AI Notebooks - Billing and lifecycle
Learn how we bill AI Notebooks
Learn how we bill AI Notebooks
Last updated 27th April, 2022.
The OVHcloud AI Notebooks service provides you with Jupyter or VSCode notebooks, linked to CPU or GPU resources, without the hassle of installing or operating them. This guide will cover the lifecycle of a notebook, and associated billing.
AI Notebooks are linked to a Public Cloud project. The whole project is billed at the end of the month, with pay-as-you-go. It means you will only pay for what you consume, based on the compute resources you use (CPus and GPUs) and their running time.
During its lifetime, the notebook will go through the following statuses:
STARTING: the notebook is being started and, if any, the remote data is synchronized. To learn more about data synchronization, please check out the Data - How it works documentation.
RUNNING: the notebook is running, you can connect to it and use it. Compute resources (GPUs/CPUs) are allocated to your specific notebook and data are available.
STOPPING: the notebook is stopping, your compute resources are freed, your status is saved and, if any, the data is synchronized back.
STOPPED: the notebook ended normally. You can restart it whenever you want or delete it.
FAILED: the notebook ended in error, e.g. the process in the notebook finished with a non 0 exit code. For more information, refer to this section of our Troubleshooting documentation.
ERROR: the notebook ended due to a backend error. You may reach our support.
DELETING: the notebook is being removed. When it is deleted, you will no longer see it, it will no longer exist.
AI Notebooks are a pay-per-use solution. You only pay for the resources consumption, during the
RUNNING phase of your notebooks.
Billing principle is quite simple, you select the amount of compute resource (CPUs or GPUs) you would like to work with and pay only for this.
Included in AI Notebooks resources:
Optional with AI Notebooks:
Visual explanations about paid items:
A more detailed view:
Rates for compute are mentioned per hour to facilitate reading of the prices, but the billing granularity remains per minute.
Each compute resource (CPU or GPU) comes with local storage, that we can consider ephemeral since this storage space is not saved when you delete an AI Notebooks.
The sizing depends on the selected amount of compute resources, check the details on the OVHcloud Public Cloud website.
When working with remote data, you pay separately for the storage of this data. The pricing of object storage is apart from the notebook pricing.
When you attach remote data to an AI Notebook, you can select the mounting point. If you opt for /workspace/*, we will save your data when you stop your notebook.
This workspace is saved as long as your notebook is in
We start one AI Notebook, with two GPUs and we keep it running for 10 hours then we delete it.
Price calculation for compute: 10 (hours) x 2 (GPU) x 1,75€ (price / GPU) = 35 euros, billed at the end of the month
We start one AI Notebook, with two GPUs and we keep it running for 10 hours then we stop it and finally we delete it after 10 days.
Price calculation for compute : 10 (hours) x 2 (GPU) x 1,75€ (price / GPU) = 35 euros, billed at the end of the month Price calculation for workspace : 90 (GB) x 0,01€ (price for object storage / GB) = 0,9 euros, billed at the end of the month
We start one AI Notebook, with two GPUs and 1TB remote storage. We keep it running for 10 hours then we delete it.
Price calculation for compute: 10 (hours) x 2 (GPU) x 1,75€ (price / GPU) = 35 euros, billed at the end of the month Price calculation for workspace: 1000 (GB) x 0,01€ (price for object storage / GB) = 0,9 euros, billed at the end of the month
Also, price calculation for remote Object Storage : 1000 (GB) x 0,01€ (price for object storage / GB) = 10 euros, billed at the end of the month
We start 15 AI Notebooks, each of them with one vCPU
Price calculation for compute: 15 (notebooks) x 5 (hours) x 1 (CPU) x 0,03€ (price / CPU) = 2,25 euros, billed at the end of the month
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