Run PaddleSpeech on a cloud GPU
PaddleSpeech is a Speech to text model by PaddlePaddle. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
From the project: Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
GPUs it fits on today
Typical GPU memory for this kind of app: about 8 GB. Bigger models and higher resolutions need more.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| GTX 1070 | 8 GB | $0.14 | $1.40 | Rent |
| RTX 3060 | 12 GB | $0.15 | $1.50 | Rent |
| GTX 1070 Ti | 8 GB | $0.16 | $1.60 | Rent |
| GTX 1080 | 8 GB | $0.16 | $1.60 | Rent |
| Q RTX 4000 | 8 GB | $0.16 | $1.60 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run PaddleSpeech
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 03
Clone the app and follow its README
Run the commands below, then follow the project's README. Most apps start a web interface you can open through the machine's ports.
git clone https://github.com/PaddlePaddle/PaddleSpeech.git
cd PaddleSpeechWhy run it yourself?
Transcribe hours of audio for the cost of the GPU minutes it takes. Recordings never leave your machine.
Questions
- How much GPU memory does PaddleSpeech need?
- By our estimate about 8 GB for inference (? parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run PaddleSpeech?
- From $0.14 per hour on GTX 1070, billed per second. Ten hours cost about $1.40.
- Do I need a subscription?
- No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.
Try it on your own GPU in minutes
Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.
- Per-second billing in USD
- PyTorch and CUDA ready in minutes
- Rent from ChatGPT or Claude too