GPU HEAD-TO-HEAD

NVIDIA RTX 5080 vs NVIDIA RTX 5070 Ti Laptop

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 5080 (16 GB) compares against the NVIDIA RTX 5070 Ti Laptop (12 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Blackwell 16 GB VRAM

NVIDIA RTX 5080

  • Memory Bandwidth: 960 GB/s (GDDR7 256-bit)
  • Fits fully in VRAM: 34 popular models
  • Power Draw (TDP): 400W
  • Largest recommended (Q4): 20B–22B
View all NVIDIA RTX 5080 models →
NVIDIA · Blackwell 12 GB VRAM

NVIDIA RTX 5070 Ti Laptop

  • Memory Bandwidth: 672 GB/s (GDDR7 192-bit)
  • Fits fully in VRAM: 33 popular models
  • Power Draw (TDP): 115W
  • Largest recommended (Q4): 14B
View all NVIDIA RTX 5070 Ti Laptop models →

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

The NVIDIA RTX 5080 is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (960 GB/s vs 672 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 5080, but NOT on NVIDIA RTX 5070 Ti Laptop

These models run entirely in GPU VRAM on the NVIDIA RTX 5080, but require slow system RAM offload on the NVIDIA RTX 5070 Ti Laptop:

Model Size Downloads NVIDIA RTX 5080 NVIDIA RTX 5070 Ti Laptop
LiquidAI/LFM2.5-24B-A2B-GGUF 23.97B 226,121 Fits in VRAM Offload (Slow)

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