Micron Technology ships 245TB Micron 6600 ION SSD
Micron Technology, Inc. said it is shipping the 245TB capacity Micron 6600 ION SSD, a storage product positioned for high-capacity deployments. The company framed the move around rack-level storage density and power consumption relative to HDD-based deployments.
Micron said the 245TB Micron 6600 ION E3.L requires 82% fewer racks to reach equivalent raw storage capacity compared with HDD-based deployments. It also said the drive is designed to support AI, cloud, enterprise and hyperscale workloads, including next-generation AI data lakes and cloud-scale file and object storage.
Functionally, the SSD is built with Micron G9 QLC NAND that the company said is at least one generation ahead of competing QLC used in data center SSDs. The release said the Micron 6600 ION 245TB SSD consumes up to 30 watts at maximum power, which it compared to a comparable-capacity HDD deployment, and that testing showed gains in energy efficiency, throughput and latency versus HDD-based systems for AI and object storage workloads.
Micron said the 245TB Micron 6600 ION SSD is available in both U.2 and E3.L form factors. It also stated the drive is planned for display in the Micron booth (#226) at Dell Tech World, May 18–21, 2026, with the product shown in a 40-slot Dell PowerEdge server optimized for data lake storage.
“AI workloads are driving massive growth in shared data, continuing the shift of data center storage share from HDDs toward SSDs. With 245TB in a single SSD, the Micron 6600 ION makes solid state storage the clear choice for modern data centers,” said Jeremy Werner, senior vice president and general manager of Micron's Core Data Center Business Unit.
“Rapid AI dataset growth is shifting storage economics from individual drives to rack-level efficiency,” said Jeff Janukowicz, research vice president of solid state drives and enabling technologies at IDC. “Operators need more usable capacity per rack while staying within strict power and cooling constraints. Micron’s 245TB drives deliver the density required to scale AI data pipelines without increasing data center footprints. Predictable performance, energy efficiency and higher capacity are essential to building cost-effective AI infrastructure.”