"The hyperscaler cloud providers plan to spend $1tn on hardware optimised for artificial intelligence (AI) by 2028, according to market researcher Dell'Oro. Meanwhile, enterprises are spending big on AI, with plans for AI projects fuelling record spending on datacentre hardware in 2024. In Asia, IDC found the region's top 100 companies plan to spend 50% of their IT budget on AI."
"The components of a successful AI project start well before training, however. Here, we're talking about data collection and preparation, and with datasets that can vary hugely in nature. They can include backups, unstructured data, structured data and data curated into a data warehouse. Data might be held for long periods and prepared for AI training in a lengthy and considered process, or could be required rapidly for needs that were unexpected."
Hyperscaler cloud providers plan to spend $1tn on hardware optimised for artificial intelligence by 2028. Enterprises are driving record datacentre hardware spending in 2024 as AI projects scale, and in Asia the region's top 100 companies plan to allocate 50% of IT budgets to AI. Many AI projects fail; Gartner reports nearly a third are dropped after failing to deliver business value and expresses concern about agentic AI. AI workflows include data collection and preparation, training, and inference. Datasets vary widely — backups, unstructured and structured data, and curated warehouses — producing unpredictable access patterns. GPUs and storage demand are voracious.
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