How much VRAM does the Intel Arc A750 8GB have?

The Intel Arc A750 8GB has 8 GB of GDDR6 with 512 GB/s memory bandwidth.

What is the Intel Arc A750 8GB best for?

With 8 GB of VRAM, the Intel Arc A750 8GB 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 A750 8GB run locally?

The Intel Arc A750 8GB can run 24 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at Q5_K_M, Llama 3.2 3B Instruct at Q8_0, Llama 3.2 1B Instruct at FP32.

Can the Intel Arc A750 8GB run Llama 3.3 70B Instruct?

The Intel Arc A750 8GB can run Llama 3.3 70B Instruct with CPU offload at Q2_K quantization, but inference will be slower than native VRAM execution.

Can the Intel Arc A750 8GB run Qwen 3.6 27B?

The Intel Arc A750 8GB 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 A750 8GB run Llama 3.1 8B Instruct?

Yes. The Intel Arc A750 8GB runs Llama 3.1 8B Instruct natively in VRAM at Q5_K_M quantization, achieving approximately 99.4 tokens per second.

Intel Arc A750 8GB

The Intel Arc A750 8GB has 8 GB VRAM and 512 GB/s memory bandwidth. It can run 24 of our 70 tracked models natively in VRAM at 8k context.

Intel Arc A750 8GB: 2022 Xe-HPG Alchemist with 8GB GDDR6 at 512 GB/s — mid-range Alchemist option.

7B at Q4 natively; bandwidth limits throughput on larger quantizations. ~4-7 t/s for 7B via Vulkan.

Vulkan via llama.cpp works cross-platform. SYCL backend requires oneAPI toolkit. Ollama support limited.

Vendor	Intel
Architecture	Xe-HPG (Alchemist)
VRAM	8 GB
Memory type	GDDR6
Memory bandwidth	512 GB/s
Compute backend	VULKAN
Tier	Consumer
Released	2022
Models (native)	24 / 70
Models (offload)	23 / 70

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

Models this GPU runs natively in VRAM (24)

Models that fit with CPU offload (23)

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

Too large for this GPU (23)

Frequently asked questions

How much VRAM does the Intel Arc A750 8GB have?: The Intel Arc A750 8GB has 8 GB of GDDR6 with 512 GB/s memory bandwidth.
What is the Intel Arc A750 8GB best for?: With 8 GB of VRAM, the Intel Arc A750 8GB 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 A750 8GB run locally?: The Intel Arc A750 8GB can run 24 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at Q5_K_M, Llama 3.2 3B Instruct at Q8_0, Llama 3.2 1B Instruct at FP32.
Can the Intel Arc A750 8GB run Llama 3.3 70B Instruct?: The Intel Arc A750 8GB can run Llama 3.3 70B Instruct with CPU offload at Q2_K quantization, but inference will be slower than native VRAM execution.
Can the Intel Arc A750 8GB run Qwen 3.6 27B?: The Intel Arc A750 8GB 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 A750 8GB run Llama 3.1 8B Instruct?: Yes. The Intel Arc A750 8GB runs Llama 3.1 8B Instruct natively in VRAM at Q5_K_M quantization, achieving approximately 99.4 tokens per second.