Can Your IT Infrastructure Handle AI Demands?
Resource-constrained systems and networks can hinder the performance of enterprise large language models.
Large language models (LLMs) are rapidly evolving, bringing significant advancements in language, vision, reasoning, and real-time interaction to artificial intelligence (AI) initiatives.
However, they also pose massive, unexpected infrastructure demands that many organizations are not equipped to handle.
- LLMs require 10x to 100x more compute capability than traditional machine learning (ML) models.
- LLM training and inferencing pose unique demands.
The result is a clash between enterprise AI ambition and AI readiness.
Author's summary: IT infrastructure may struggle with AI demands.