Cloud

For the first time at true hyperscale, a social platform’s AI backbone is being rebuilt around commodity-efficient Arm CPUs to orchestrate billions of agentic interactions while GPUs and custom accelerators focus on raw parallel compute. Meta’s agreement to deploy tens of millions of AWS Graviton5

Budget pressure, AI ambition, and the refusal to replatform all at once converge to make enterprises ask for one operating model that modernizes delivery, contains cost, and keeps core systems available without risky big-bang moves. Hyve’s collaboration with Red Hat targets exactly that demand with

Sudden offboarding deadlines, device theft reports, and hardware refreshes collide daily, and the Intune action picked in that rush decides whether data stays safe or disappears forever. Organizations know that removing a Windows device from Microsoft Intune is not a single switch; it is a choice

The moment agents stopped asking for dashboards and started filing tickets, shipping code, and adjusting prices, the quiet plumbing of data platforms became the frontline that decided whether automation saved money or broke production. Enterprises that once tolerated stale extracts and fragmented

Boardrooms did not debate whether agentic AI would arrive so much as how fast it could move from lab demos to dependable systems that run the business, and this event answered with a blueprint that fused research, infrastructure, and enterprise guardrails into one production posture. The headline

The ability to harness data scattered across a tapestry of edge devices, private data centers, and public clouds has become the definitive marker of success for the modern enterprise. As organizations grapple with the explosion of unstructured file data and the demands of AI-driven workloads, the