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SanDisk, Micron lead memory stock rebound after HBF standard debut

SanDisk, Micron lead memory stock rebound after HBF standard debut

Google and Tenstorrent joined the High Bandwidth Flash consortium as SanDisk headed into fiscal fourth-quarter earnings, adding ecosystem support to the AI storage standard behind Tuesday's rally.

Fact Check
The official SK hynix PR Newswire release directly confirms the HBF first-standard announcement with Sandisk at FMS 2026 plus tiered-memory keynotes and NAND advances. The Edaily and BigGo Finance reports independently confirm Samsung's plan to showcase zHBM and z-NAND at the same event. All components of the claim are corroborated across an official source and independent reporting.
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Summary

SanDisk shares jumped 10.84% to $1,427.62 on Tuesday as investors welcomed a new High Bandwidth Flash, or HBF, milestone with SK Hynix and broader support for the emerging AI storage standard. The companies released what they described as the industry's first HBF specification, performance metrics and mass-production roadmap, positioning the technology as a storage layer between High-Bandwidth Memory and SSDs for AI inference workloads. Google and Tenstorrent also joined the HBF consortium, widening industry backing for the standard. The move helped extend a wider rebound across memory and semiconductor stocks after last month's selloff. SK Hynix ADRs gained 8.17% to $154.38, Micron climbed 7.62% to $892.67, Western Digital rose 4.04% to $548.56 and Seagate Technology added 1.69% to $845.35, while the Philadelphia Semiconductor Index rose more than 6% intraday. Bank of America reiterated a Buy rating on Micron with a $1,550 price target, and attention is shifting to earnings, with SanDisk due to report fiscal fourth-quarter results later Wednesday and earnings-per-share estimates near $33 a share.

Terms & Concepts
  • HBF: High Bandwidth Flash, an emerging storage technology intended to sit between traditional memory and SSDs for AI data workloads.
  • High-Bandwidth Memory: A fast memory technology used in advanced computing systems where rapid data access is critical.
  • AI inference workloads: Computing tasks that run trained AI models to generate responses or decisions, often requiring fast access to large amounts of data.