2 months ago

As machine learning (ML) technologies evolve, the choice of computing resources becomes a pivotal decision influencing both performance and cost efficiency. Llama (which stands for Large Language Model Meta AI) exemplifies this shift.

This may make Llama models a viable option for deployment on serverless platforms — that is, if there’s a model that fits within the limitations of serverless compute. The first challenge will be to figure out which Llama models to experiment with, as there are many to choose from.

Ultimately, serverless compute will likely struggle with larger models or when the application demands intensive computation over sustained periods.