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.
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 […]
Running llama.cpp on the Jetson Nano Read More »
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 »
So, you’ve dusted off your trusty Jetson Nano, a noble edge AI companion from yesteryear — and you’re ready to teach it some new tricks. There’s just one problem: it’s still rocking Python 3.6, like it’s stuck in 2018. Time to update that thing and unlock the magical powers of Python 3.8, 3.10, or even the
Updating Python on Your Jetson Nano Like a Pro Read More »
The NVIDIA Jetson Nano has become one of the most beloved development boards in the maker and robotics communities — and for good reason. It brings the power of AI to your desk or workbench in a compact, affordable, and energy-efficient form. Whether you’re building a smart robot, experimenting with computer vision, or exploring deep
Jetson Nano Developer Kit Read More »
