deepinfra/cookbooks

deepinfra/cookbooks

Description: 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.

Language: Jupyter Notebook

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Open issues: 0

Created: 2025-12-15T01:25:49Z

Pushed: 2025-12-15T09:13:39Z

Default branch: main

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README:

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](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

• DeepInfra Documentation
• DeepInfra Dashboard