Resources and Industry Insights

Learn how to set up the Hailo-8 AI accelerator on a Raspberry Pi 5 and run real-time inference with minimal setup. This step-by-step guide covers hardware connection, software installation, and executing sample AI pipelines, perfect for anyone starting with edge AI.

Want to deploy your ONNX model on the Hailo-8L AI accelerator? This step-by-step guide walks you through converting ONNX models to Hailo8L format using the Hailo SDK. Learn how to parse, calibrate, quantize, and compile your models into HEF files ready for real-time inference on edge devices like the Raspberry Pi. Perfect for developers working in embedded AI.

Learn how to set up the Hailo-8 AI accelerator on any x86 PC. From connector choices to running your first inference—step-by-step guide & tips.

Learn how to set up and run AI models using the Axelera Metis M.2 on Raspberry Pi 5.

NVIDIA's ecosystem of Omniverse, Isaac Sim, and Cosmos forms a powerful trio for robotics and AI development. Omniverse provides the collaborative 3D simulation platform, Isaac Sim enables realistic robotics testing, and Cosmos uses generative AI to accelerate synthetic data creation. This blog explains how these tools work together, their strengths, and when to use each to streamline your development workflow.

This tutorial will show you how to get started with UV: a fast Python manager for packages and projects.

Discover how to build a simple MCP server in Python to manage a to-do list example using the Model Context Protocol (MCP). This step-by-step guide walks you through creating the server, connecting it to Claude for Desktop, and enabling seamless interaction between AI models and real-world tools.

Easily switch between OpenAI and local LLMs like Ollama using the same API! This post shows how to wrap the OpenAI Python (and JavaScript) client to talk to Ollama with minimal changes, letting you develop and test locally without sacrificing the familiar OpenAI interface. Learn how to install Ollama, pull models like llama3.1, and build a unified interface that works across both platforms.

This guide will help you install CUDA in your Ubuntu machine in the simplest way.

A tutorial on how to train LLMs using Python, Hugging Face and Unsloth.