Definition: A high-bandwidth memory standard used in AI server GPUs, offering enhanced capacity and performance for AI workloads.
Explanation
HBM3E is a next-generation high-bandwidth memory (HBM) technology designed to meet the demanding performance and capacity requirements of AI server GPUs and other AI hardware. It typically features a 12-high stack with 36GB capacity, providing significant improvements in memory bandwidth and energy efficiency compared to previous HBM generations. HBM3E is positioned as a critical building block in AI hardware, enabling faster data access and processing for large-scale AI models.
Example
SK hynix showcased AI server GPU modules equipped with 12-high 36GB HBM3E memory at CES 2026, demonstrating its use as a real component in cutting-edge AI systems rather than just a specification on paper.
Who This Is For
HBM3E is intended for hardware engineers, AI system architects, data center operators, and technology decision-makers involved in designing or procuring high-performance AI computing infrastructure.
Related Terms
HBM4, SOCAMM2, LPDDR6, AI memory, high-bandwidth memory