InfrOS launches tool to tune cloud AI infrastructure

InfrOS has launched Evolving Architecture for cloud infrastructure, aimed at organisations managing AI-related workload changes.

The product monitors existing cloud environments, detects infrastructure drift and recommends updates when workloads no longer match performance, security or cost requirements. It can be added to existing workloads or included in newly deployed environments.

The system also identifies newly available services and features from cloud providers that may better suit a workload's current requirements. It then emulates and benchmarks proposed changes before deployment, allowing IT teams to assess expected trade-offs, including effort, risk and operational impact.

The launch comes as businesses increase spending on infrastructure linked to artificial intelligence. InfrOS cited Gartner forecasts that spending on AI-optimised infrastructure-as-a-service will rise 96% in 2026 to USD $42 billion.

How it works

According to InfrOS, each recommended change is validated before it reaches production. The platform presents the likely effects of each change across performance, security, cost, reliability, scalability, maintainability and deployment complexity.

The approach is intended to address a problem facing infrastructure teams as AI workloads evolve faster than traditional planning cycles. InfrOS said architecture choices that were suitable at deployment can become inefficient or difficult to reverse as technical and business conditions change.

The feature supports workloads running on AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, as well as multi-cloud and hybrid environments.

Naor Porat, Co-Founder and Chief Executive Officer at InfrOS, described the tool as a response to the growing scale of infrastructure investment tied to AI.

"Companies are making $100 billion-plus bets on infrastructure, especially as they build for AI," said Naor Porat, Co-Founder and Chief Executive Officer at InfrOS. "However, cloud and AI infrastructure are not one-time investments. As workloads, business requirements and technologies evolve rapidly in the age of AI, infrastructure must evolve with them. We created Evolving Architecture to close the gap between what was planned and what the business actually needs today, in real time. InfrOS replicates and tests infrastructure changes before companies invest significant engineering resources or capital in putting them into production."

Customer response

Two customer organisations commented on the product's use in monitoring and optimisation tasks.

"InfrOS makes your deployment work stronger. Evolving Architecture brings that same clarity to what's already running. Automated Mapping shows us everything in the environment, Knowledge Enrichment explains why each piece is there, the Cost Optimization Analyser flags waste with the evidence behind it, and Gain/Risk/Effort scoring tells us what to tackle first. No manual audits, no guesswork, just clear recommendations we can act on," said George Bock, Chief Information Officer at Redion US.

"Working with the InfrOS team was a very positive experience. The platform not only identified meaningful cloud optimization opportunities but also provided the context and prioritization needed to turn insights into actionable next steps," said Michalis Michailidis, Technology, Innovation, and Digital Services for PPC, the leading electric utility company in Greece.

InfrOS describes itself as an infrastructure operating system that helps teams compare architecture options, validate expected outcomes through benchmarking, simulation and emulation, and generate infrastructure as code for production environments. It also says the platform continuously monitors infrastructure to keep workloads aligned with changing business and technical requirements.

The addition of Evolving Architecture extends that role from initial design to the ongoing review of live environments, as companies look for ways to keep cloud estates aligned with fast-changing AI demands and rising infrastructure budgets.