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  • Welcome to DataCrunch
    • Overview
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  • GPU Instances
    • Set up a GPU instance
    • Securing Your Instance
    • Shutdown, Hibernate, and Delete
    • Adding a New User
    • Block Volumes
    • Shared Filesystems (SFS)
    • Managing SSH Keys
    • Connecting to Your DataCrunch.io Server
    • Connecting to Jupyter notebook with VS Code
    • Team Projects
    • Pricing and Billing
  • Clusters
    • Instant Clusters
      • Deploying a GPU cluster
      • Slurm
      • Spack
      • Good to know
    • Customized GPU clusters
  • Containers
    • Overview
    • Container Registries
    • Scaling and health-checks
    • Batching and Streaming
    • Async Inference
    • Tutorials
      • Quick: Deploy with vLLM
      • In-Depth: Deploy with TGI
      • In-Depth: Deploy with SGLang
      • In-Depth: Deploy with vLLM
      • In-Depth: Deploy with Replicate Cog
      • In-Depth: Asynchronous Inference Requests with Whisper
  • Inference
    • Overview
    • Authorization
    • Audio Models
      • Whisper X
  • Pricing and Billing
  • Resources
    • Resources Overview
    • DataCrunch API
  • Python SDK
  • Get Free Compute Credits
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  • DataCrunch API
  • Python SDK
  • Full docs as .txt

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  1. Resources

Resources Overview

Last updated 17 days ago

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DataCrunch API

The DataCrunch API provides direct, programmatic access to DataCrunch.io's powerful GPU and CPU infrastructure. This RESTful API enables developers to integrate high-performance computing resources directly into their applications, automation workflows, and development pipelines.

It is ideal for DevOps teams, infrastructure engineers, and organizations looking to build their own tooling for high-performance computing infrastructure.

Full API docs available at:

Python SDK

The DataCrunch Python SDK is an official client library that simplifies interaction with the DataCrunch.io API. This SDK enables developers to manage GPU and CPU instances for AI and machine learning workloads with consistent python interface.

More information at:

Full docs as .txt

Take the full DataCrunch documentation to your LLMs with the txt file.

https://api.datacrunch.io/v1/docs
https://github.com/DataCrunch-io/datacrunch-python
177KB
datacrunch_docs.txt