US EditionSeagate’s Massive, 30TB, $600 Hard Drives Are Now Available for Anyone to Buy
GLOBAL, JUL 15 – Seagate's 30TB HAMR drives target enterprises and hyperscalers, supporting AI workloads with scalable, energy-efficient storage amid a predicted 90% CAGR growth in on-prem AI markets.
- Today Seagate Technology Holdings plc confirmed worldwide availability of the 30TB Exos M and IronWolf Pro drives in Fremont, Calif. on 07/15/2025.
- Amid AI deployments, enterprises are seeking scalable, high-performance storage, with nearly 150 countries adopting data sovereignty requirements, driving global demand for on-premise solutions.
- HAMR technology uses a laser to heat small disk areas, enabling denser data bits, Seagate said, supporting higher capacities like 30TB drives.
- With these drives, organizations can scale storage, support real-time edge analytics, and benefit from high-capacity, energy-efficient storage without compromising performance or sustainability.
- In H2 2025, STX expects wider HAMR drive shipments, aiming to boost areal density growth to support AI and machine learning megatrends.
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Seagate unveils 30TB HAMR HDDs for the masses — laser-powered IronWolf Pro and Exos drives are now widely available
(Image credit: Seagate) Today, Seagate introduced its Exos M 30TB and IronWolf Pro 30TB hard disk drives (HDDs), which utilize heat-assisted magnetic recording technology. This technology employs a laser to increase storage density. This is the first time Seagate has made HAMR HDDs based on its Mozaic 3+ technology available to the mass market, marking a significant milestone for both the company and the storage industry, which unleashes an unp…
With its »Mozaic 3+« platform and HAMR technology, Seagate makes the leap to 30 TByte hard drives possible for end customers for the first time.
Seagate sets the bar in terms of capacity of its hard disks he re-creates a St ck h. From now on the sales of models len with 28 & 30 terabytes are started. With the new Seagate Exos M and Iron Wolf Pro hard drives you want to operate prim r AI applications. (Continue reading)
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