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A collection of cookbooks, tutorials, and examples for using AI models on DeepInfra. This repository provides practical guides, performance benchmarks, and production-ready code examples to help developers build with AI models efficiently. Each cookbook includes comprehensive Jupyter notebooks, benchmarking suites, and real-world use case examples.

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DeepInfra Cookbooks

A collection of cookbooks, tutorials, and examples for using AI models on DeepInfra. This repository provides practical guides, performance benchmarks, and production-ready code examples to help developers build with AI models efficiently.

What's Included

Models

  • Nemotron 3 Nano - NVIDIA's open reasoning model with hybrid MoE-Mamba architecture

Structure

Each model cookbook includes:

  • Tutorial Notebook - Step-by-step Jupyter notebook guide
  • Examples - Ready-to-run use case examples
  • Benchmarks - Performance and cost analysis tools
  • Documentation - Model-specific README with setup instructions

Quick Start

  1. Navigate to a model directory (e.g., models/nemotron-3-nano/)
  2. Install dependencies: pip install -r requirements.txt
  3. Set your DeepInfra API key: export DEEPINFRA_API_KEY="your-api-key"
  4. Follow the model-specific README for detailed instructions

Resources

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A collection of cookbooks, tutorials, and examples for using AI models on DeepInfra. This repository provides practical guides, performance benchmarks, and production-ready code examples to help developers build with AI models efficiently. Each cookbook includes comprehensive Jupyter notebooks, benchmarking suites, and real-world use case examples.

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