Serving Multiple LoRA Adapters on a Single GPU - Implementation and Management Guide

Serving Multiple LoRA Adapters on a Single GPU - Implementation and Management Guide

Trelis Research via YouTube Direct link

- Introduction to serving multiple models on GPU

1 of 20

1 of 20

- Introduction to serving multiple models on GPU

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Serving Multiple LoRA Adapters on a Single GPU - Implementation and Management Guide

Automatically move to the next video in the Classroom when playback concludes

  1. 1 - Introduction to serving multiple models on GPU
  2. 2 - Overview of using LoRA adapters as clip-ons
  3. 3 - Video structure overview
  4. 4 - Theory of LoRA for inference
  5. 5 - Explanation of LoRA Low Rank Adapters
  6. 6 - Benefits of using LoRA for training
  7. 7 - Practical implementation of LoRA loading
  8. 8 - GPU VRAM and model loading explanation
  9. 9 - Managing adapter downloads and storage
  10. 10 - Basic LoRaX Implementation
  11. 11 - Setting up the environment
  12. 12 - Running inference with LoRaX
  13. 13 - Setting up SSH connection for Runpod
  14. 14 - Advanced vLLM Implementation
  15. 15 - Building the proxy server
  16. 16 - Redis implementation for adapter management
  17. 17 - Starting the server
  18. 18 - Testing the service
  19. 19 - FineTuneHost.com service demonstration
  20. 20 - Conclusion and resource overview

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.