SUMMARY.md

Table of contents

• About Paperspace Gradient

Get Started

• Quick Start
• Core Concepts
• Install the Gradient CLI

Tutorials

• Getting Started with Notebooks
• Train & Deploy an ML Model with the Gradient CLI
• Train & Deploy an ML Model with the Experiment Builder
• Registering Models in Gradient
• Using Gradient Deployments
• Launching Notebooks from Custom Containers

Notebooks

• About
• Create a Notebook
• Notebook Actions
  • Start a Notebook
  • Stop a Notebook
  • Fork a Notebook
  • Share a Notebook
  • Delete a Notebook
  • Rename a Notebook
• Notebook Containers
  • Building a Custom Container
• Community (Public) Notebooks

Public Profiles

• Public Profiles

Projects

• About
• Create a Project via the GUI
• Create a Project via the CLI
• Deleting a Project
• GradientCI

Experiments

• About
• Run Experiments via the GUI
• Run Experiments via the CLI
• Gradient Config File
• Distributed Machine Learning with Tensorflow
• Distributed Machine Learning with MPI
  • Distributed Training using Horovod
  • Distributed Training Using ChainerMN
• Hyperparameter Tuning
• Containers: Public & Private

Jobs

• About
• Create a Job
• Stop a Job
• Delete a Job
• List Jobs
• Job Logs
• Job Artifacts
• Job Metrics
  • System Metrics
  • Custom Metrics
• Public Jobs

Models

• About
• Create a Model
• Model Path, Parameters, & Metadata

Deployments

• About
• Prepare Models for Deployment
• Create & Manage Deployments via the GUI
• Create a Deployment via the CLI
• A Deployed Model's RESTful API
• Optimize Models for Inference
• Deployment States

TensorBoards

• About
• Using TensorBoards via the GUI
• Using Tensorboards via the CLI
• TensorBoards via TensorFlow Scripting

Machines

• About
• Create a Machine via the GUI
• Create a Machine via the CLI
• Check a Machine's availability
• Destroy a Machine
• List Machines
• Restart a Machine
• Show a Machine
• Start a Machine
• Stop a Machine
• Update a Machine
• Check a Machine's utilization
• Wait For a Machine

Data

• Types of Storage
• Managing Data in Gradient
• Managing Persistent Storage with VMs
• Public Datasets Repository
• Private Datasets

Instances

• Instance Types
• Free Instances (Free Tier)
• Instance Tiers
• Preemptible Instances

Gradient SDK

• Gradient SDK
  • Projects Client
  • Experiments Client
  • Models Client
  • Deployments Client
  • Jobs Client
• End to end tutorial
• Full SDK Reference

Gradient Private Cloud

• About
• Requirements
• Setup
• Gradient AMI
• Usage
• Node Attributes
• Storage

Release Notes

• Product release notes
• CLI/SDK Release notes