IT Infrastructure and AI Demands
Resource-constrained systems and networks can undermine enterprise large language models.
Large language models (LLMs) are evolving quickly, bringing powerful advances in language, vision, reasoning, and real-time interaction to artificial intelligence (AI) initiatives.
However, they also bring massive, unexpected infrastructure demands that many organizations aren’t prepared 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.
Many enterprise data centers were not designed for the technical demands that characterize AI, generative AI, and their underlying LLMs.
Author's summary: AI demands can overwhelm IT infrastructure.