NetBook
  • The Basics
    • About
      • 🧑‍🤝‍🧑Community
    • 🔰Getting Started
      • 🤟Introduction
    • 🛒Components
      • ⚒️WorkFlow
      • 👨‍🏫Projects
      • 🟩Dashboard
      • 🌐Workspaces
        • Overview
        • Quickstart
      • ⛏️Experiments
        • Setting Up your Code
        • Creating Training Docker Image
        • Training Data Setup
        • Start a New Training Job on NetBook UI
      • 🖥️Compute Backends
        • Add your Kubernetes Clusters
          • Create Kubernetes Cluster on E2E Nodes
          • Creating Kubernetes Cluster on Bare Metal Servers
      • 🧑‍💻Environments
        • Overview
        • Quickstart
    • 💳Accounts
      • 🌥️Bring your own Cloud
        • Azure
          • Setup in your Azure
          • Adding Credentials to Netbook Portal
        • AWS
          • Setup in your AWS account
          • Adding Credentials to NetBook Portal
    • 💵Billing
    • 🔧Settings
  • Api Docs
    • Api documentation
  • Issues and resolutions
    • Slack Support
  • Release Notes
    • Version 0
  • OpenSource
    • Docs
      • Spawner
        • reference
          • Cluster
          • Nodes
        • Setup
        • Usage examples
        • Issues and Troubleshooting
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  1. Release Notes

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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Last updated 3 years ago