GPU HEAD-TO-HEAD

NVIDIA RTX 4090 vs NVIDIA RTX 5060 Ti 16 GB

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4090 (24 GB) compares against the NVIDIA RTX 5060 Ti 16 GB (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 · Desktop 16 GB VRAM

NVIDIA RTX 5060 Ti 16 GB

  • Memory Bandwidth: 512 GB/s (GDDR6)
  • Fits fully in VRAM: 34 popular models
  • Power Draw (TDP): 150W
  • Largest recommended (Q4): 20B–22B
View all NVIDIA RTX 5060 Ti 16 GB 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 5060 Ti 16 GB

These models run entirely in GPU VRAM on the NVIDIA RTX 4090, but require slow system RAM offload on the NVIDIA RTX 5060 Ti 16 GB:

Model Size Downloads NVIDIA RTX 4090 NVIDIA RTX 5060 Ti 16 GB
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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