When you use Notebooks, you pay for the Google Cloud resources you use with your Notebooks instances, such as Compute Engine. For example:
Compute Engine resources: You can incur costs from the time that you create a Notebooks instance until you delete the Notebooks instance. The default Notebooks machine type is n1-standard-4, but you can choose a different machine type. You are also charged for a 100 GB Standard Persistent Disk, which is used as a boot disk (see Storage resources). The boot disk is deleted when the VM instance is deleted. For instances without attached disks, you won't be charged when the instance is shut down. If your instance has a disk, you must delete the instance to stop incurring costs.
Data Analysis Services: You incur BigQuery costs when you issue SQL queries within Notebooks (see BigQuery Pricing). Also, when you use AI Platform Training or AI Platform Prediction, you might incur AI Platform Training and AI Platform Prediction costs or Dataflow charges.
Customer-managed encryption keys: You incur costs when you use customer-managed encryption keys. Each time your Notebooks instance uses a Cloud Key Management Service key, that operation is billed at the rate of Cloud KMS key operations (see Cloud KMS pricing).
Other resources: You may incur costs for other API requests you make within the Notebooks environment. These costs will vary by API.
Starting September 20, 2021, Notebooks will charge a small management fee per-hour in addition to the cost of underlying Virtual Machine resources:
vCPU usage will incur a charge of $.005 USD per core hour
T4, K80, and P4 usage will incur a premium of $.05 USD per core hour
P100, V100 and A100 usage will incur a premium of $.30 USD per core hour
See our pricing update for more details.
When you create a new notebook and specify your instance options, Notebooks provides a monthly cost estimate. See the Google Cloud Pricing Calculator for more information.
- Read the Notebooks documentation.
- Try the Pricing calculator.
- Learn about Notebooks solutions and use cases.