Running Kubernetes on the NVIDIA Jetson Nano with Talos Linux is possible thanks to an official Talos image—but there’s a catch: it doesn’t support the Jetson’s GPU out of the box. Since Talos uses a minimal, secure architecture and NVIDIA’s L4T kernel is heavily customized, enabling GPU acceleration takes extra work. In this 2025 guide, […]
How to Run Kubernetes on Jetson Nano with Talos Linux Read More »
Build a Custom Kernel for Modern K8s Support 🚀 Unlock Full Kubernetes Support on Jetson Nano The NVIDIA Jetson Nano is a powerful and compact platform for AI and edge computing, but its default kernel is missing critical features required by modern Kubernetes workloads. If you’ve run into persistent kube-proxy sync errors, broken container networking,
Jetson Nano Kubernetes Kernel Guide Read More »
Sometimes you just want to run Kubernetes without babysitting an OS. No patching weird daemons. No apt upgraderoulette. No mystery errors after installing a “helpful” package at 2am. Enter Talos Linux: an operating system so opinionated, it makes Arch users look indecisive. Talos isn’t just a lightweight OS—it’s practically a Kubernetes appliance. It removes distractions, limits access
Running Kubernetes with Talos on Bare Metal Read More »
Just when we thought AI-generated text and images were wild enough, we’re now entering a new chapter: text-to-video generation. But here’s the twist — it’s no longer just a cloud-only, GPU-farm kind of thing. We’re starting to see early tools that can run locally, on your own machine, turning short prompts or still images into motion.
Generating Video with AI — Locally: The Next Frontier Is Already Here Read More »
AI image generation is no longer a sci-fi fantasy—it’s a powerful creative tool that anyone can use right from their browser, no fancy GPU or wizard hat required. Whether you’re a designer looking for inspo, a meme lord trying to make the next viral banger, or just someone who wants to see what a “dragon
The 5 Best Free AI Image Generators (2025) Read More »
🎯 Mastering the Art of AI Image Prompts: The Definitive Guide Text-to-image models are like genies with graphic tablets. But to get that perfect wish granted—be it a neon raccoon in a cyberpunk alley or a Renaissance-style cheeseburger portrait—you need to speak their language: the prompt. This guide is a follow-up to my intro to AI
From Words to Art: How to Craft Perfect Text-to-Image Prompts Read More »
🧠 The Power of Language Models (and Why Prompts Engineering Matter) Large language models (LLMs) like GPT-4, Claude, and Gemini aren’t magic, but they’re pretty close. They can write essays, debug code, summarize research, translate across languages, and even reason through logic puzzles. But here’s the catch: you only get great results if you know how
Intro to Prompt Engineering: Unlocking the Full Power of LLMs Read More »
AI, short for artificial intelligence, is one of the most exciting (and confusing) revolutions of our time. It’s suddenly everywhere: writing emails, chatting with you, creating art, even making business decisions. But what is it really? And how did we get here? Let’s break it all down — clearly, simply, and with a few laughs along
A Beginner’s Guide to the Buzz and the Brilliance of AI Read More »
So you’ve built GCC 8.5, survived the make -j6 wait, and now you’re eyeing llama.cpp like it’s your ticket to local AI greatness on a $99 dev board.With a few workarounds (read: Git checkout, compiler gymnastics, and a well-placed patch), you can run a quantized LLM locally on your Jetson Nano with CUDA 10.2, GCC 8.5, and a Prayer. Will it
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Let’s be real: working with CUDA 10.2 on the Jetson Nano is like trying to install Photoshop on a potato. It can work — but only if you speak its ancient dialect. That dialect? GCC 8.x. Let’s build! Whether you’re experimenting with local LLMs, compiling CUDA-based projects, or just tired of getting slapped by “unsupported compiler” errors,
Compiling GCC 8.5 on Jetson Nano Read More »
