GPU HEAD-TO-HEAD

NVIDIA RTX 4080 Super vs NVIDIA RTX 5070 Ti Laptop

Which graphics card is better for running local language models? Here is how the NVIDIA RTX 4080 Super (16 GB) compares against the NVIDIA RTX 5070 Ti Laptop (12 GB) in real memory headroom, supported model architectures, and generation speed.

NVIDIA · Ada Lovelace 16 GB VRAM

NVIDIA RTX 4080 Super

Memory Bandwidth: 736 GB/s (GDDR6X 256-bit)
Fits fully in VRAM: 34 popular models
Power Draw (TDP): 320W
Largest recommended (Q4): 20B–22B

View all NVIDIA RTX 4080 Super 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 4080 Super is the clear winner for local AI. It provides both 4 GB more VRAM and higher memory bandwidth (736 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 4080 Super, but NOT on NVIDIA RTX 5070 Ti Laptop

These models run entirely in GPU VRAM on the NVIDIA RTX 4080 Super, but require slow system RAM offload on the NVIDIA RTX 5070 Ti Laptop:

Model	Size	Downloads	NVIDIA RTX 4080 Super	NVIDIA RTX 5070 Ti Laptop
LiquidAI/LFM2.5-24B-A2B-GGUF	23.97B	226,121	Fits in VRAM	Offload (Slow)

Other Popular GPU Comparisons