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

购买此硬件 Intel Arc B570 10GB — 10 GB VRAM · 150 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。

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.

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`
Mistral Family	Mistral NeMo 12B · 8 GB VRAM · Q4_K_M · `ollama run mistral-nemo`

36 more families also fit 10 GB — browse the full model library.

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: Qwen 3, DeepSeek R1, Phi-4 Family, Qwen 2.5 Family, Cogito v1. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — Intel Arc B570

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