马逊查看价格

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
Llama 3.2 Family8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b
Qwen 310 GB VRAM · Q4_K_M · ollama run qwen3:14b
Qwen 3.56 GB VRAM · Q4_K_M · ollama run qwen3.5:9b
Gemma 38 GB VRAM · Q4_K_M · ollama run gemma3:12b
Gemma 48 GB VRAM · Q4_K_M · ollama run gemma4:12b
IBM Granite 4.16 GB VRAM · Q4_K_M · ollama run granite4.1:8b
Phi-4 Family9 GB VRAM · Q4_K_M · ollama run phi4

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 5080 run local LLMs?

Yes — the NVIDIA GeForce RTX 5080 has 16 GB VRAM and runs Excellent mid-high range card. 16 GB VRAM runs all 13–14B models comfortably. 132 t/s on 8B models. Great value vs 5090

How fast is the NVIDIA GeForce RTX 5080 for AI inference?

The NVIDIA GeForce RTX 5080 runs Llama 3.1 8B at ~132 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, Llama 3.2 Family, Qwen 3, Qwen 3.5, Gemma 3. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — NVIDIA GeForce RTX 5080

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VRAM Tier

Buying Guide

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