GPU HEAD-TO-HEAD

NVIDIA RTX 5090 vs NVIDIA RTX 4090

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5090 (32 GB) compares against the NVIDIA RTX 4090 (24 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Blackwell 32 GB VRAM

NVIDIA RTX 5090

  • Memory Bandwidth: 1792 GB/s (GDDR7 512-bit)
  • Fits fully in VRAM: 37 popular models
  • Power Draw (TDP): 575W
  • Largest recommended (Q4): 49B–70B
View all NVIDIA RTX 5090 models →
NVIDIA · Ada Lovelace 24 GB VRAM

NVIDIA RTX 4090

  • Memory Bandwidth: 1008 GB/s (GDDR6X 384-bit)
  • Fits fully in VRAM: 37 popular models
  • Power Draw (TDP): 450W
  • Largest recommended (Q4): 32B–34B
View all NVIDIA RTX 4090 models →

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

The NVIDIA RTX 5090 is the clear winner for local AI. It provides both 8 GB more VRAM and higher memory bandwidth (1792 GB/s vs 1008 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.

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