NVIDIA RTX 5080 vs NVIDIA V100 32GB for local LLMs
26 reports on the NVIDIA RTX 5080 and 27 on the NVIDIA V100 32GB
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 7% higher on the NVIDIA RTX 5080 (960 GB/s on the NVIDIA RTX 5080, 900 on the NVIDIA V100 32GB). The estimates below compare them on the models people run most.
NVIDIA RTX 5080
- Memory
- 16GB
- Memory bandwidth
- 960 GB/s
- FP16 compute
- 225 TFLOPS
- Reports
- 26
NVIDIA V100 32GB
- Memory
- 32GB
- Memory bandwidth
- 900 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 27
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 RTX 5080 | NVIDIA V100 32GB |
|---|---|---|
| Qwen3.8 27B | 62.6 t/sQ2_K | 22.6 t/sQ6_K |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | 19.4 t/sQ2_K, experts in RAM |
| Qwen3.6 35B · 3B active | 207.0 t/sQ2_K | 81.9 t/sQ5_K_M |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 27B | 62.6 t/sQ2_K | 22.6 t/sQ6_K |
| Gemma 4 26B · 4B active | 139.6 t/sQ3_K_S | 57.5 t/sQ6_K |
Change the context, RAM or model in the calculator: NVIDIA RTX 5080 · NVIDIA V100 32GB
Every report on each card, with its source: NVIDIA RTX 5080 · NVIDIA V100 32GB