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Resources and Industry Insights
This resource and insight hub provides education, breaking news, our research, and more to benefit developers, corporate leadership, academics, marketing and business development professionals, and even those who are new to the concept of AI.
Hailo 8 Raspberry Pi Setup Guide for Real-Time AI Inference
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.
Adrian Araya
Jul 29, 20255 min read
Convert ONNX Models to Hailo8L: Step-by-Step Guide Using Hailo SDK
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.
Adrian Araya
Jul 29, 20258 min read
Introducing audio2blendshapes: Turn Voice into Motion
Meet audio2blendshapes, a deep learning model by RidgeRun.ai that converts raw audio into a sequence of blendshape values — the foundational data for facial animation.
Daniela Brenes
Jul 23, 20252 min read
First Steps with Hailo-8 on x86
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.
Melissa Montero
Jul 17, 20256 min read
Thinking of Buying the NVIDIA DGX Spark? These 13 Answers Cover Everything You Need
Learn everything you need to know about the NVIDIA DGX Spark—from cost and availability to Blackwell GPU specs, clustering, and GenAI readiness. This FAQ-driven guide answers 13 essential questions and shows how RidgeRun.ai helps unlock its full potential.
Marco Madrigal
Jul 16, 20253 min read
How to Run the Axelera Metis M.2 on Raspberry Pi 5
Learn how to set up and run AI models using the Axelera Metis M.2 on Raspberry Pi 5.
Daniela Brenes
Jul 16, 20255 min read
NVIDIA DGX Spark: AI Supercomputing Power on Your Desktop
Bring AI Supercomputing to Your Desk!
The NVIDIA DGX Spark delivers up to 1 PetaFLOP of AI power in a compact, desktop-ready form. With 128 GB of unified memory and Grace-Blackwell architecture, it enables local development of massive models without cloud dependency. Explore how RidgeRun.ai can help you accelerate your AI projects with DGX Spark.
Marco Madrigal
Jul 14, 20259 min read
Improving AI Model Performance Through Smart Parameter Tuning
AI models get smarter with the right training, but how well they perform hinges heavily on the fine-tuning process behind the scenes. Even the most advanced model can fall flat if its setup isn't adjusted to match its task properly. That’s where smart parameter tuning steps in. It helps you get the most out of your model without starting from scratch every time something goes off track. Think of it like making tweaks to a car before a race. If the tire pressure, fuel levels,
ridgerun
Jul 10, 20256 min read
Steps To Fix Common AI Model Deployment Errors In Production
Deploying an AI model isn’t always smooth. Even after the development phase is complete, one major hurdle still remains—getting the model to function properly once it’s live. It may run slower than expected, deliver inconsistent outputs, or even break on certain types of inputs. These issues can be frustrating, especially when everything worked fine during testing. Dealing with AI model deployment errors quickly helps prevent downtime and keeps systems running the way they’re
ridgerun
Jul 1, 20256 min read
Troubleshooting Visual Recognition Issues In Computer Vision Systems
Visual recognition systems play a big role in how machines understand what they see through computer vision AI. From identifying objects in live security footage to tracking goods in manufacturing, these systems process visual data to interpret their surroundings. But they’re not perfect. Problems like incorrect object detection, poor tracking, or inconsistent outputs can mess with operations and slow down performance when speed and accuracy matter most. When things start to
ridgerun
Jul 1, 20255 min read
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