Western Digital CEO says AI storage demand is strong, order visibility with top seven customers extends to 2030
At the earnings call, Western Digital's CEO said AI is essentially a data system, and the massive generation of data brings HDDs a more enduring market opportunity than computing power; order visibility with the top seven core customers already extends to 2030-2031. The company's HDD capacity for 2026 is fully sold out, long-term supply agreements run through 2028, and fiscal Q1 2027 revenue grew 55% year over year, but revenue and shipments remain constrained by supply capacity. The article also notes that a single AI server has a storage configuration of 1.7TB, more than three times the 0.5TB of a traditional server.
Why read this
AI score 53
Western Digital's CEO gave specific figures on order visibility and sold-out capacity at the earnings call, which can serve as a reference for gauging the strength of demand-side activity in AI storage.
Topics
Body · AI translation
Stop just focusing on GPUs! Western Digital reveals the AI truth: storage is the real bottleneck, with orders booked through 2030
Kuai Technology Download the app for exclusive early access October 23, 2026, 14:30:02 From Henan Updated October 23, 2026, 14:47:02
Kuai Technology, October 23 — According to Digitimes, Western Digital's CEO said bluntly on a recent earnings call that AI is essentially a data system, and any workload generates massive amounts of data, which brings HDDs a market opportunity more enduring than computing power. Order visibility from its top seven core customers already extends to 2030 to 2031.
This judgment is directly reflected in production capacity. Western Digital's 2026 HDD capacity has been completely sold out, and long-term supply agreements have even been signed through 2028. The company's revenue for the first quarter of fiscal 2027 surged 55% year over year, and its guidance for the next quarter far exceeded expectations, but management admitted that revenue and shipments are still constrained by supply capacity, not insufficient demand.
The pull AI exerts on storage goes far beyond GPUs needing HBM and high-speed SSDs. GPUs handle training and inference, enterprise SSDs take on hot data, and HDDs store training datasets, historical versions, logs, videos and backups.
As AI shifts from training to inference, tasks such as KV cache management are moving from expensive GPU memory to shared high-performance storage, further driving up capacity demand.
Looking at per-machine configurations specifically, the gap is extremely stark. A single AI server has a storage configuration of up to 1.7TB, while a traditional server has only 0.5TB — more than three times that of the latter.
When cloud providers and hyperscale enterprises expand AI clusters, their procurement lists will definitely not contain only GPU servers; the landing, archiving and long-term preservation of massive amounts of data are the real amplifiers of storage demand.
"Special statement: The above content (including videos, pictures and audio) is uploaded and published by users of Dafeng Hao, a self-media platform under Phoenix Net. This platform only provides information storage space services.
Notice: The content above (including the videos, pictures and audios if any) is uploaded and posted by the user of Dafeng Hao, which is a social media platform and merely provides information storage space services."