🚀 Getting Started
New to deep learning rigs? Start here for essential guides and first steps.
🚀 Getting Started
New to deep learning rigs? Start here for essential guides and first steps.
🔧 Post-Purchase Setup
Set up your new workstation: BIOS optimization, OS installation, drivers, and initial configuration.
⚡ Training Optimization
Master batch sizes, learning rates, GPU memory management, and data loading for maximum performance.
🎯 Workload-Specific Guides
Optimize for your specific use case: Computer Vision, NLP, or Multi-GPU training.
📊 Monitoring & Maintenance
Keep your system healthy with proper monitoring, alerts, and maintenance schedules.
🔍 Troubleshooting
Fix common issues with CUDA, GPUs, Conda environments, and deep learning frameworks.
💻 Scripts
Ready-to-use bash scripts for data management, permissions, and workflow automation.
🖥️ HPC & Cloud Resources
Work with cluster environments, batch systems, and high-performance computing setups.
🛒 Hardware Selection
Need to choose components? Visit the main TensorRigs site for GPU, CPU, and system comparisons.
This documentation provides practical solutions for building, configuring, and maintaining deep learning systems:
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.