Enterprise IT Insights, Product Reviews & Strategy!
Enterprise IT teams are being asked to do more with less. Hardware costs remain high. Refresh cycles continue. Some product categories still face long lead times, especially when projects depend on specific server, storage, or networking platforms. At the same
When hyperscale’s, large cloud and internet operators upgrade to a newer generation of GPUs and AI servers, their older hardware does not automatically become obsolete. Much of that capacity can move to a different job. A GPU that is no
Upgrading an HPE ProLiant server is rarely just a parts swap. It is a chance to fix bottlenecks, add resilience, and extend the useful life of a platform that already supports core business systems. For most IT teams, the real
Campus networks are under growing pressure. Organizations must support more devices, deliver consistent performance, and maintain strong security all while keeping operations manageable. With connected devices projected to exceed 29 billion globally by 2030, network scale is no longer a
Rising infrastructure costs, long lead times, and refresh pressure are forcing enterprise buyers to make tougher hardware decisions. Many teams still need to expand capacity, replace aging systems, or support legacy environments, but they also need to manage budget more
E-Rate covers eligible internet access, data transmission, and certain internal network infrastructure for schools and libraries. It helps reduce the cost of connectivity and network projects, but it does not cover every IT purchase. For K-12 schools, libraries, and SLED
At Catalyst Data Solutions, we build a multi-OEM shortlist by defining the workload, current environment, project limits, and decision criteria before we recommend a manufacturer. We remove options that fail technical, operational, support, timing, or budget requirements. We then compare
Before buying enterprise GPUs, assess the full environment that must support them. Start with the AI workload. Then check server compatibility, network capacity, storage performance, rack power, cooling, software, security, and operations. The goal is to answer three questions: What
Your existing data center may support AI without a full replacement, but each layer must be tested against the actual workload. The key question is not the age of the environment. It is whether the servers, storage, network, power, cooling,
A traditional hardware reseller helps a customer locate, purchase, and receive IT equipment. Catalyst Data Solutions supports a broader infrastructure decision that can begin before a product is selected and continue through deployment, support, refresh, and asset retirement. The distinction
Enterprise IT teams are under pressure from both sides. New infrastructure is expensive, lead times can be unpredictable, and refresh cycles are happening faster in data centers, edge environments, and AI-driven deployments. At the same time, retired hardware still carries
Enterprise IT buying is no longer a simple choice between the newest model and the lowest price. Most teams are working through a more practical set of questions: how to meet performance needs, control spending, avoid delays, and make better
