Backup Considerations for On-Premises AI: What to Protect, What to Rebuild and What to Ignore
Backing up on-premises AI is not simply about protecting the server. Some components are business-critical, while others can be rebuilt or re-downloaded. This article looks at what should be backed up, what can be recreated, and while traditional backup and recovery principles still apply, additional considerations are required for modern AI infrastructure.
Private AI Platform Design Guide
What a Private AI Platform May Look Like. From Small Teams to Mid-Market Organisations – A guide for IT Managers.
Why AI Infrastructure Sizing Is Different
Why traditional server sizing doesn’t work for AI, and how testing, measurement and POCs lead to better infrastructure decisions.
AI Infrastructure Guide for the Mid-Market
The key considerations for planning practical, scalable on-premises AI infrastructure across compute, memory, storage, networking, power and cooling.
Unified Memory or Discrete GPU?
A practical comparison of unified memory and discrete GPUs across cost, performance, scalability and redundancy for AI infrastructure.