Refurbished server parts for Dell, HPE, Lenovo, and IBM systems—like CPUs, SSDs, memory, and RAID controllers—offer up to 80% cost savings with guaranteed compatibility, making them a smart choice for enterprise IT upgrades.

Microsoft Exchange Server 2016 and 2019 will lose support in October 2025, and upgrading to Exchange Server Subscription Edition requires newer server hardware with TPM 2.0, UEFI, modern CPUs, and ECC memory—ruling out many older systems.

Special Offer: Dell PowerEdge R760 with Xeon Gold 6414U, 512GB DDR5 RAM, and 245TB SAS SSD—built for high-performance enterprise workloads, future GPU upgrades, and available with no upfront payment: test first, pay later.

This article answers the most common questions about upgrading from VMware vSphere 7 to 8, covering support deadlines, compatibility, features, and hardware requirements.

In 2025, European IT buyers are increasingly turning to EU-based refurbished hardware suppliers to avoid U.S. tariffs, supply chain delays, and regulatory risks while gaining faster delivery, pricing stability, and greater strategic independence.

VMware vSphere 8 compatibility and hardware requirements are outlined in detail, highlighting unsupported components, recommended upgrades, and cost-effective refurbished server options to prepare before vSphere 7 support ends in 2025.

VMware ESXi vSphere 8 Hardware Requirements demand newer CPUs (Intel Skylake or AMD EPYC Naples or later), UEFI boot mode, modern storage and network controllers with native drivers, and certified server models, making it essential to verify compatibility before upgrading.

vSphere 8 Hardware Compatibility requires modern CPUs, sufficient memory, supported storage and network devices, and careful upgrade planning to ensure a smooth transition from vSphere 7 before its support ends in October 2025.

This article explores the best GPU servers for machine learning, comparing NVIDIA and AMD accelerators, server configurations from Dell, HPE, Lenovo, and Supermicro, and key infrastructure components like CPUs, memory, storage, and cooling.

This article covers the best GPU servers for deep learning, highlighting NVIDIA and AMD GPUs, server tiers from Dell, HPE, and Lenovo, and key hardware specs for AI training.

This article explains the hardware requirements for training large language models (LLMs), comparing entry-level to high-end GPU server tiers from Dell, HPE, and Lenovo, and highlighting why powerful multi-GPU systems with NVLink and InfiniBand are essential for modern AI workloads.

This article is a practical guide for universities, research labs, and private individuals on how to sell used NVIDIA GPU servers efficiently, recover value, and reduce waste—especially after projects end or when upgrading to newer hardware like the H100.

This article explains what AI is, how it works, the types of models and hardware it uses, and how real companies are deploying GPU servers to power their AI workloads efficiently.

This article highlights the top Portuguese cloud providers that offer GDPR-compliant, locally hosted solutions to support digital sovereignty and reduce reliance on foreign cloud services.

The IBM Power E1180 is a next-gen enterprise server built for AI, hybrid cloud, and high-performance workloads with up to 256 Power11 cores.

This article explains how to sell your used HPC NVIDIA GPUs and GPU servers step by step, helping you recover value, avoid common risks, and choose the best way to resell high-performance hardware.

This article compares the Dell PowerEdge R750 and R750xa servers, highlighting their specs, use cases, and key differences to help IT teams choose the right model.

The article explores the Dell PowerEdge R650 and R650xs servers, highlighting their CPU, memory, storage, and expansion capabilities to help IT professionals choose the right model for virtualization, databases, or cost-optimized workloads.