NVIDIA GeForce RTX 4060 — Local LLM Performance & Compatibility

Written by Jakub Rusinowski · Last updated July 12, 2026

Great entry-level AI GPU. 8 GB VRAM is enough for any 7–8B model in Q4 quantization. Only 115W TDP makes it ideal for always-on AI servers.

Technical Specifications

VRAM8 GB
Memory Bandwidth272 GB/s
TDP115 W
ArchitectureAda Lovelace AD107
Release Year2023
MSRP at Launch$299
Inference Speed (Llama 3.1 8B Q4_K_M)29–56 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)Does not fit — needs ~44 GB of 8 GB usable
Buy This HardwareNVIDIA GeForce RTX 4060 8GB — 8 GB VRAM · 115 W board powerDeploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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NVIDIA GeForce RTX 4060 8GB
8 GB VRAM · 115 W board power
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LLMs Compatible with 8 GB VRAM

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

Llama 3.2 FamilyLlama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
Qwen 2.5 FamilyQwen 2.5 7B Instruct · 5 GB VRAM · Q4_K_M · ollama run qwen2.5:7b
Gemma 2 FamilyGemma 2 9B IT · 6 GB VRAM · Q4_K_M · ollama run gemma2
Phi-4 MiniPhi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini
SmolLM2SmolLM2 1.7B Instruct · 2 GB VRAM · Q4_K_M · ollama run smollm2:1.7b
DeepSeek R1DeepSeek R1 Distill Llama 8B · 6 GB VRAM · Q4_K_M · ollama run deepseek-r1:8b

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 4060 run local LLMs?

Yes — the NVIDIA GeForce RTX 4060 has 8 GB VRAM and runs Great entry-level AI GPU. 8 GB VRAM is enough for any 7–8B model in Q4 quantization. Only 115W TDP makes it ideal for al

How fast is the NVIDIA GeForce RTX 4060 for AI inference?

The NVIDIA GeForce RTX 4060 is estimated to run Llama 3.1 8B at 29–56 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 8 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 8 GB VRAM?

With 8 GB you can run: Llama 3.2 Family, Llama 3.1 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 4060

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