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Post-Purchase Setup Guide

Congratulations on your new deep learning rig! This guide will walk you through the essential setup steps to get your system running optimally for AI and machine learning workloads.

Setting up a deep learning workstation involves more than just plugging in components. This section covers:

  1. Initial System Assembly - Physical setup and cable management
  2. BIOS/UEFI Optimization - Settings for maximum performance
  3. Operating System Installation - Choosing and installing the right OS
  4. Driver Installation - NVIDIA drivers, CUDA, cuDNN
  5. Software Environment - Python, frameworks, and tools
  6. Initial Benchmarking - Verify everything works correctly

A properly configured system can mean the difference between:

  • Training completing in hours vs days
  • Utilizing 95% GPU vs 60% GPU
  • Stable 24/7 operation vs random crashes
  • Efficient power usage vs excessive heat/noise

Before starting, gather:

  • Your new hardware components
  • USB drive (8GB+) for OS installation
  • Internet connection
  • Monitor, keyboard, and mouse
  • About 2-3 hours of setup time

If you’re in a hurry, follow this minimal path:

  1. BIOS Setup - 15 minutes
  2. OS Installation - 30 minutes
  3. Driver Installation - 20 minutes
  4. Environment Setup (see Troubleshooting) - 30 minutes

For optimal results, go through all guides in order:

  • Better long-term performance
  • Fewer issues down the road
  • Understanding of your system

You bought individual components and assembled them yourself. → Start with BIOS Optimization

You purchased a pre-configured workstation. → Skip to BIOS Optimization

You upgraded GPU(s) in an existing machine. → Go to Driver Installation

You have 2+ GPUs for training. → Follow standard setup, then see Multi-GPU Configuration

Once your system is running, explore:


Ready to begin? Start with BIOS Optimization or jump to your specific scenario above.