Sandisk and SK hynix Advance Global Standardization of High Bandwidth Flash with Release of First OCP Technical Specification

Open Compute Project Specification provides foundation for High Bandwidth Flash adoption in AI inference systems MILPITAS, Calif., August 03, 2026–(BUSINESS WIRE)–Sandisk Corporation (Nasdaq: SNDK) and SK hynix Inc. today announced the release of the HBFโ„ข (High Bandwidth Flash) technical specification through the Open Compute Project (OCP), advancing the workstream to drive HBF standardization for the…


Sandisk and SK hynix Advance Global Standardization of High Bandwidth Flash with Release of First OCP Technical Specification

Open Compute Project Specification provides foundation for High Bandwidth Flash adoption in AI inference systems

MILPITAS, Calif., August 03, 2026–(BUSINESS WIRE)–Sandisk Corporation (Nasdaq: SNDK) and SK hynix Inc. today announced the release of the HBFโ„ข (High Bandwidth Flash) technical specification through the Open Compute Project (OCP), advancing the workstream to drive HBF standardization for the AI inference era, just six months after the consortium began work in February.

The specification was developed through the HBF technology workstream under OCP, with Sandisk and SK hynix serving as primary contributors. Notably, Google and Tenstorrent joined as consortium members during this standardization process, contributing significantly to technology validation and the establishment of the standard. The specification provides companies and developers designing AI inference systems and accelerators with a common technical framework for incorporating HBF technology where larger, near-compute memory capacity and higher bandwidth are needed to improve power and performance metrics and help reduce total cost of ownership.

Modern AI inference systems need high-bandwidth memory positioned close to compute cores, while the demand for greater near-compute memory capacity continues to grow with the requirements of large language models and emerging AI workloads. HBF technology is designed to address this need by combining high bandwidth with high capacity, helping data center system designers improve interactivity and throughput during model serving.

“AI inference is creating a new set of memory requirements, and HBF technology is designed to meet that moment,” said Alper Ilkbahar, Chief Technology Officer, Sandisk. “This specification helps give system designers a practical path to bring high-capacity, high-bandwidth memory closer to compute, while enabling more flexible architectures. It is an important milestone for the HBF ecosystem and for the next generation of AI systems built to improve token economics at scale.”

The specification defines system interface, electrical and other technical guidelines for designing systems that interact with and use HBF technology, including basic performance expectations, the xPU-HBF host interface, reliability and packaging guidance for an HBF die stack, and a software user guide for read and write operations. As one of the first technical standards of its kind in the memory and storage industry, the specification helps give AI compute system designers added flexibility to build systems where HBF technology can coexist with High Bandwidth Memory, helping support ecosystem readiness.



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