Mixture-of-Experts (MoE) for Efficient Inference

Challenges in Applying Parallelization to LLM Inference

Applicability of Pre-training Parallelism Strategies to LLM Inference

Complexity of LLM Serving Systems

A development team has successfully used a distributed computing strategy to spread a large model's computational work across multiple devices during its initial training phase. They now plan to use this exact same distributed setup to run the model for a live, user-facing application. Which statement best analyzes the viability of this plan?

Scaling an LLM-Powered Service

Match each parallelization strategy with the description of how it distributes computational work across multiple devices.