NVIDIA H800 vs NVIDIA RTX Pro 6000 Blackwell for local LLMs
0 reports on the NVIDIA H800 and 70 on the NVIDIA RTX Pro 6000 Blackwell
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 H800 (3,350 GB/s on the NVIDIA H800, 1,792 on the NVIDIA RTX Pro 6000 Blackwell). The estimates below compare them on the models people run most.
- Memory
- 80GB
- Memory bandwidth
- 3,350 GB/s
- FP16 compute
- 989.5 TFLOPS
- Reports
- 0
- Memory
- 96GB
- Memory bandwidth
- 1,792 GB/s
- FP16 compute
- 503 TFLOPS
- Reports
- 70
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 H800 | NVIDIA RTX Pro 6000 Blackwell |
|---|---|---|
| Qwen3.8 27B | 34.1 t/sFP16 | 18.3 t/sFP16 |
| Qwen3.8 125B · 6B active | 202.0 t/sQ4_K_S | 83.1 t/sQ5_K_S |
| Qwen3.6 35B · 3B active | 245.7 t/sQ8_0 | 57.5 t/sFP16 |
| DeepSeek V4 Flash 284B · 13B active | 9.6 t/sQ2_K, experts in RAM | 130.8 t/sQ2_K |
| Qwen3.6 27B | 34.1 t/sFP16 | 18.3 t/sFP16 |
| Gemma 4 26B · 4B active | 87.8 t/sFP16 | 49.3 t/sFP16 |
Change the context, RAM or model in the calculator: NVIDIA H800 · NVIDIA RTX Pro 6000 Blackwell
Every report on each card, with its source: NVIDIA H800 · NVIDIA RTX Pro 6000 Blackwell