THE CATALYST LAB 💡

The demand for AI-ready, high-density infrastructure is accelerating as organizations adopt advanced analytics, edge computing, and hybrid cloud strategies. Data centers are no longer just storage hubs. They are becoming performance-driven environments that support diverse, compute-intensive workloads. The HPE ProLiant

OEM IT hardware sourcing can help schools, libraries, and SLED buyers make smarter buying decisions when budgets are tight, timelines are short, or equipment is hard to find. Instead of relying on one buying path, teams can compare OEM direct

Enterprise AI infrastructure is shifting from the Ampere generation to Hopper, driven by growing demand for large language models, high-throughput analytics, and production-scale inference. Organizations that once relied on A100 GPUs are now evaluating how to upgrade without disrupting existing

Choosing an infrastructure partner is not a choice between “small and attentive” and “large and impersonal.” Those labels are too simple to support a high-stakes decision. A national or global value-added reseller, or VAR, is often the stronger fit for

Enterprise IT buyers are under pressure from several directions at once. Hardware costs keep rising. OEM lead times can stretch project schedules. Data center refresh cycles are getting tighter. At the same time, teams are expected to reduce waste, improve

Data centers run on constant change. Servers age. Storage fills up. Networking equipment reaches end of support. New workloads increase performance demands, while procurement teams deal with rising costs, long OEM lead times, and pressure to avoid unnecessary waste. That

Enterprise networks are under pressure. Hardware budgets are tighter, refresh cycles are shorter, and lead times for new switches, routers, and wireless infrastructure can delay projects. At the same time, many organizations still need reliable capacity for branch offices, data

IT teams face rising hardware costs, longer lead times, tighter budgets, and growing pressure to reduce e-waste. At the same time, businesses still need reliable servers, storage, networking, and end-user devices to support daily operations and new projects. The circular

Choosing the right HPE DL360 configuration starts with the workload. A server built for virtualization may not be the best fit for storage-heavy applications or AI-ready infrastructure. HPE DL360 Gen11 and Gen12 both deliver strong 1U performance, but they support

Enterprise IT teams are under pressure to manage rising hardware costs, long lead times, stricter data security expectations, and growing e-waste concerns. When servers, laptops, storage systems, networking equipment, and drives reach the end of active use, they cannot be

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