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Get started

  • Introduction
  • Installation and Setup
  • Onboarding and collaboration

Deploy a service

  • Introduction to service
  • Deploying your first service
  • Guides
    • Deploy a Gradio Service
    • Deploy a Streamlit Service
    • Deploy a Dockerized Service
    • Deploy a gRPC Service
    • Deploy Tensorflow Serving with gRPC
    • Add health checks
    • Monitoring metrics for your service
  • Deploy function and class
    • Deploy Python functions
    • Deploy instance of a Python class
    • Advanced Options

Deploy a Job

  • Introduction to job
  • Deploying your first job
  • Guides
    • Deploy a job with manual trigger
    • Deploy a cron job
    • Deploy a Dockerfile job
    • Deploy pre-built image
    • Advanced Options
    • Deploy a job with additional parameters
  • Log job metadata
    • Installation and setup
    • Training and logging your job metadata
    • Concepts
    • Creating a run
    • Log Parameters
    • Log Metrics over time
    • Log Artifacts
    • Log Models
    • Add Tags
    • Log images
    • Log Plots
    • Log Dataset

Deploy model directly (Beta)

  • Introduction to Model Deployment
  • Deploying you first logged model
  • Guides
    • Deploy a logged XGBoost model
    • Deploy a logged LGBM model
    • Deploy a logged Keras model
    • Deploy a logged PyTorch model

Concepts

  • Cluster and Workspace
  • Build
  • Environment Variables
  • Secrets
  • Resources
    • GPUs (Preview)
  • Ignoring files: .tfyignore
  • FileMount

Deploy

  • Model Deployment
    • Scikit-learn
    • Tensorflow / Keras (SavedModel)
    • PyTorch
  • Advanced Deployment Concepts
    • CI/CD Pipeline Integration

Monitoring

  • Getting Started
  • Concepts
  • Defining the Model Schema
  • Logging Predictions and Actuals
  • Visualizing the Logged Data
  • Fetching Inference Data

Deploying on your own cloud

  • Overview
  • Requirements
  • Connect cluster to control plane
  • Control Plane Test Installation
  • Control Plane Production Installation
  • Adding version control integration
  • Integrations
  • SSO
    • Azure AD
  • Karpenter installation on AWS cluster

Roadmap

  • Roadmap

Support

  • Getting Help

References

  • Table of Contents
  • Service
  • Job
  • Model Deployment
  • Image and Build
  • Deployments - Additional Configuration

Tutorials

  • Log dataset and retrieve it back
  • Create Gradio demo for a logged model
  • Deploy model deployment API's
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Deploy model deployment API's

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Updated 3 months ago


  • Table of Contents
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