Getting Started with Float16.cloud: A Comprehensive Guide

Float16 Team
5 min read
Getting Started with Float16.cloud: A Comprehensive Guide

Getting Started with Float16.cloud

Welcome to Float16.cloud! This guide will help you deploy your first AI model on our serverless GPU platform.

What is Float16.cloud?

Float16.cloud is a serverless GPU platform designed for AI developers and researchers. We provide on-demand GPU resources that scale automatically with your needs.

Quick Start

1. Create Your Account

Sign up at float16.cloud and verify your email address.

2. Choose Your GPU

We offer various GPU options:

  • NVIDIA A100
  • NVIDIA H100
  • NVIDIA RTX 4090

3. Deploy Your Model

import float16

# Initialize client
client = float16.Client(api_key="your-api-key")

# Deploy your model
deployment = client.deploy(
    model="your-model",
    gpu="A100",
    memory="40GB"
)

Best Practices

  1. Optimize your model - Use quantization when possible
  2. Monitor usage - Keep track of GPU hours
  3. Use auto-scaling - Let the platform handle traffic spikes

Conclusion

Float16.cloud makes GPU deployment simple and cost-effective. Start building your AI applications today!

FAQ

Q: How much does it cost? A: We offer pay-as-you-go pricing starting at $0.50 per GPU hour.

Q: Can I use my own Docker images? A: Yes, we support custom Docker images with any ML framework.

Q: Is there a free tier? A: Yes, new users get $10 in free credits to get started.

Float16 Team

Float16 Team

Cloud infrastructure and AI specialists