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TensorRigs Documentation

Your Complete Guide to Deep Learning Infrastructure & Troubleshooting

🚀 Getting Started

New to deep learning rigs? Start here for essential guides and first steps.

Get Started →

🔧 Post-Purchase Setup

Set up your new workstation: BIOS optimization, OS installation, drivers, and initial configuration.

Setup Guide →

⚡ Training Optimization

Master batch sizes, learning rates, GPU memory management, and data loading for maximum performance.

Optimize Training →

🎯 Workload-Specific Guides

Optimize for your specific use case: Computer Vision, NLP, or Multi-GPU training.

Workload Guides →

📊 Monitoring & Maintenance

Keep your system healthy with proper monitoring, alerts, and maintenance schedules.

Monitor System →

🔍 Troubleshooting

Fix common issues with CUDA, GPUs, Conda environments, and deep learning frameworks.

View Solutions →

💻 Scripts

Ready-to-use bash scripts for data management, permissions, and workflow automation.

Browse Scripts →

🖥️ HPC & Cloud Resources

Work with cluster environments, batch systems, and high-performance computing setups.

Explore HPC →

🛒 Hardware Selection

Need to choose components? Visit the main TensorRigs site for GPU, CPU, and system comparisons.

Browse Hardware →


This documentation provides practical solutions for building, configuring, and maintaining deep learning systems:

  • Post-Purchase Setup - BIOS optimization, OS installation, driver setup
  • Environment Management - Conda, pip, virtual environments
  • Multi-GPU Configuration - Distributed training setup
  • Training Optimization - Batch size, learning rate, memory management
  • Data Loading - Eliminate bottlenecks for maximum GPU utilization
  • Workload-Specific Tuning - Computer Vision, NLP, Multi-GPU strategies
  • System Monitoring - GPU health, temperature, utilization tracking
  • Troubleshooting - CUDA errors, driver issues, framework problems
  • Preventive Maintenance - Keep your system running optimally
  • HPC Integration - Cluster environments and batch systems
  • Automation Scripts - Data management, permissions, workflows
  • Remote Access - Monitor and manage your rig from anywhere

Companion to TensorRigs.com - Use the main site for hardware selection, then return here for setup and optimization guides.

Built for researchers, students, and ML engineers working with deep learning systems.