THE CATALYST LAB 💡

AI infrastructure has changed quickly. What was once built around general-purpose GPU clusters is now shifting toward tightly integrated platforms designed for large models, high-throughput inference, and demanding HPC workloads.

Artificial intelligence is pushing data center infrastructure beyond traditional limits. Modern AI workloads rely on dense clusters of GPUs that generate intense heat in a confined space, far exceeding what

Cloud adoption keeps growing, but compliance risk grows with it. As organizations move data and workloads across public cloud, SaaS platforms, and hybrid environments, small control gaps can lead to

Cyber threats are evolving faster than most organizations can adapt. Attack surfaces are expanding, threat actors are more sophisticated, and response times are under constant pressure. At the same time,

AI workloads are changing data center cooling requirements much faster than traditional enterprise IT ever did. GPU-heavy clusters pack more compute into each rack, which increases heat density, raises energy

AI workloads are growing fast, and that growth is changing how data center networks are designed. In many AI environments, the network is no longer a supporting layer in the

Remote and hybrid work did more than change where people work. It changed where risk lives. Sensitive business data now moves through laptops, mobile devices, home networks, and cloud apps