Challenges And Solutions That Arise When Integrating HPC Technologies Into Enterprise environments Embracing AI.

In today's rapidly evolving technological landscape, the synergy between High-Performance Computing (HPC) and Artificial Intelligence (AI) has emerged as a game-changer. This presentation delves into the exciting world where computational power and massive data sets meet artificial intelligence algorithms. As AI continues to revolutionize fields like healthcare, finance, manufacturing, and beyond, the demand for Enterprise-ready HPC technologies to train and run AI models has skyrocketed. HPC-type performance, traditionally associated with scientific simulations, drug discovery, and other compute-intensive workflows, is now an indispensable requirement to AI practitioners. During this talk, we will delve into: • Challenges and solutions that arise when integrating HPC technologies into Enterprise environments embracing AI. • Real-world use cases where this convergence has resulted in groundbreaking achievements. • Anticipated trends that will shape the evolution of HPC and AI convergence. This session will also take a technical deep dive into how to automatically orchestrate multiple data sources into AI and other high-performance workloads. Organizations with massive-scale data processing and storage requirements need the performance of a parallel file system coupled with standards-based file access and enterprise-class data services. Plus, the ease of deployment and RAS capabilities needed in the enterprise, but which are easy to deploy in environments with diverse security and build requirements. We will delve into building a global data and storage architecture with a standards-based, high-performance file system that spans existing and multiple otherwise incompatible storage systems from any vendor as well as across multiple locations.