magpie_tts_multilingual_357m
Run this model
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Test conditions
- Task
- Speech synthesis · Not recorded → Audio
- Workload
- Not recorded → Audio · tts_prompts · Test duration 19 s
- Batch size
- Batch 1
- Format · Engine
- Native · nemo-magpie · PyTorch 2.13.0
- Unit
- audio-sec/sec
Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.
Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.
Protocol details
audio-native-v1 · tts_prompts · tts
GPUs on this test
Only one GPU configuration has matching measurements; a cross-hardware comparison is not yet available.
- RTX PRO 6000 Blackwell Server Edition · 96 GBPyTorch 2.13.0
- Mean throughput
- 3.6audio-sec/sec
- Observed GPU occupancy
- 4GiB
- P95 latency
- Not recorded
- Reports combined
- 1
Sortable table
| Hardware | Mean throughput (audio-sec/sec) | P95 (s) | TTFT (ms) | Observed occupancy (GiB) | GPU power (W) | Throughput / W | VRAM per GPU (GB) | Reports combined |
|---|---|---|---|---|---|---|---|---|
| #1RTX PRO 6000 Blackwell Server Edition · 96 GBPyTorch 2.13.0Runs, parameters and setup ↗ | 3.57 | — | — | 4.01 | 178.8 | 0.02 | 96 | 1 |
Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.
Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.
How results are grouped
Results merge successful runs of the same model, precision and workload. CPU thread counts and CUDA wheel builds may differ; actual PyTorch builds are shown. Other recorded protocol settings remain separate.
Updated 11/5/2026, 11:07:29 PM