NVIDIA GeForce RTX 5070 — 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

12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows. The mainstream successor to the RTX 4070 Super.

Technical Specifications

VRAM	12 GB
Memory Bandwidth	672 GB/s
TDP	250 W
Architecture	Blackwell GB205
Release Year	2025
MSRP at Launch	$549
Inference Speed (Llama 3.1 8B Q4_K_M)	56–116 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 12 GB usable

购买此硬件 NVIDIA GeForce RTX 5070 12GB — 12 GB VRAM · 250 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 5070 12GB

12 GB VRAM · 250 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 12 GB VRAM

All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.

StarCoder 2	StarCoder 2 15B · 10 GB VRAM · Q4_K_M · `ollama run starcoder2:15b`
Qwen 3	Qwen 3 14B · 10 GB VRAM · Q4_K_M · `ollama run qwen3:14b`
DeepSeek R1	DeepSeek R1 Distill Qwen 14B · 9 GB VRAM · Q4_K_M · `ollama run deepseek-r1:14b`
Phi-4 Family	Phi-4 (14B) · 9 GB VRAM · Q4_K_M · `ollama run phi4`
Qwen 2.5 Family	Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · `ollama run qwen2.5:14b`
Cogito v1	Cogito v1 14B · 9 GB VRAM · Q4_K_M · `ollama run cogito:14b`
Ministral 3	Ministral 3 14B · 9 GB VRAM · Q4_K_M · `ollama run ministral-3:14b`
OLMo 2	OLMo 2 13B Instruct · 9 GB VRAM · Q4_K_M · `ollama run olmo2:13b`

36 more families also fit 12 GB — browse the full model library.

Best Use Cases

8B models
mainstream Blackwell
coding

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 5070 run local LLMs?

Yes — the NVIDIA GeForce RTX 5070 has 12 GB VRAM and runs 12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows.

How fast is the NVIDIA GeForce RTX 5070 for AI inference?

The NVIDIA GeForce RTX 5070 is estimated to run Llama 3.1 8B at 56–116 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 12 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 12 GB VRAM?

With 12 GB you can run: StarCoder 2, Qwen 3, DeepSeek R1, Phi-4 Family, Qwen 2.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — NVIDIA GeForce RTX 5070

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VRAM Tier

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Buying Guide

Best GPU Buyer Guide 2026

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