GPU HEAD-TO-HEAD

NVIDIA RTX 3090 Ti vs Intel Arc A770

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 3090 Ti (24 GB) compares against the Intel Arc A770 (16 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Ampere 24 GB VRAM

NVIDIA RTX 3090 Ti

  • 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 3090 Ti models →
Intel · Xe-HPG 16 GB VRAM

Intel Arc A770

  • Memory Bandwidth: 560 GB/s (GDDR6 256-bit)
  • Fits fully in VRAM: 34 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 3090 Ti 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 3090 Ti, but NOT on Intel Arc A770

These models run entirely in GPU VRAM on the NVIDIA RTX 3090 Ti, but require slow system RAM offload on the Intel Arc A770:

Model Size Downloads NVIDIA RTX 3090 Ti Intel Arc A770
ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF 31.58B 249,888 Fits in VRAM Offload (Slow)
unsloth/Qwen3-Coder-Next-GGUF 79.67B 169,899 Fits in VRAM Offload (Slow)

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