Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product.
When developers first learn about Large Language Models, they focus on transformers, attention mechanisms, datasets, and GPUs.
Then reality hits.
A modern frontier model might be trained on thousands of GPUs simultaneously. The challenge is no longer just matrix multiplication. The real challenge becomes communication.
How do 4,000 GPUs continuously exchange gradients, activations, parameters, and synchronization signals without spending all their time waiting on each other?
