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As IT leaders race to keep up with the demands of cloud computing, big data and especially AI, the energy consumption and efficiency of their data centers has become a major concern. This is where the sustainability of their data storage infrastructure comes into focus. Shifting from what may have once been seen as a tactical necessity, to become a strategic imperative for meeting an organization’s operational AND environmental objectives.

The rapid acceleration of AI adoption is transforming how enterprises design their data infrastructure, driving the need for robust, scalable, and energy-efficient solutions. At Hitachi Vantara, we’re building the future of AI storage by collaborating with NVIDIA to close the gap between data and AI compute. Our mission: help organizations unlock faster, smarter insights with an AI-ready data pipeline.

Though storage systems and cloud storage services are well known, organizations should consider enhancing a handful of key areas in their storage infrastructure to prepare for the future. While some consider storage systems, management software and services to be commodities, differentiation between offerings can determine the scalability, flexibility, efficiency and resiliency of the data storage infrastructure.

As your business grows, so does your data. And if you’re running Microsoft SQL Server, you’ve likely faced the challenge of managing storage in a way that doesn’t break the bank but keeps your applications running smoothly. It’s a balancing act that many IT professionals and business leaders struggle with daily. We hear from numerous mid-sized companies that hit a wall with their Microsoft SQL Server database.

As enterprises continue to navigate the complexities of data management, analysts predict an increasing shift towards consumption as a service infrastructure solutions. This model offers myriad benefits – including cost savings, scalability, agility and streamlined operations – empowering enterprises to tailor their hybrid cloud data infrastructure solutions to their unique needs, paying only for what they use, thereby optimizing operational expenses.

At the heart of any enterprise data management strategy is the driving principle of infrastructure as code (IaC), the practice of defining, provisioning and managing infrastructure through code, and a foundational approach for enabling continuous delivery (CD).

Peanut butter has jam. Wine has cheese. Great Britain has pubs. The world is filled with things that are great alone, but that together, create an even greater – dare I say, legendary – combination. Now it comes to the world of data platform management. Sorry, I’m getting ahead of myself. You see, a few months back I predicted 2025 was going to be a big year for data platforms. One such solution being Hitachi Virtual Storage Platform One (VSP One).