Async LLM Workloads: A Shift in AI Infrastructure Focus

This post highlights a fascinating trend in how the industry is using Large Language Models (LLMs). The focus is moving towards offline, asynchronous applications, offering a chance to rethink the economics of AI infrastructure and unlock new possibilities. This shift away from millisecond-level focus is opening exciting new avenues.

• •Offline workloads like evaluation pipelines and dataset labeling are becoming increasingly important.
• •The economics of AI infrastructure are changing as the focus shifts away from real-time processing.
• •This trend could lead to new applications and innovations in Generative AI.