On-premises VDI deployments have two problems with TCO:
- Average 85% over-provisioned infrastructure, and
- IT cannot easily assign cost to individual usage
There is a lot of data center infrastructure deployed to serve multiple VDI use cases with different usage patterns:
- App virtualization use cases may require a few hours per user per month
- Contractor use cases may require 6-8 hours a day for a few days a week
- Software developer use cases may require 8+ hours a day for 20+ days a month
These use cases can result in different peak usage behaviors, resulting in IT having to balance between:
- Too much infrastructure optimizes user experience, but increases cost
- Too little infrastructure degrades user experience, but reduces cost
And IT can have a difficult time assigning a fraction of the cost to each use case.
DaaS can deliver a fundamentally different cost structure.
DaaS and AI can help IT optimize each use case independently by:
- Using just-in-time provisioning to optimize user experience
- Just-enough provisioning to optimize cost
- And closely match usage to cost
