AI is fundamentally changing the requirements for data centers. High power densities, increasing regulatory requirements, and the desire for greater control over data and infrastructure are forcing companies to make new strategic decisions. Learn why colocation for AI workloads should be reassessed and what requirements a sovereign IT infrastructure must meet.
Learn how companies can use colocation to retain control over hardware, data, and the software stack while benefiting from professionally operated data center infrastructure.
Learn what requirements AI workloads place on power density, cooling, connectivity, and availability—and what companies should look for when selecting a data center.
Understand how a clearly defined data location, transparent access rights, and predictable infrastructure models can help meet regulatory requirements and make long-term IT costs more predictable.
Learn which five key core competencies a modern data center must meet today—for maximum agility, efficiency, and scalability of your IT landscape.
Learn how virtualization technologies reduce costs, increase agility, and sustainably improve the availability of business-critical applications.
