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
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
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 | 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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