RTX 5070 Ti vs RTX 5080: which GPU for local AI?
Focused comparison Local LLM : we're looking at what really matters for running models—VRAM above all, then generation speed and price. Purchase verdict at the end.
Updated on 09/10/2026
Comparison at a glance
| Criterion | RTX 5070 Ti | RTX 5080 |
|---|---|---|
| Memory | 16 GB VRAM | 16 GB VRAM |
| Brand | NVIDIA | NVIDIA |
| Compatible models (Q4) | 143 models in the catalog | 143 models in the catalog |
| Largest model (Q4) | Qwen 3.8 27B Obliterated (28B) | Qwen 3.8 27B Obliterated (28B) |
Which one should you choose to run an LLM?
Golden rule: with the same budget, always choose the GPU with the most VRAM. A model that exceeds the VRAM limit collapses in speed (CPU offloading). VRAM determines the size of the model; computing power mainly dictates the Speed.
Where to buy (up-to-date pricing and stock)
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Frequently asked questions
RTX 5070 Ti or RTX 5080 for running an LLM locally?
For local use, the VRAM prime. The RTX 5070 Ti (16 GB) runs larger models than the RTX 5080 (16 GB).
What is the largest model the RTX 5070 Ti can run?
Up to Qwen 3.8 27B Obliterated (28B) with Q4 quantization, using 16 GB.
Should you buy used?
For LLMs, a used GPU with more VRAM often beats a newer card with less memory. Check its condition and warranty.