HCLTech, NetApp Expand Collaboration for Hybrid Cloud Storage

HCL Technologies (HCLTech) has expanded its collaboration with NetApp to offer hybrid cloud Storage-as-a-Service (STaaS), helping enterprises scale AI, generative AI (GenAI) and data-driven workloads.

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The offering combines HCLTech’s Utility for Everything (U4X) digital infrastructure framework with NetApp Keystone, a pay-as-you-go storage service. The consumption-based model allows organisations to scale storage, performance and data services according to changing workload requirements.

Supporting AI and Enterprise Workloads

The solution is designed to support AI and GenAI applications alongside traditional enterprise systems. Through HCLTech’s AI Factory suite of offerings, organisations can support AI development, deployment and operations while managing infrastructure requirements across hybrid cloud environments.

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The model enables enterprises to adjust infrastructure capacity as workloads change, helping them avoid maintaining excess storage capacity while supporting growing data requirements.

Moving AI from Pilots to Enterprise Scale

By combining HCLTech’s consumption-led infrastructure model with NetApp’s data management capabilities, the offering aims to help enterprises move from AI pilots to broader deployments.

The solution also supports data readiness and governance, while enabling organisations to run workloads closer to where their data resides. This can help improve infrastructure efficiency and reduce the time required to make data available for AI and other data-intensive applications.

As enterprises increase their use of AI, the expanded collaboration provides a flexible infrastructure model that can adapt storage and data services to evolving workload and business requirements.

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Final Words

HCLTech and NetApp have expanded their existing collaboration to offer hybrid cloud Storage-as-a-Service for AI, GenAI and enterprise workloads.

The offering combines HCLTech’s U4X framework with NetApp Keystone, providing flexible, consumption-based infrastructure that can scale with changing data and workload requirements.