Learn about the differences between public vs private cloud deployment models. Understand key differences, costs, security, ...
As legal departments grow more sophisticated in their data strategies, they must reevaluate their cloud strategies.
SAP is a complicated company to cover; the pros and cons can be tough to unravel. SAP's moves have clearly impressed investors in 2024 - though SAP will have to justify investor confidence in its AI ...
We are in the middle of a resurgence of interest in private cloud because the concept remains the best answer to solving today's growing IT cost, complexity, and compliance challenges. This interest ...
AI economics are exposing a gap between what people think the cloud costs and what the cloud actually costs. A North American ...
Government agencies increasingly recognize the limitations of relying only on public cloud services as they struggle with the exponential growth of AI-driven data and real-time processing demands. In ...
Recent advancements are paving the way for private cloud platforms to deploy AI and other essential workloads, causing enterprises to rethink a public cloud–only strategy. For years, the dominant ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Cost predictability is a key concern as enterprises move workloads from public to private cloud environments and plan for mixed cloud environments, Broadcom survey finds. A desire for greater control, ...
Private cloud now rated as a strategic equal to public cloud, driven by cost predictability, GenAI requirements, and trust in delivering on security and compliance needs 53% surveyed say private cloud ...
CEO Amar Maletira highlighted that Rackspace exceeded guidance for revenue, profit, and EPS in Q4 2024, marking the tenth consecutive quarter of strong execution. He noted the company achieved ...
“The target customers for this [HPE Private Cloud for AI] are very firmly enterprise customers who are seeking to embrace generative AI and who recognize that running AI workloads at scale in the ...