NVIDIA GTX 1080 Ti vs NVIDIA V100 16GB for local LLMs
2 reports on the NVIDIA GTX 1080 Ti and 10 on the NVIDIA V100 16GB
Which is faster for local LLMs?
Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is 1.9x higher on the NVIDIA V100 16GB (484 GB/s on the NVIDIA GTX 1080 Ti, 900 on the NVIDIA V100 16GB). The estimates below compare them on the models people run most.
NVIDIA GTX 1080 Ti
- Memory
- 11GB
- Memory bandwidth
- 484 GB/s
- FP16 compute
- 11.3 TFLOPS
- Reports
- 2
NVIDIA V100 16GB
- Memory
- 16GB
- Memory bandwidth
- 900 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 10
Estimated by the calculator
The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape.
| Model | NVIDIA GTX 1080 Ti | NVIDIA V100 16GB |
|---|---|---|
| Qwen3.8 27B | 1.6 t/sQ8_0, layers on CPU | 58.7 t/sQ2_K |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | doesn't fit at these settings |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 35B · 3B active | 13.8 t/sQ6_K, experts in RAM | 194.1 t/sQ2_K |
| Qwen3.6 27B | 1.6 t/sQ8_0, layers on CPU | 58.7 t/sQ2_K |
| Gemma 4 26B · 4B active | 8.4 t/sQ8_0, experts in RAM | 130.8 t/sQ3_K_S |
Change the context, RAM or model in the calculator: NVIDIA GTX 1080 Ti · NVIDIA V100 16GB
Every report on each card, with its source: NVIDIA GTX 1080 Ti · NVIDIA V100 16GB