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# Compute pricing | ||
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```{important} | ||
Access to large compute resources is reserved for certain PRO accounts, if you want | ||
us to enable it for your account, email us: [[email protected]](mailto:[email protected]) | ||
``` | ||
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If your application requires more than 2vCPUs or 4GB of RAM, you can upgrade your hardware. On-demand resources are billed per-second, you can [stop your application](stop-application) whenever you want. Stopped applications are not billed. | ||
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## On-demand prices | ||
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| | hour | day | | ||
|------|---------|---------| | ||
| vCPU | $0.0446 | $1.0704 | | ||
| GB | $0.0049 | $0.1176 | | ||
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*Prices in US dollars. Billed per second.* | ||
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## Pricing examples | ||
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- 4vCPU/8GB application running: | ||
- One day (24 hours): $5.22 | ||
- One month (30 days): $156.67 | ||
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- 8vCPU/16GB application running: | ||
- One day (24 hours): $10.44 | ||
- One month (30 days): $313.34 |
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- 10 concurrent apps max | ||
- 3 apps running 24/7 max (the rest are stopped, but can be restarted) | ||
- 2 vCPU per app (can upgrade hardware with on-demand resources) | ||
- 4 GiB RAM per app (can upgrade hardware with on-demand resources) | ||
- 2 vCPU per app (can upgrade hardware with [on-demand resources](compute.md)) | ||
- 4 GiB RAM per app (can upgrade hardware with [on-demand resources](compute.md)) | ||
- Unlimited deployment rate | ||
- Custom app name (e.g., `my-cool-app.ploomberapp.io`) | ||
- Custom domains (i.e., serve your app from `my-cool-app.com`) | ||
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### Ploomber Cloud Enterprise | ||
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Customized plan to suit your needs. Send us an email to [[email protected]](mailto:[email protected]). | ||
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## On-demand resources | ||
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You can upgrade the app's resources (CPUs, RAM, GPUs). You'll be billed per-second, | ||
and you can downgrade the hardware at any time. | ||
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We're beta testing on-demand resources. If you want to use it, send us an email to [[email protected]](mailto:[email protected]). |
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# OCR app | ||
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A Solara app to extract text from images. |
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# Restaurant tipping dashboard | ||
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A restaurant tipping dashboard designed to offer valuable insights into tipping behaviors like average tip, tips percentage over the week, etc. |
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# A basic app | ||
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A basic Streamlit app. |
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# Chat with a PDF | ||
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This Panel app was [originally developed](https://github.com/holoviz-topics/panel-chat-examples/blob/main/docs/examples/langchain/langchain_pdf_assistant.py) by [Andrew Huang](https://github.com/ahuang11), | ||
A Panel app that allows users to chat with a PDF document. | ||
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This app was [originally developed](https://github.com/holoviz-topics/panel-chat-examples/blob/main/docs/examples/langchain/langchain_pdf_assistant.py) by [Andrew Huang](https://github.com/ahuang11), | ||
and [Marc Skov Madsen](https://github.com/MarcSkovMadsen). | ||
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[Click here](https://docs.cloud.ploomber.io/en/latest/apps/panel.html) to see deployment instructions. |
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# Penguin Crossfilter | ||
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A Panel app that uses the box-select and lasso-select tools to select a subset of penguins and reveal more information about the selected subgroup through the power of cross-filtering. |
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# Data visualization | ||
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An app for visualising the Penguins dataset. |
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# Restaurant tipping dashboard | ||
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A restaurant tipping dashboard designed to offer valuable insights into tipping behaviors like average tip, tips percentage over the week, etc. |
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# Arxiv Chat | ||
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A chat assistant that can help find academic papers using Arxiv and also allows users to chat with an uploaded article. |
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# GPT4 Tokenizer | ||
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A Solara app that shows how to use a language model tokenizer to encode and decode and how to search for a token. |
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# OCR app | ||
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A Solara app to extract text from images. |
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# A basic app | ||
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A basic Streamlit app. |
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# Data visualisation | ||
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An interactive app that explores a public Uber dataset for pickups and drop-offs in New York City. |
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# Data visualisation | ||
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An interactive app that allows users to explore population by continent or countries. |
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# Custom Voila app | ||
# Scotch data visualisation app | ||
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A dashboard for visualising different properties of the type of scotch selected by the user. | ||
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`app.ipynb` was taken from the [`voila-gridstack`](https://github.com/voila-dashboards/voila-gridstack/blob/main/examples/scotch_dashboard.ipynb) repository. |
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# Chat with a CSV | ||
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Chat with a CSV file using natural language. |
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# Environment variable | ||
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A simple app for demonstrating how to access environment variables in Ploomber Cloud. |
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# Mask generator | ||
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This tool allows you to create mask images, required by inpainting models such as Stable Diffusion Inpainting. |
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# Analytical application | ||
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An application that uses the Penguins dataset to demonstrate model prediction values given an input. |
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# Machine Learning | ||
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An application that uses the Penguins dataset to demonstrate model prediction values given an input. |
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# Mosaic visualisation app | ||
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This application uses Mosaic to display plots that are interactive and linked together through cross-filtering. |
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# Object Removal app | ||
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This app allows you to remove objects from images. |