SK hynix and SanDisk have introduced a new High Bandwidth Flash (HBF) standard designed to resolve performance gaps between High Bandwidth Memory (HBM) and SSDs in AI accelerators. The standard was specifically developed for AI inference scenarios where Large Language Models (LLMs) are run. source_ref:1,11

HBF is designed to complement HBM capacity limits rather than replace them. Unlike HBM, HBF utilizes stacked NAND flash instead of DRAM to increase storage capacity. source_ref:4,3

The HBF standard supports the UCIe (Universal Chiplet Interconnect Express) specification and aims to create an ecosystem where various enterprises can develop compatible products. The technology is currently supported by Google and Tenstorrent. source_ref:7,2,10

Capacity and technical specifications

A 16-layer HBF stack can provide 512 GB of capacity in a package similar in size to HBM. Specifications allow for up to 512GB in a single configuration. source_ref:12,5

SanDisk stated that HBF can provide 8 to 16 times more capacity than HBM at similar cost levels. source_ref:13

Market competition and roadmap

Samsung is developing and mass-producing CMX solutions and manufacturing V10 and V11 NAND flash with up to 500 stacked layers to target AI server storage requirements. source_ref:9

SanDisk aims to have the first HBF samples ready in the second half of 2026, with the first AI inference hardware using HBF technology planned for sampling in early 2027. source_ref:14,15