Can Your IT Infrastructure Handle AI Demands?
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 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, as many enterprise data centers were not designed for the technical demands of AI, generative AI, and their underlying LLMs.
Large language models bring powerful advances in language, vision, reasoning, and real-time interaction to artificial intelligence (AI) initiatives.
Author's summary: IT infrastructure may struggle with AI demands.