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

LLMs Compatible with 8 GB VRAM

All models below run comfortably in 8 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 2.5 Family5 GB VRAM · Q4_K_M · ollama run qwen2.5:7b
Gemma 38 GB VRAM · Q4_K_M · ollama run gemma3:12b
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Familymistral
SmolLM21 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.

Compare Similar GPUs

Can I Run These Models on the NVIDIA GeForce RTX 5060 Ti 8GB?

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