TinyChain Platform
  • What is TinyChain?
  • Guides
    • Getting Started
    • Python client introduction
    • Types and casting
    • Anatomy of an Op
    • Flow control: after, cond, while_loop
    • Closures and functional programming
    • Install a Library or Service
    • Code a compute graph
    • Debugging
    • Ask for help
  • Fundamentals
    • Install TinyChain
    • Technical Details
  • Advanced
    • Client-side Class Inheritance
  • Use Cases
    • For Engineers
    • For Data Scientists
    • For DevOps
    • For Product Owners & Executives
    • For End-Users
Powered by GitBook
On this page
  1. Use Cases

For Engineers

PreviousClient-side Class InheritanceNextFor Data Scientists

Last updated 3 years ago

TinyChain is an all-in-one backend host which allows you to rapidly prototype a complex application and scale it without rewriting. You can easily split a monolithic application into many microservices, or combine multiple services into one monolithic application. TinyChain optimizes your application's performance with automatic concurrency (multithreading) and GPU acceleration, with no extra code required. There is a Python client provided (try it out with pip3 install tinychain) but you can easily build your own client in any language by implementing TinyChain's JSON data description and protocol (see Technical Details). You can find more information in the Guides, the , the , and the .

client API documentation
tests
tutorial videos