Abstract
Artificial Intelligence (AI) technologies are developing rapidly. The significant advancements in processing power achieved through the latest generations of graphics processing units (GPUs) enable the development and deployment of increasingly complex AI models. This leads to the creation and adoption of large-scale foundation models and large language models (LLMs). These models are the cornerstone for new emerging technologies like Retrieval Augmented Generation (RAG) or Agentic AI. At the core of all of these models is data. The ability to provide high quality data through a fast storage solution is key when committing costly resources and optimizing the IT infrastructure to develop new, high quality solutions.
This IBM Redpaper describes the IBM solution for using IBM Storage Scale as enterprise storage with IBM watsonx®.ai. The paper showcases how IBM watsonx.ai® applications can benefit from the enterprise storage features and functions offered by IBM Storage Scale.
Table of Contents
Chapter 1: Introduction
Chapter 2: Solution Architecture
Chapter 3: Planning and Sizing
Chapter 4: Configuring the Solution
Chapter 5: Examples, Use Cases and Solution Application
Special Notices
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