Building a $1300 AI Server from Scratch: A Detailed Walkthrough
2025-06-06
This post details the author's journey of building a personal AI server for under $1300. The process is meticulously documented, from procuring hardware (including an Nvidia RTX 4070 GPU) and assembly, to installing Ubuntu Server and configuring software such as Nvidia drivers, the CUDA toolkit, and Python. The author outlines their hardware selection rationale, provides diagnostic commands, and explains how to set up remote management. The advantages of an on-premise server are highlighted: unrestricted learning, hands-on operational experience, and long-term cost savings. While limited in scale, this setup proves useful for smaller AI experiments.
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