Getting Started

Welcome to TRITIUM

TRITIUM is an enterprise-grade AI infrastructure platform that enables you to build, train, and deploy AI models at scale. This guide will walk you through the fundamentals and help you get started with your first project.

Prerequisites

  • Basic understanding of machine learning concepts
  • Familiarity with Python or JavaScript
  • A TRITIUM account (sign up at tritium.com)

Step 1: Account Setup

After creating your account, you'll need to:

  1. Verify your email address
  2. Complete your profile setup
  3. Generate your first API key
  4. Choose your preferred region

Step 2: Install the SDK

Install the TRITIUM SDK for your preferred programming language:

# Install the SDK
pip install tritium-sdk

# JavaScript/Node.js
npm install @tritium/sdk

Step 3: Initialize Your Client

Set up your TRITIUM client with your API key:

import
tritium


client = tritium.Client(
api_key="your-api-key-here"
)

Step 4: Deploy Your First Model

Now you're ready to deploy your first model:

# Deploy a pre-trained model
model = client.models.deploy(
name="my-first-model",
framework="pytorch",
model_path="./model.pt"
)


# Check deployment status
print(model.status)

Next Steps

Congratulations! You've successfully deployed your first model. Here's what you can explore next:

  • Learn about model training and fine-tuning
  • Explore advanced deployment options
  • Set up monitoring and logging
  • Configure team collaboration features

Need Help?

If you encounter any issues or have questions, please contact our team at hello@tritium.com.