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 45 of the 97 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Qwen 3.8 27B at Q3_K_M, Ornith 1.5 35B-A3B (MoE) at Q2_K, Ornith 1.5 9B at Q8_0.

Can the Intel Arc A770 16GB run Gemma 4 31B?

Yes. The Intel Arc A770 16GB runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 27.6 tokens per second.

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 26.9 tokens per second.

Can the Intel Arc A770 16GB run Qwen3 8B?

Yes. The Intel Arc A770 16GB runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 37.5 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 45 of our 97 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 45 models natively. 7B-14B at Q4 native; 13B at Q4 fits with headroom. ~5-8 t/s for 7B via Vulkan.

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)	45 / 97
Models (offload)	12 / 97

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)Ornith 1.5 35B-A3B (MoE)Nemotron 3 Nano 30B Gemma 4 31B Qwen3 30B-A3B (MoE)

Models this GPU runs natively in VRAM (45)

Show 40 more

Models that fit with CPU offload (12)

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

Too large for this GPU (40)

Compare Intel Arc A770 16GB with other GPUs

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

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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 45 of the 97 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Qwen 3.8 27B at Q3_K_M, Ornith 1.5 35B-A3B (MoE) at Q2_K, Ornith 1.5 9B at Q8_0.
Can the Intel Arc A770 16GB run Gemma 4 31B?: Yes. The Intel Arc A770 16GB runs Gemma 4 31B natively in VRAM at Q2_K quantization, achieving approximately 27.6 tokens per second.
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 26.9 tokens per second.
Can the Intel Arc A770 16GB run Qwen3 8B?: Yes. The Intel Arc A770 16GB runs Qwen3 8B natively in VRAM at Q8_0 quantization, achieving approximately 37.5 tokens per second.