How much VRAM does the Intel Arc A770 16GB have?

The Intel Arc A770 16GB has 16 GB of GDDR6 with 560 GB/s memory bandwidth.

What is the Intel Arc A770 16GB best for?

With 16 GB of VRAM, the Intel Arc A770 16GB handles smaller models (7B–14B) at Q4–Q5 quantization — ideal for entry-level local LLM experimentation and lightweight inference.

What LLMs can the Intel Arc A770 16GB run locally?

The Intel Arc A770 16GB can run 40 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at Q8_0, Llama 3.2 3B Instruct at BF16, Llama 3.2 1B Instruct at FP32.

Can the Intel Arc A770 16GB run Llama 3.3 70B Instruct?

The Intel Arc A770 16GB can run Llama 3.3 70B Instruct with CPU offload at Q3_K_M quantization, but inference will be slower than native VRAM execution.

Can the Intel Arc A770 16GB run Qwen 3.6 27B?

Yes. The Intel Arc A770 16GB runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 48.2 tokens per second.

Can the Intel Arc A770 16GB run Llama 3.1 8B Instruct?

Yes. The Intel Arc A770 16GB runs Llama 3.1 8B Instruct natively in VRAM at Q8_0 quantization, achieving approximately 70 tokens per second.

Intel Arc A770 16GB

The Intel Arc A770 16GB has 16 GB VRAM and 560 GB/s memory bandwidth. It can run 40 of our 70 tracked models natively in VRAM at 8k context.

With 16 GB GDDR6, the Intel Arc A770 16GB is a consumer-tier GPU that can run 40 models natively. It handles 30B-class models at Q4 quantization.

The Intel Arc A770 16GB is Intel's flagship Alchemist discrete GPU and the most capable Arc card for LLM inference, fitting 13B models at Q4 quantization entirely in its 16GB GDDR6 framebuffer. With 560 GB/s bandwidth it outpaces many NVIDIA mid-range cards on memory throughput. The Vulkan backend in llama.cpp provides workable inference speeds, though CUDA alternatives remain faster per token.

Intel Arc A770 16GB: 2022 Xe-HPG Alchemist with 16GB GDDR6 at 560 GB/s — Intel's top Alchemist for LLM inference.

7B-14B at Q4 native; 13B at Q4 fits with headroom. ~5-8 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	16 GB
Memory type	GDDR6
Memory bandwidth	560 GB/s
Compute backend	VULKAN
Tier	Consumer
Released	2022
Models (native)	40 / 70
Models (offload)	9 / 70

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

Popular models for this GPU

Qwen 3.5 35B-A3B (MoE)Yi 1.5 34B Chat Qwen3 32B Qwen 2.5 32B Instruct Qwen 2.5 Coder 32B Instruct

Models this GPU runs natively in VRAM (40)

Models that fit with CPU offload (9)

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

Too large for this GPU (21)

Compare Intel Arc A770 16GB with other GPUs

Intel Arc A770 16GBvsNVIDIA RTX 4060 Ti 16GB16 GB each

Frequently asked questions

How much VRAM does the Intel Arc A770 16GB have?: The Intel Arc A770 16GB has 16 GB of GDDR6 with 560 GB/s memory bandwidth.
What is the Intel Arc A770 16GB best for?: With 16 GB of VRAM, the Intel Arc A770 16GB handles smaller models (7B–14B) at Q4–Q5 quantization — ideal for entry-level local LLM experimentation and lightweight inference.
What LLMs can the Intel Arc A770 16GB run locally?: The Intel Arc A770 16GB can run 40 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at Q8_0, Llama 3.2 3B Instruct at BF16, Llama 3.2 1B Instruct at FP32.
Can the Intel Arc A770 16GB run Llama 3.3 70B Instruct?: The Intel Arc A770 16GB can run Llama 3.3 70B Instruct with CPU offload at Q3_K_M quantization, but inference will be slower than native VRAM execution.
Can the Intel Arc A770 16GB run Qwen 3.6 27B?: Yes. The Intel Arc A770 16GB runs Qwen 3.6 27B natively in VRAM at Q3_K_M quantization, achieving approximately 48.2 tokens per second.
Can the Intel Arc A770 16GB run Llama 3.1 8B Instruct?: Yes. The Intel Arc A770 16GB runs Llama 3.1 8B Instruct natively in VRAM at Q8_0 quantization, achieving approximately 70 tokens per second.