Private ChatGPT · Qwen3 32B
A chat in your browser for writing, code and documents. No subscriptions and no message limits.
from €0.30/h · RTX 3090, 24 GB
Whisper large-v3 runs on an 8 GB card through faster-whisper; the original version needs about 12 GB. It recognises speech in dozens of languages and transcribes an hour of audio in a few minutes on a GPU, so at volume a rented GPU costs less than cloud speech APIs.
To launch, your balance must cover one hour of the machine. You are billed by the minute for actual use.
Whisper small / medium runs from 6 GB of video memory; the cheapest suitable card is RTX 3060. Prices update from available catalogue machines when you open the page.
| Version | Video memoryMemory | Suitable GPUGPU | Price per hourPer hour |
|---|---|---|---|
| Whisper small / medium | from 6 GB | RTX 3060 | €0.12 |
| Whisper large-v3 (faster-whisper) | from 8 GB | RTX 3060 | €0.12 |
| Whisper large-v3 (original) | from 12 GB | RTX 3060 | €0.12 |
Guide from real launches: complex graphs and high resolutions need more memory. Pick: the cheapest single card with enough memory. All GPUs and prices
Finished? Stop the server in the dashboard and billing stops. Save and stop keeps /workspace for €0.03 per GB per month, and it comes back on your next server automatically.
A transcript with timestamps: easy to find quotes and write up meeting notes.
The timestamped segments make an SRT file for YouTube or your video editor.
Hundreds of sales calls in one rental, then a language model works through the text.
Work through the resulting text in your own chat: the Private ChatGPT app installs Ollama, a Qwen3 model and the Open WebUI chat window. You only pay for GPU time.
A chat in your browser for writing, code and documents. No subscriptions and no message limits.
from €0.30/h · RTX 3090, 24 GB
A fast chat on an affordable card: email drafts, translations, quick answers.
from €0.12/h · RTX 3060, 12 GB
An RTX 3090 processes an hour of recording in a few minutes, so a few cents at €0.30 per hour.
The server is usually ready in 2–5 minutes, then SSH and Jupyter are available. Downloading the model depends on its size and is billed as normal server time.
When you stop, click Save and stop: the /workspace folder with your models, LoRAs and results goes to storage for €0.03 per GB per month and comes back on your next server automatically. If you stop without saving, the disk is deleted.
By the minute from your balance in euros. Top up from €10; to launch, your balance must cover at least one hour of the chosen machine. Stop the server and billing stops.
Sign up in a minute, top up from €10, pay by the minute. Stop the server and billing stops.
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