GPU HEAD-TO-HEAD

NVIDIA RTX 4090 vs Intel Arc A770

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4090 (24 GB) compares against the Intel Arc A770 (16 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Ada Lovelace 24 GB VRAM

NVIDIA RTX 4090

Memory Bandwidth: 1008 GB/s (GDDR6X 384-bit)
Fits fully in VRAM: 36 popular models
Power Draw (TDP): 450W
Largest recommended (Q4): 32B–34B

View all NVIDIA RTX 4090 models →

Intel · Xe-HPG 16 GB VRAM

Intel Arc A770

Memory Bandwidth: 560 GB/s (GDDR6 256-bit)
Fits fully in VRAM: 33 popular models
Power Draw (TDP): 225W
Largest recommended (Q4): 20B–22B

View all Intel Arc A770 models →

The AI Local Check Verdict: Which GPU should you buy for AI?

The NVIDIA RTX 4090 is the clear winner for local AI. It provides both 8 GB more VRAM and higher memory bandwidth (1008 GB/s vs 560 GB/s).

This allows it to run larger model architectures entirely in video memory while also delivering faster token generation speeds on models of all sizes.

Models that fit on NVIDIA RTX 4090, but NOT on Intel Arc A770

These models run entirely in GPU VRAM on the NVIDIA RTX 4090, but require slow system RAM offload on the Intel Arc A770:

Model	Size	Downloads	NVIDIA RTX 4090	Intel Arc A770
ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF	31.58B	217,411	Fits in VRAM	Offload (Slow)
bartowski/Llama-3.3-70B-Instruct-GGUF	70.55B	210,869	Fits in VRAM	Offload (Slow)
unsloth/Qwen3-Coder-Next-GGUF	79.67B	179,196	Fits in VRAM	Offload (Slow)

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