In this study, we are going to learn how to train and deploy models in multi-gpu environment.

you will learn how to:

• Seamlessly set up and manage multi-GPU environments, making it second nature to scale your models.
• Accelerate training times significantly, enabling faster experimentation and iteration.
• Leverage cloud computing resources, expanding your computational capabilities beyond local hardware.
• Adopt best practices in distributed systems, applicable across various domains such as Computer Vision (CV), Large Language Models (LLMs), and Reinforcement Learning (RL).

https://neptune.ai/blog/distributed-training