Introduction
The landscape of artificial intelligence (AI) infrastructure is undergoing a significant transformation, entering what experts are calling the "agentic era". This marks a pivotal shift towards systems that are increasingly autonomous and proactive. This evolution is part of a broader trend in IT infrastructure, which has seen substantial changes over the past decade.
The Agentic Era
The term "agentic era" refers to a new phase in AI infrastructure characterized by the development of systems that can operate with greater autonomy. This evolution suggests a move towards more proactive and self-sufficient systems, capable of making decisions and adapting to new environments with minimal human intervention.
Historical Context: IT Infrastructure Evolution
Over the past ten years, IT infrastructure has undergone several major transformations:
- Virtualization: This technology allowed for the creation of virtual versions of physical hardware, leading to more efficient resource utilization.
- Cloud-Native Platforms: These platforms have enabled businesses to build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds.
- Containerization: This approach has facilitated the development of modular architectures, allowing applications to be packaged with their dependencies and run consistently across different environments.
The Role of Infrastructure in AI Deployment
The infrastructure supporting AI is crucial for its successful deployment in enterprises. Massive investments are being made to develop and enhance the infrastructure necessary for AI, underscoring its importance as the "real subject" in AI deployment.