Creating a 50 GB Swap File on Jetson AGX Orin (Root on NVMe)

Abstract This document describes the process of creating, tuning, and managing a large swap file on an NVIDIA Jetson AGX Orin 64 GB running Ubuntu 22.04.5 LTS aarch64. The configuration is specifically optimized for running large language models (LLMs) alongside CUDA, cuMB, and TensorRT by leveraging a fast NVMe SSD as the primary swap backing store. The implementation was validated using a 50 GB swap file configuration alongside existing zram layers. The procedure successfully extended the usable memory capacity, allowing for the deployment of larger models without triggering immediate Out-Of-Memory (OOM) errors, provided the storage-to-RAM paging latency is acceptable. This tutorial serves as a technical reference for advanced Jetson and Linux users. It provides a reproducible method for extending virtual memory on edge AI hardware to support demanding 34B–70B parameter models. 1. Hardware and Software Environment The target environment is an NVIDIA Jetson AGX Orin Developer Kit equi