InfrOS has launched Evolving Architecture, a tool that updates cloud infrastructure in real time as AI workloads evolve, covering multi-cloud and hybrid environments.

Customer feedback highlights improved visibility, prioritization of remediation and optimization, and clear, actionable recommendations without the need for manual audits or guesswork.

Recommended changes are evaluated across performance, security, cost, reliability, scalability, maintainability and deployment complexity to justify engineering effort and risk.

The tool tracks infrastructure drift, identifies newly available cloud features, and recommends changes that are emulated, benchmarked and validated before deployment to assess effort, risk and operational impact.

Drift means gradual changes in workloads or conditions that can misalign with performance, security or cost requirements, and Evolving Architecture can augment existing workloads or be used for new deployments.

The launch aligns with rising AI-related infrastructure spending, with forecasts suggesting AI-optimised IaaS spending could reach USD 42 billion in 2026, prompting companies to rethink infrastructure decisions.

A Redion US CIO praised automated mapping, knowledge enrichment, cost optimization insights, and action prioritization, while a Greek utility executive noted meaningful optimization opportunities and contextual prioritization.

Evolving Architecture is part of InfrOS’s broader infrastructure operating system, which gathers requirements, compares options and generates production-ready infrastructure as code, including FinOps and compliance controls.

The product supports AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure, and hybrid/multi-cloud environments.

Naor Porat, InfrOS Co-Founder and CEO, says AI and cloud investments are substantial and infrastructure must evolve in real time to meet business needs, with Evolving Architecture closing the gap between planning and actual requirements.