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Setting Up Nvidia Jetson Nano, Install Pytorch and Start Working With LLMs

The article from NextBigFuture, published on January 1, 2025, provides a detailed guide on setting up an Nvidia Jetson Nano for machine learning tasks, specifically focusing on installing PyTorch and working with Large Language Models (LLMs). It outlines the steps to prepare the Jetson Nano, including flashing the JetPack SDK, setting up the development environment, and installing necessary software like Docker for containerization. The guide then delves into installing PyTorch, which is crucial for deep learning, and discusses how to optimize the setup for running LLMs efficiently on the Jetson Nano's hardware. It also covers practical applications, such as fine-tuning models, running inference, and managing memory constraints typical of edge devices like the Jetson Nano. The article emphasizes the potential of using such low-power, high-efficiency devices for AI at the edge, offering insights into performance considerations and potential use cases in robotics, IoT, and smart devices.

Read the Full NextBigFuture Article at:
[ https://www.nextbigfuture.com/2025/01/setting-up-nvidia-jetson-nano-install-pytorch-and-start-working-with-llms.html ]