SK hynix, SanDisk unveil HBF memory standard for AI at FMS 2026

The HBF standard represents a coordinated industry response to a concrete architectural problem in AI infrastructure: the memory bottleneck. As AI inference demands grow, systems face a familiar tradeoff—HBM offers speed but is expensive and capacity-limited, while SSDs provide vast storage but cannot sustain the data rates AI workloads require. HBF, by adopting NAND-based technology with high-speed interconnect capabilities, offers a middle tier that is neither as costly as HBM nor as slow as traditional SSD. The timing of the announcement—six months after the consortium formed in February 2026, and roughly 12 months after SK hynix and SanDisk began their initial partnership in August 2025—suggests a deliberate pace toward standardization that brings other hardware makers (Google, Tenstorrent) into alignment.

The technical foundation is also notable: the adoption of UCIe1, an open standard interface for chiplet interconnection, means HBF is not locked to a single processor family. This flexibility is essential for market adoption, as it allows both GPU and CPU makers to integrate HBF without redesigning their interconnect. SK hynix's simultaneous unveiling of its V10 4D NAND—offering 2.5 times better power efficiency—suggests the company sees HBF as part of a broader push toward more efficient AI memory architectures.