Coverage Areas Include (But are Not Limited To):

• LLMs, Generative AI, and the evolution of Artificial General Intelligence (AGI)
• Private, Public, and Hybrid Cloud Infrastructure and ongoing trends to converge and scale this infrastructure.
• Datacenter design, upgrades, retrofits, citing and energy usage issues related to industry trends around hyperscale and hyper-collapsed facilities.
• Storage trends, including: disk, solid-state, hybrid and all-flash arrays as well as ongoing attempts to add intelligence to datacenter and cloud storage arrays.
• Virtualization, open source software development, application development and deployment, and general DevOps issues.
• Machine/deep learning, advanced modeling/simulation, high performance data analytics and the technologies that enable them, including high performance data centers, cloud computing, advanced networking, high performance storage, AI silicon and AI frameworks.
• Emerging distributed computing strategies that can be used to support AI implementations, including IoT, blockchain and edge-core-cloud distributed infrastructures.
• Cognitive computing, bots, robotics, and industrial automation
• Networking trends designed to bring compute and data closer together to promote more timely data analysis. Coverage areas include software-defined networks, containers, fabric interconnect technology, standards, and more.
• Systems and components, including: servers, rack systems, hypervisors, virtual machines and other cloud technologies that expand the compute, storage and network capacity of modern datacenters.
• Internet of Things/Everything and the challenges it presents to enterprises seeking to cope with vastly greater volumes of sensor and device data.
• Security protection trends, technology, and challenges.