NVIDIA RTX 5080 vs NVIDIA RTX 4080 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 4080 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: 31 popular models
- Power Draw (TDP): 400W
- Largest recommended (Q4): 20B–22B
NVIDIA · Mobile
12 GB VRAM
NVIDIA RTX 4080 Laptop
- Memory Bandwidth: 384 GB/s (GDDR6)
- Fits fully in VRAM: 30 popular models
- Power Draw (TDP): 150W
- Largest recommended (Q4): 14B
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 384 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 4080 Laptop
These models run entirely in GPU VRAM on the NVIDIA RTX 5080, but require slow system RAM offload on the NVIDIA RTX 4080 Laptop:
| Model | Size | Downloads | NVIDIA RTX 5080 | NVIDIA RTX 4080 Laptop |
|---|---|---|---|---|
| MaziyarPanahi/Qwen3-32B-GGUF | 32.76B | 259,026 | Fits in VRAM | Offload (Slow) |
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