Optimizing LLM Infrastructure: Beyond 'Serverless'

This discussion illuminates the crucial difference between automated container orchestration and truly serverless setups for Large Language Models (LLMs). Exploring state-aware inference systems offers exciting opportunities to boost performance and efficiency when deploying these powerful models.

• •The article challenges the common understanding of 'serverless' in the context of LLMs.
• •It points out that many setups are actually automated container orchestration.
• •The discussion highlights the importance of state-aware inference systems for LLMs.