HBM3E Memory by SK Hynix
SK Hynix, a prominent player in the semiconductor industry, has unveiled a significant milestone with the announcement of their latest innovation – the AI-focused ultra-high performance DRAM, HBM3E. This cutting-edge product marks the fifth generation of High Bandwidth Memory (HBM) technology, building upon the success of its predecessors – HBM, HBM2, HBM2E, and HBM3.
HBM3E takes the vertical interconnection of multiple DRAMs to new heights, revolutionizing data processing speeds. With SK Hynix’s extensive experience as the primary mass provider of HBM3, the successful development of HBM3E reinforces its position as a leader in the industry. The company plans to initiate mass production of HBM3E in the first half of the coming year, solidifying its dominance in the AI memory market.
The standout feature of HBM3E is its exceptional processing capability, clocking in at a staggering 1.15TB (terabytes) of data per second. To put this into perspective, it can process a remarkable 230 Full-HD movies (5GB each) within just a single second.
One of the key advancements in HBM3E lies in its adoption of the latest Advanced MR-MUF technology, which boosts heat dissipation performance by 10% when compared to its predecessor. Additionally, HBM3E is designed with backward compatibility in mind, ensuring a smooth transition for customers without necessitating modifications to the design or architecture of their existing HBM3-based systems.

Notably, this development has garnered the attention of industry giants like NVIDIA. Ian Buck, Vice President of NVIDIA’s Hyperscale and HPC Division, expressed their enthusiasm for continued collaboration with SK Hynix in the realm of HBM3E, paving the way for the next generation of AI computing.
In a world where data processing speed and efficiency are paramount, SK Hynix’s HBM3E emerges as a groundbreaking solution, poised to reshape the landscape of AI-oriented memory technology. As it enters the market next year, this innovation holds the potential to drive advancements in AI computing and accelerate the pace of technological progress.