- Pure Storage (PSTG, Financial) collaborates with SK hynix to develop advanced QLC flash storage for hyperscale data centers.
- The partnership aims to enhance performance, energy efficiency, and scalability for data-intensive environments.
- This initiative addresses the demand for high-density, high-capacity storage, offering a better total cost of ownership than traditional HDDs.
Pure Storage (PSTG) has announced a strategic partnership with SK hynix to deliver state-of-the-art QLC flash storage solutions for hyperscale data centers. The collaboration focuses on meeting the increasing demands of data-intensive environments by integrating Pure Storage's DirectFlash Module products with SK hynix's QLC NAND flash memory technology.
This joint effort is set to provide three significant benefits: sustained high performance through ultrafast, low-latency solutions for exascale workloads, increased energy efficiency with lower power consumption, and improved scalability with highly rack-dense systems that offer a superior total cost of ownership compared to traditional hard disk drives (HDDs).
For hyperscale environments heavily reliant on advanced AI infrastructure, this new storage solution could offer several advantages. By lowering power consumption per terabyte and enhancing performance for data-intensive workloads, organizations can reduce their data center footprint and operating costs significantly. Moreover, the partnership highlights Pure Storage's strategic shift towards capturing market share in the rapidly expanding hyperscale data center segment.
According to Bill Cerreta, GM of Hyperscale at Pure Storage, combining SK hynix's advanced QLC products with Pure Storage's flash management architecture allows them to deliver highly optimized solutions that address the unique demands facing today's data-centric industries.
This announcement marks a pivotal step for Pure Storage in maintaining its competitive edge in the rapidly evolving all-flash storage market, addressing critical industry needs for efficient and scalable storage solutions capable of supporting massive AI workloads.
