Intel Arc B570 — 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

Cut-down sibling of the B580 at $219. 10 GB VRAM with OpenVINO/IPEX-LLM acceleration handles 7–8B models in Q4. Slightly lower bandwidth (380 GB/s) than the B580.

Technical Specifications

VRAM	10 GB
Memory Bandwidth	380 GB/s
TDP	150 W
Architecture	Xe2 Battlemage BMG-G21
Release Year	2025
MSRP at Launch	$219
Inference Speed (Llama 3.1 8B Q4_K_M)	24–49 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 10 GB usable

Buy This HardwareIntel Arc B570 10GB — 10 GB VRAM · 150 W board power Deploy 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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Intel Arc B570 10GB

10 GB VRAM · 150 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 10 GB VRAM

All models below run comfortably in 10 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family	Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · `ollama run llama3.1`
Llama 3.2 Family	Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Qwen 2.5 Family	Qwen 2.5 14B Instruct · 9 GB VRAM · Q4_K_M · `ollama run qwen2.5:14b`
Gemma 2 Family	Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · `ollama run gemma2`
Phi-4 Mini	Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · `ollama run phi4-mini`
SmolLM2	SmolLM2 1.7B Instruct · 2 GB VRAM · Q4_K_M · `ollama run smollm2:1.7b`
Ministral 3	Ministral 3 14B · 9 GB VRAM · Q4_K_M · `ollama run ministral-3:14b`
IBM Granite 4.2	Granite 4.2 8B · 6 GB VRAM · Q4_K_M · `ollama run granite4.2:8b`

Best Use Cases

8B models
budget option
Windows AI

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the Intel Arc B570 run local LLMs?

Yes — the Intel Arc B570 has 10 GB VRAM and runs Cut-down sibling of the B580 at $219. 10 GB VRAM with OpenVINO/IPEX-LLM acceleration handles 7–8B models in Q4. Slightly

How fast is the Intel Arc B570 for AI inference?

The Intel Arc B570 is estimated to run Llama 3.1 8B at 24–49 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 10 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 10 GB VRAM?

With 10 GB you can run: Llama 3.1 Family, Llama 3.2 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? — Intel Arc B570

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