Enterprises worldwide are redesigning AI infrastructure strategies to support long-term operational performance as AI workloads become integral to core business functions, according to a new research report published today by Information Services Group (ISG), a global AI-centered technology research and advisory firm. The 2026 ISG Provider Lens® global AI-Ready Infrastructure Solutions report finds that organizations are placing increasing emphasis on infrastructure supporting sustained AI operations while balancing performance, financial accountability and resilience.
Enterprises prioritizing stable, governed AI infrastructure with predictable costs.
41 providers evaluated across two quadrants: Integrated AI Infrastructure Systems and GPU as a Service (GPUaaS).
Leaders include Asus, AWS, Cisco, CoreWeave, Crusoe Cloud, Dell, Google Cloud, HPE, IBM, Lambda, Lenovo, Microsoft, Nebius, Oracle, Supermicro, T-Systems.
Cost management is defining consideration in AI infrastructure decisions.
Organizations combine centralized AI platforms with localized deployments.
Gcore and OVHcloud named Rising Stars.
Steve Hall, chief AI officer at ISG, stated: "Enterprises are taking a more disciplined approach to AI infrastructure as deployments become part of everyday business operations. They increasingly seek environments that combine stability, financial transparency and the flexibility to meet changing AI requirements over time."
Cost management has become a defining consideration in AI infrastructure decisions. Organizations are seeking infrastructure models that provide predictable pricing, clear visibility into resource consumption and mechanisms for allocating costs across development and production environments. These capabilities help reduce idle capacity, strengthen financial oversight and prevent friction between teams as AI workloads expand across business functions.
Reliability and embedded security and governance controls are becoming standard enterprise expectations for AI infrastructure. Buyers increasingly evaluate resilience, recovery procedures and monitoring capabilities alongside performance when selecting infrastructure platforms. Organizations are also placing greater emphasis on consistent operating models and auditability across regions, incorporating proof-of-capability exercises and production-like evaluations before making long-term investments.
Enterprises are adopting infrastructure strategies that align capacity with each stage of the AI lifecycle rather than focusing only on access to computing resources. Many organizations now combine centralized AI platforms with localized deployments to accommodate regional data, energy and operating requirements. This approach allows enterprises to maintain consistent operations across multiple locations while adapting infrastructure to local conditions and resource availability.
Sonam Chawla, ISG senior lead analyst and lead author of the report, stated: "Successful AI infrastructure depends on consistent operations as much as technical performance. Providers that help enterprises build resilient operating models with predictable economics will be well positioned to support AI as a core business capability."
About ISG
ISG is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world's top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth.
