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- DapuStor has debuted a 245TB PCIe Gen5 QLC SSD for AI workloads
- The agency joins different distributors concentrating on hyperscalers with ultra-capacity flash
- The transfer displays how AI is driving demand for dense NAND storage
AI workloads are driving demand for a lot bigger SSDs inside hyperscale information facilities, and in response to this, DapuStor has introduced a PCIe Gen5 QLC SSD which scales to 245TB.
122TB variations of the drive are already in use by prospects, because the excessive capability SSD is meant for AI information lakes, vector databases, and enormous storage swimming pools the place information stays on-line and is accessed ceaselessly.
These workloads generate massive volumes of embeddings, logs, and video throughout AI coaching and inference. That information is accessed repeatedly fairly than archived, so dense flash storage is a more sensible choice than mechanical drives.
DapuStor joins a choose group
DapuStor’s SSD makes use of QLC NAND. By storing 4 bits per cell, it will increase capability per wafer in contrast with TLC, bettering density and price effectivity.
Earlier considerations round QLC’s endurance and efficiency have been addressed by way of controller design, firmware administration, and information placement methods.
This announcement makes DapuStor the eighth vendor to disclose an SSD at or across the 245TB mark.
Huawei has approached the issue in a different way, pairing high-capacity SSDs with controller methods to cut back dependence on costly HBM in AI methods.
Samsung has outlined roadmaps extending past present capacities, and its archrival, SK Hynix, has teased the PS1101, its personal 245TB PCIe Gen5 enterprise drive.
The transfer towards higher-capacity SSDs displays adjustments in how AI information is saved. Coaching datasets, inference outcomes, and logs are accessed ceaselessly, favoring flash that handles random I/O whereas utilizing much less rack house and energy.
These SSDs are clearly not for shoppers and even typical enterprises. Platform necessities, pricing, and scale preserve them restricted to hyperscale environments, the place flash capability is changing into a crucial useful resource.
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