NVIDIA GeForce RTX 5060 Ti 8GB — Local LLM Performance & Compatibility

Same GB206 chip and 448 GB/s bandwidth as the 16GB variant, but 8 GB VRAM limits it to 7–8B models in Q4. The cheaper of the two RTX 5060 Ti configurations.

Technical Specifications

VRAM8 GB
Memory Bandwidth448 GB/s
TDP180 W
ArchitectureBlackwell GB206
Release Year2025
MSRP at Launch$379
Inference Speed (Llama 3.1 8B Q4_K_M)~75 tokens/sec
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NVIDIA GeForce RTX 5060 Ti 8GB
首发建议零售价:$379
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 8 GB VRAM

All models below run comfortably in 8 GB VRAM with Q4_K_M quantization.

Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.2 FamilyLlama 3.2 11B Vision Instruct · 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b
Qwen 2.5 FamilyQwen 2.5 7B Instruct · 5 GB VRAM · Q4_K_M · ollama run qwen2.5:7b
Gemma 3Gemma 3 4B Instruct · 3 GB VRAM · Q4_K_M · ollama run gemma3:4b
Phi-4 MiniPhi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini
SmolLM2SmolLM2 1.7B Instruct · 1 GB VRAM · Q4_K_M · ollama run smollm2:1.7b

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 5060 Ti 8GB run local LLMs?

Yes — the NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB VRAM and runs Same GB206 chip and 448 GB/s bandwidth as the 16GB variant, but 8 GB VRAM limits it to 7–8B models in Q4. The cheaper of

How fast is the NVIDIA GeForce RTX 5060 Ti 8GB for AI inference?

The NVIDIA GeForce RTX 5060 Ti 8GB runs Llama 3.1 8B at ~75 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 8 GB VRAM?

With 8 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 3, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 5060 Ti 8GB

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