Samsung Introduces HBM3E Memory to Enhance AI and Machine Learning Performance

Samsung Introduces HBM3E Memory to Enhance AI and Machine Learning Performance

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The Korean giant recently unveiled the new HBM3E 12H memory, featuring TC NCF, primarily developed to enhance the performance of advanced artificial intelligence and machine learning technologies.

Samsung launched the HBM3E Shinebolt in October last year as an enhanced version of the third generation of HBM memory, boasting a speed support of 9.8 gigabits per second per pin, totaling 1.2 terabytes per second for the full stack.

The new HBM3E 12H memory launches with 12 vertically stacked dies, denoted by the 12H code. This design aims to accommodate more memory in each unit, allowing Samsung to achieve a capacity of 36 gigabytes in 12H, an upgrade of 50% compared to 8H, without changing the bandwidth of 1.2 terabytes per second.

Samsung Introduces HBM3E Memory to Enhance AI and Machine Learning Performance

On the other hand, TC NCF refers to the compressed interlayer material, aimed at improving memory cooling performance along with productivity enhancement.

Samsung is also keen on developing devices with a slimmer design of up to 7µm. Therefore, the compressed 12H memory units have the same height as 8H.

The additional capacity in HBM3E 12H memory is expected to provide better support for accelerating AI and machine learning performance in devices by 34%.

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