Lenovo Unveils Comprehensive Storage and Service Portfolio to Modernize Infrastructure for AI
December 16, 2025
As enterprises globally rush to harness artificial intelligence, a significant infrastructure readiness gap threatens to stall innovation and return on investment. Citing Gartner research indicating that 63% of organizations are unprepared to support new AI functions, Lenovo has launched a sweeping update to its data storage and hybrid cloud portfolios, aiming to provide the flexible, modernized IT foundation required for advanced AI workloads.
The company announced a series of new and enhanced products under its ThinkSystem and ThinkAgile brands. A centerpiece is the new ThinkAgile FX series, designed to offer unprecedented hardware and software configuration flexibility to prevent vendor lock-in. “A key challenge for customers is they really want open solutions,” explained Stuart McRae, executive director and general manager of data storage at Lenovo. “FX is a flexible integration of clients that allows you to start with one and transition to a different software personality within the hardware lifecycle.”
The rollout includes several other key systems: the all-flash ThinkSystem DS Series Storage Arrays for high-performance block storage; the ThinkAgile MX Series for disaggregated storage on Microsoft Azure Stack HCI, now with expanded external Fibre Channel SAN support and integrated Nvidia RTX Pro 6000 GPU options to boost inferencing capabilities; and the ThinkAgile HX Series for AI, a hyper-converged solution featuring the Nutanix Enterprise AI software stack for virtualized and containerized environments.
Complementing the hardware, Lenovo introduced a broad suite of services focused on hybrid cloud and data lifecycle management. These include Lenovo Deployment Services for efficient infrastructure rollout, Premier Enhanced Storage Support for proactive monitoring and optimization by dedicated experts, Hybrid Cloud Advisory Services for compliance and operational alignment, and Migration Services to optimize data placement across cloud and on-premises systems. McRae emphasized the value proposition, stating, “Having that data infrastructure ready for (AI implementation) is low risk and high value.”
Industry analysts view the move as a strategic response to market demands. Don Gentile, an enterprise technology strategist at HyperFrame Research, noted, “Lenovo continues to execute on a purposeful, customer-aligned roadmap. The company is scaling its portfolio to support larger workloads while maintaining a focus on simplicity, predictable economics, choice, and investment protection.” This comprehensive approach positions Lenovo to help enterprises bridge the AI readiness gap by offering scalable, open, and supported pathways to modernize their data centers.
Source: datacenterknowledge
