GPU HEAD-TO-HEAD

NVIDIA RTX 4090 vs NVIDIA RTX 4090 Laptop

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4090 (24 GB) compares against the NVIDIA RTX 4090 Laptop (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 →
NVIDIA · Mobile 16 GB VRAM

NVIDIA RTX 4090 Laptop

  • Memory Bandwidth: 512 GB/s (GDDR6)
  • Fits fully in VRAM: 31 popular models
  • Power Draw (TDP): 150W
  • Largest recommended (Q4): 20B–22B
View all NVIDIA RTX 4090 Laptop 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 512 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 NVIDIA RTX 4090 Laptop

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

Model Size Downloads NVIDIA RTX 4090 NVIDIA RTX 4090 Laptop
ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF 31.58B 272,668 Fits in VRAM Offload (Slow)
bartowski/Qwen_Qwen3-Next-80B-A3B-Thinking-GGUF 81.32B 241,351 Fits in VRAM Offload (Slow)
unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF 70.55B 207,812 Fits in VRAM Offload (Slow)
unsloth/Qwen3-Coder-Next-GGUF 79.67B 180,642 Fits in VRAM Offload (Slow)
bartowski/Hermes-3-Llama-3.1-70B-GGUF 70.55B 158,505 Fits in VRAM Offload (Slow)

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