Enterprise IT Insights, Product Reviews & Strategy!
The modern data center operates in an environment where downtime is no longer acceptable. As digital services expand across industries, uninterrupted power has become essential for maintaining reliability and business continuity. High-density workloads especially those driven by AI, cloud computing,
Enterprise IT buyers face a hard problem. New hardware costs more, lead times can slow down projects, and some parts become difficult to find right when teams need them most. At the same time, buying used equipment without a clear
Server memory decisions have become more important in 2026. Many organizations still run stable DDR4 servers, while newer platforms are moving toward DDR5 for higher bandwidth, larger capacity, and better long-term support. The challenge is simple: DDR5 is not always
A server upgrade solves one problem but creates another: what happens to the old enterprise servers left behind? These systems may no longer run production workloads, but they can still contain sensitive data, useful parts, resale value, and environmental risk.
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 demand, and puts more pressure on uptime. In AI infrastructure,
Data centers run the systems that support cloud platforms, AI workloads, storage, networking, and enterprise applications. But as demand grows, data centers face a difficult challenge: they must expand capacity while reducing waste, energy use, and hardware costs. Data center
AI infrastructure procurement is no longer just about finding GPUs at the right price. A successful deployment depends on the full bill of materials (BOM), including memory, CPUs, SSDs, NICs, optics, power, cooling, cables, and other parts that must arrive
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 audit failures, fines, or breaches. Cloud security compliance is not
Catalyst Data Solutions Inc is a vendor-neutral infrastructure and lifecycle partner for organizations modernizing complex hybrid and on-prem environments. We support architecture, hardware sourcing, deployment, ongoing operations, maintenance, and IT asset disposition, with the exact mix defined by each project.
School IT project funding rarely comes from a single source. A network refresh, Wi-Fi upgrade, cybersecurity project, server replacement, or laptop refresh often requires several funding paths working together. For K–12 schools, libraries, and SLED buyers, the goal is not
Enterprise hardware is expensive to buy, hard to source, and often replaced before it has lost all business value. Servers, switches, storage arrays, laptops, GPUs, and network equipment may leave the production environment, but that does not always mean they
Cloud vs. Neocloud vs. On-Prem vs. Secondary Hardware is not a simple question of which option is cheapest. The best place to run an AI workload depends on how much compute you need, how often you use it, how fast
