Enterprise IT Insights, Product Reviews & Strategy!
Hardware refresh planning often starts with the cost of replacement servers, storage, networking equipment, or endpoints. That view is incomplete. Retired equipment may still support internal workloads, provide spare components, qualify for refurbishment, or retain secondary-market value. IT asset disposition,
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
AI and HPC teams are no longer treating GPUs as optional accelerators. In many environments, GPUs now shape the full infrastructure plan, from server design and cluster networking to storage throughput and power delivery. That change is pushing organizations to
10 Gigabit Ethernet (10GbE) SFP+ SR optics remain a core component in modern enterprise and data center networks. Even as higher-speed interfaces evolve, short-range 10G connectivity continues to support switch uplinks, server communication, and aggregation layers with predictable performance and
Modern data infrastructure decisions are no longer driven by capacity alone. Performance, scalability, and resilience now determine whether AI pipelines run efficiently or stall under pressure. Enterprises building for analytics, virtualization, and AI workloads need storage systems that align with
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
Infrastructure decisions can shape performance, cost, support, and flexibility for years. Starting with a preferred vendor may feel efficient, but it can narrow the available options before the workload, technical limits, and long-term risks are fully understood. Vendor-neutral infrastructure design
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
A server refresh cycle is not simply a countdown to replacing old hardware. It is a structured process for deciding whether each server should be upgraded, replaced, redeployed, sold, or securely retired. Age matters, but it should not control the
Modern enterprises are rapidly shifting toward dense and scalable infrastructure to support virtualization, analytics, and hybrid cloud environments. As rack space becomes more valuable, organizations need systems that deliver maximum performance within a minimal physical footprint. The HPE 867959-B21 ProLiant
AI GPUs are only one part of a working AI system. As workloads grow larger and GPU density rises, server memory, high-bandwidth memory, CPUs, NVMe storage, networking, optics, power, cooling, and replacement parts can become just as important to performance
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
