AI-Ready Infrastructure: Building the Foundation for New York’s AI Era
What NY IT Leaders Are Learning About Compute, Network, and Data in the AI Era
Artificial Intelligence is reshaping everything from research and analytics to cybersecurity and digital services. But AI success doesn’t start with models, it starts with infrastructure.
Across New York, technology leaders are discovering that AI workloads place entirely new demands on compute density, east-west networking, storage performance, and data architecture. At the same time, organizations must make critical architectural decisions early: should AI initiatives be built in public cloud, private cloud, hybrid environments, or on-premise infrastructure, and how does that choice impact cost, performance, security, and long-term scalability?
This discussion brings together infrastructure practitioners and technology partners to share real-world lessons on what it takes to support AI at scale, how to evaluate cloud versus on-prem strategies as AI adoption is engineered, and where organizations are underestimating the challenge.
Brought to you by ConvergeIP, Neuvys, and Arista
