How much VRAM does the Intel Arc B570 10GB have?

The Intel Arc B570 10GB has 10 GB of GDDR6 with 380 GB/s memory bandwidth.

What is the Intel Arc B570 10GB best for?

With 10 GB of VRAM, the Intel Arc B570 10GB is best for running compact models (1B–8B) at low quantization, suitable for edge inference, prototyping, and lightweight tasks.

What LLMs can the Intel Arc B570 10GB run locally?

The Intel Arc B570 10GB can run 29 of the 94 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Ornith 1.5 9B at Q6_K, Qwen 3.5 9B at Q6_K, Bonsai 27B at 1-bit (Q1_0).

Can the Intel Arc B570 10GB run Gemma 4 31B?

The Intel Arc B570 10GB can run Gemma 4 31B with CPU offload at Q6_K quantization, but inference will be slower than native VRAM execution.

Can the Intel Arc B570 10GB run Qwen 3.6 27B?

The Intel Arc B570 10GB can run Qwen 3.6 27B with CPU offload at Q8_0 quantization, but inference will be slower than native VRAM execution.

Can the Intel Arc B570 10GB run Qwen3 8B?

Yes. The Intel Arc B570 10GB runs Qwen3 8B natively in VRAM at Q6_K quantization, achieving approximately 31.8 tokens per second.

Intel Arc B570 10GB

The Intel Arc B570 10GB has 10 GB VRAM and 380 GB/s memory bandwidth. It can run 29 of our 94 tracked models natively in VRAM at 8k context.

With 10 GB GDDR6, the Intel Arc B570 10GB is a consumer-tier GPU that can run 29 models natively. It's best for smaller models under 8B parameters.

The Intel Arc B570 is the entry-level Battlemage discrete GPU with 10GB of GDDR6. It handles 7B models at Q4 quantization and smaller 3B models at higher quality. A budget option for users who want more VRAM than similarly-priced competitors.

Intel Arc B570 10GB: 2025 Xe2-HPG Battlemage with 10GB GDDR6 at 380 GB/s, entry Battlemage for LLM use.

7B at Q4-Q8 natively; 3B models at higher quality. ~5-8 t/s for 7B via Vulkan.

Vulkan via llama.cpp works cross-platform. SYCL backend available with oneAPI. Ollama support limited.

Vendor	Intel
Architecture	Xe2-HPG (Battlemage)
VRAM	10 GB
Memory type	GDDR6
Memory bandwidth	380 GB/s
Compute backend	VULKAN
Tier	Consumer
Released	2025
Models (native)	29 / 94
Models (offload)	28 / 94

Software: Vulkan backend works in llama.cpp; SYCL backend available but requires oneAPI toolkit. Ollama support is limited.

Popular models for this GPU

Bonsai 27B Qwen3 14B Qwen 2.5 14B Instruct Phi-4 14B Instruct Mistral Nemo 12B Instruct

Models this GPU runs natively in VRAM (29)

Show 24 more

Models that fit with CPU offload (28)

These use system RAM for layers that don't fit in VRAM, so expect much slower inference.

Too large for this GPU (37)

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Frequently asked questions

How much VRAM does the Intel Arc B570 10GB have?: The Intel Arc B570 10GB has 10 GB of GDDR6 with 380 GB/s memory bandwidth.
What is the Intel Arc B570 10GB best for?: With 10 GB of VRAM, the Intel Arc B570 10GB is best for running compact models (1B–8B) at low quantization, suitable for edge inference, prototyping, and lightweight tasks.
What LLMs can the Intel Arc B570 10GB run locally?: The Intel Arc B570 10GB can run 29 of the 94 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Ornith 1.5 9B at Q6_K, Qwen 3.5 9B at Q6_K, Bonsai 27B at 1-bit (Q1_0).
Can the Intel Arc B570 10GB run Gemma 4 31B?: The Intel Arc B570 10GB can run Gemma 4 31B with CPU offload at Q6_K quantization, but inference will be slower than native VRAM execution.
Can the Intel Arc B570 10GB run Qwen 3.6 27B?: The Intel Arc B570 10GB can run Qwen 3.6 27B with CPU offload at Q8_0 quantization, but inference will be slower than native VRAM execution.
Can the Intel Arc B570 10GB run Qwen3 8B?: Yes. The Intel Arc B570 10GB runs Qwen3 8B natively in VRAM at Q6_K quantization, achieving approximately 31.8 tokens per second.