Version 0
Accelerate your DS workflows though NetBook
Here are the functionalities NetBook provides you to remove compute bottlenecks from Data Science workflows
Projects
Create a project with your team and control access to the project with your team members
Custom Environments
Create custom project environments through platform by either of the methods
GitHub Import
UI package picker
Docker file upload
Workspaces
Create 1 click project workspaces on custom environments to cut down the package installation times.
Pause workspaces when ever unused and resume with a different compute instance or storage
Custom Start Stop
Setup triggers to automatically shutdown instances when unused to save cloud costs
Triggers include
CPU, GPU utilization
Idle timeout
BYOC
Now you can connect your own AWS account and use NetBook's UI to simplify the compute complexity
Connect your private Data Centre servers to NetBook UI ( Still in beta)
Distributed GPU Trainings
Run Multi node GPU trainings on Kubernetes with 1 click setup support for
Torch Elastic
What's covered for the next version
Distributed GPU training support for
Tensorflow distributed
Pytorch Lightning
Portable workspaces from AWS to Azure
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