name: Deploy Website

on:

push:

pull_request:

jobs:

deploy_website:

runs-on: ubuntu-latest

steps:

- name: Checkout code

uses: actions/checkout@v4

with:

ruby-version: 3.1.3

env:

NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}

NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}

Training large models on petascale datasets is essential for achieving competitive and state-of-the-art performance in applications such as speech, video analytics, and object recognition. However, existing distributed filesystems were not designed for the access patterns and usability requirements of petascale AI jobs.