GeForce RTX 4070 Ti SUPER vs GeForce RTX 4080 SUPER for Local AI
As an Amazon Associate we earn from qualifying purchases. How we're funded
Which GPU is better for local AI workloads?
Both Ada cards have 16GB. The 4080 SUPER's 736 GB/s and fuller GPU yield ~10–15% AI gains; the 4070 Ti SUPER at $799 is the better price-performance 16GB buy from the generation. TDP: 285W versus 320W.
Spec comparison: what actually differs
The table below is computed live from our hardware database. Positive deltas favor the GeForce RTX 4070 Ti SUPER.
| Specification | GeForce RTX 4070 Ti SUPER | GeForce RTX 4080 SUPER | Difference |
|---|---|---|---|
| VRAM | 16 | 16 | — |
| Memory bandwidth | 672 | 736 | -9% |
| Memory type | GDDR6X | GDDR6X | — |
| Memory bus | 256 | 256 | — |
| TDP | 285 | 320 | -11% |
| CUDA cores | 8448 | 10240 | -18% |
| Architecture | Ada Lovelace | Ada Lovelace | — |
| Launch MSRP | $799 | $999 | -20% |
| Street price | $799 | $999 | -20% |
What about price?
Which one should you buy for LLMs and image generation?
GeForce RTX 4070 Ti SUPER
Buy the 4070 Ti SUPER for value 16GB.
Full specs & benchmarks →GeForce RTX 4080 SUPER
Buy the 4080 SUPER discounted below $850.
Full specs & benchmarks →Is it faster for LLM inference?
Identical model set; modest decode edge to the 4080 SUPER.
How does it handle image generation?
Both strong; 4080 SUPER ~12% faster per image typically.
Which AI models fit on each card?
Computed from our model VRAM database at Q4 quantization: GeForce RTX 4070 Ti SUPER has 16 GB, GeForce RTX 4080 SUPER has 16 GB.
Fit on both cards
Frequently asked questions
4070 Ti SUPER vs 4080 SUPER for AI?
Same 16GB; 736 vs 672 GB/s gives the 4080 SUPER a ~10% edge. The $200 gap favors the 4070 Ti SUPER unless discounted.