Many companies are currently feeling that their virtualized infrastructure is reaching its limits. Changed licensing models from large providers, increasing cost pressure and growing demands from AI workloads are fundamentally questioning classic hyperconverged architectures (HCI). The close coupling of compute and storage, which has long made HCI attractive, is now becoming a disadvantage: it makes flexible scaling and the construction of modern, AI-capable infrastructures more difficult.
Decoupling as a strategic response
The way out is to decouple compute and storage – but this requires a powerful data platform as a foundation. Anyone who takes this step not only gains flexibility in choosing the virtualization layer, but also creates the conditions for hybrid cloud scenarios and sovereign, scalable AI infrastructures.
Options, platform, scalability: what the webcast shows
A Computerwoche webcast in collaboration with Everpure highlights the specific options for replacing HCI architectures and shows what role a uniform, automated data platform plays. Gerrit Lehr, Principal Technology Strategist at Everpure, explains how companies can gradually modernize their infrastructure, increasing flexibility and scalability while laying the foundation for AI-ready workloads. The webcast will be moderated by specialist journalist Dr. Oliver Janzen.
Webcast: Virtualization in transition: Get out of the HCI trap
Register now for the webcast for free!
