One click GPU setup for Fine tuning
SSH, Cursor / VSCode, Jupyter Notebook
Save hours setting up GPUs with the right repo cloned and installs ready to go.
I go through setup for SSH, Cursor / VSCode, Jupyter Notebook.
Cheers, Ronan
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TIMESTAMPS:
00:00 Introduction to Efficient GPU Setup for Fine Tuning
00:14 Choosing Between Google Colab and Run Pod
02:41 Setting Up a Basic Template on Run Pod
04:55 Connecting via SSH and Terminal
12:12 Advanced Template Setup and Customisation
17:16 Conclusion and Additional Resources
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Setting Up GPU Templates for Efficient Fine-Tuning
A comparison of GPU setup options for machine learning fine-tuning, focusing on Google Colab versus RunPod, with detailed templates for quick deployment.
Google Colab Limitations
T4 GPU (free tier)
Lacks support for Flash Attention and Brain Float 16
Limited to Float 16 training
A100 GPU (paid tier)
40GB VRAM vs standard 80GB
Cannot easily chain multiple GPUs
Restricted model sizes and batch sizes
RunPod Recommended GPUs
H200: Largest VRAM capacity
B200: Fastest but with support limitations
A40: Cost-effective alternative
Basic Template Setup
Container Configuration:
PyTorch 3.11 with CUDA 12.8.1
Automatic repository cloning
Jupyter notebook environment
Connection Methods:
Direct Jupyter interface
SSH terminal access
IDE integration (VS Code/Cursor)
Advanced Template Features
Environment Setup:
HuggingFace Hub transfer enablement
System updates (apt-get)
Nano text editor installation
Git configuration
Authentication:
GitHub personal access token
HuggingFace token
SSH key configuration
Custom Kernel Registration:
Environment-specific Python kernel
Pre-installed dependencies
Automatic activation
Time-Saving Benefits
Eliminates manual repository cloning
Automates environment setup
Pre-configures authentication
Reduces startup time by 5-10 minutes per session
Enables quick instance termination and restart
Template Customization Options
Package pre-installation (e.g., UV, Unsloth)
Custom environment variables
Repository-specific configurations
Automated dependency management


Great,I have soo much interest in this.