NVIDIA GeForce RTX 5060 Ti 16GB — Local LLM Performance & Compatibility

The most affordable 16 GB Blackwell card. 180W TDP keeps power draw low while fitting all 13–14B models comfortably.

Technical Specifications

VRAM16 GB
Memory Bandwidth448 GB/s
TDP180 W
ArchitectureBlackwell GB206
Release Year2025
MSRP at Launch$429
Inference Speed (Llama 3.1 8B Q4_K_M)~75 tokens/sec

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 316 GB VRAM · Q4_K_M · ollama run gemma3:27b
Phi-4 Family10 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family16 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R110 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b
Qwen 2.5 Family10 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 5060 Ti 16GB run local LLMs?

Yes — the NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB VRAM and runs The most affordable 16 GB Blackwell card. 180W TDP keeps power draw low while fitting all 13–14B models comfortably.

How fast is the NVIDIA GeForce RTX 5060 Ti 16GB for AI inference?

The NVIDIA GeForce RTX 5060 Ti 16GB runs Llama 3.1 8B at ~75 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.

Compare Similar GPUs

Can I Run These Models on the NVIDIA GeForce RTX 5060 Ti 16GB?

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