NVIDIA GeForce RTX 5060 — 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

Entry-level Blackwell GPU at $299. 8 GB VRAM is enough for any 7–8B model in Q4. 145W TDP makes it efficient for always-on AI use.

Technical Specifications

VRAM	8 GB
Memory Bandwidth	448 GB/s
TDP	145 W
Architecture	Blackwell GB206
Release Year	2025
MSRP at Launch	$299
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 8GB — 8 GB VRAM · 145 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 8GB

8 GB VRAM · 145 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
low power AI
beginners

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 run local LLMs?

Yes — the NVIDIA GeForce RTX 5060 has 8 GB VRAM and runs Entry-level Blackwell GPU at $299. 8 GB VRAM is enough for any 7–8B model in Q4. 145W TDP makes it efficient for always-

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

The NVIDIA GeForce RTX 5060 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

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