Key Considerations for Making AI-Ready Infrastructure Decisions
This IDC Perspective uses considerations for selecting private AI and public AI infrastructure as a framework to build awareness of what is coming in AI-ready infrastructure."Expect AI infrastructure deployments to reach a critical phase in 2024: buildout," said Shane Rau, research vice president, Computing Semiconductors at IDC. "But, among choices of public and private AI, on premises and off premises, and core and edge, there's lots to consider, so we've outlined those choices."
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- Public AI
- Considerations When Selecting Public AI
- Key Next Steps When Selecting Public AI: Scalability, Interpretability, and Integration
- Private AI
- Considerations When Selecting Private AI
- Key Next Steps When Selecting Private AI: Scalability, Interpretability, and Integration
- AI-Ready Cloud Infrastructure Transitions
- Location
- System Architecture
- Technology-Specific Characteristics to Consider
- Compute
- Storage
- Security
- Networking
- Fabrics
- Multicloud Networking
- Advice for the Technology Buyer
- Your Mileage Will Vary: Buyer Journeys in Deploying AI-Ready Infrastructure
- Learn More
- Related Research
- Synopsis
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