Concerns about AI energy use ranks last in global enterprise survey, highlighting the challenges which lie ahead

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Emma Walker
Mon, 20 Jan
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Seagate Study Highlights Key Priorities for AI Infrastructure

A recent study by Seagate has revealed that security and storage are at the forefront of concerns for IT leaders when it comes to AI infrastructure. Energy consumption, while a topic of debate, takes a backseat to regulatory considerations, the viability of LLMs, and network capacity.

Looking ahead, business leaders are focusing on cost-effective storage solutions to accommodate the expected surge in data storage demand driven by increased AI adoption. Hard drives are emerging as the preferred storage option due to their scalability, cost-efficiency, and data retention capabilities.

The study emphasizes the importance of data retention for training AI models, with organizations recognizing the need to store data for longer periods to achieve better outcomes. Seagate is working on innovations to enhance storage capacity through HAMR-based hard drives, aiming to double per-platter storage capacity in the coming years.

As AI continues to shape the future of technology, the focus on efficient and secure storage solutions remains paramount for businesses navigating the AI landscape.

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