SK hynix designs custom processor cores to handle SSD workloads as storage speeds accelerate
The memory chipmaker is embedding specialized processing units in its storage controllers to reduce power consumption and handle faster data transfer rates without relying solely on traditional CPU cores.

SK hynix is developing a specialized processor architecture designed to shoulder the computational burden in its solid-state drives while consuming far less power than conventional CPU cores. The company's answer is the Hynix Transaction Processing Unit, or H-TPU—a distinct technology from AI accelerators that targets the repetitive operations inherent to storage device management. As SSDs push toward higher speeds, controllers typically require additional CPU resources; the H-TPU offers an alternative by handling routine input-output tasks through a four-stage pipeline while leaving supervisory functions to standard Arm processors. According to the company's specifications, these compact cores demand roughly 2.5% of the power consumed by a full-fledged general-purpose CPU core while occupying just 4% of the silicon area.
SK hynix intends to integrate H-TPU technology across its entire product lineup, according to reporting from TheElec. The initiative was unveiled by Koo In-jae, the company's vice president of system-on-chip design, during a presentation at ISOCC 2026, the International SoC Design Conference, held this week. In his talk titled "From SSD Controllers to AI Memory SoCs," Koo highlighted that current SSD controller processors have reached practical limits in both power efficiency and physical footprint. He noted that PCIe bandwidth capacity doubles with each new generation, yet the control capabilities and clock speeds of existing controller CPUs have fallen behind the pace of improvement. SK hynix plans to deploy H-TPU cores in its NAND flash memory products, with particular emphasis on next-generation enterprise-class SSD controllers—the segment where the relentless demand for input-output operations per second makes the performance gap most acute.