👨‍💻
Federico Trotta's portfolio
  • My portfolio
    • Articles
    • Product Documentation
      • 4Securitas
      • Project Elevate
    • Internal Documentation
      • Internal documentation for 4Securitas
      • Internal documentation for DeAgostini
    • API Documentation
      • Zendesk API: Oauth Tokens management documentation
      • Beam API: Training a Machine Learning Model on a Serverless GPU
      • CoinGecko API: Getting Crypto Values
        • Documenting Python Code With Sphinx
    • Writing Standards I Implement
      • Grammar
      • Overall Design
Powered by GitBook
On this page
  1. My portfolio
  2. API Documentation

Beam API: Training a Machine Learning Model on a Serverless GPU

A use cases for the Beam API

PreviousZendesk API: Oauth Tokens management documentationNextCoinGecko API: Getting Crypto Values

Last updated 1 year ago

is a service that provides Data Scientists and Developers the possibility to run code on a serverless GPU, utilizing their REST API.

I had the possibility to collaborate with them to , creating a use case that describes:

  • What are serverless GPUs and why they're revolutionizing the world of data in terms of development.

  • How to log in and install the beam CLI on a Linux machine (or, via WSL in Windows).

  • A use case on how to train a Machine Learning model on the Beam serverless GPU, using its API.

Read .

Beam
their documentation
the complete use case here