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

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

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

VRAM	8 GB
Memory Bandwidth	448 GB/s
TDP	180 W
Architecture	Blackwell GB206
Release Year	2025
MSRP at Launch	$379
Inference Speed (Llama 3.1 8B Q4_K_M)	40–83 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 8 GB usable

购买此硬件 NVIDIA GeForce RTX 5060 Ti 8GB — 8 GB VRAM · 180 W board power 立即云端部署 RunPod 上的 RTX 4090 — 低至 $0.34/小时 · 价格核实于 2026-07

或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)

作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

NVIDIA GeForce RTX 5060 Ti 8GB

8 GB VRAM · 180 W board power

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.

Bielik	Bielik PL 11B v3.0 Instruct · 7 GB VRAM · Q4_K_M · bielik
Llama 3.2 Family	Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Llama 3.2 Vision	Llama 3.2 Vision 11B · 7 GB VRAM · Q4_K_M · `ollama run llama3.2-vision:11b`
Falcon 3	Falcon 3 10B Instruct · 7 GB VRAM · Q4_K_M · `ollama run falcon3:10b`
Gemma 2 Family	Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · `ollama run gemma2`
GLM-4.7 / GLM-Z1	GLM-4 9B · 6 GB VRAM · Q4_K_M · `ollama run glm4:9b`
Qwen 3.5	Qwen 3.5 9B · 6 GB VRAM · Q4_K_M · `ollama run qwen3.5:9b`
GLM-4.6V	GLM-4.6V-Flash 9B · 6 GB VRAM · Q4_K_M · glm-4-6v

34 more families also fit 8 GB — browse the full model library.

Best Use Cases

8B models
budget Blackwell

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 is estimated to run Llama 3.1 8B at 40–83 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: Bielik, Llama 3.2 Family, Llama 3.2 Vision, Falcon 3, Gemma 2 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

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

Compare Similar GPUs

VRAM Tier

Best LLMs for 8 GB VRAM

Buying Guide

Best GPU Buyer Guide 2026

← All GPU Reviews | All Hardware | Check Your Hardware | Full Benchmarks | Can I Run It?