AI BriefingMemory is also an AI bottleneck
Key point
SK hynix has begun mass production of 192GB SOCAMM2 for NVIDIA Vera Rubin.
Details
SK hynix has begun mass production of 192GB SOCAMM2 modules. They are based on the latest 1cnm LPDDR5X DRAM.
This module claims more than 2x bandwidth and over 75% power efficiency improvement compared to existing RDIMM. It was developed with the NVIDIA Vera Rubin platform in mind, aiming to increase server rack density through a thinner design and compression connector.
As AI infrastructure shifts its weight back toward training as well as inference, memory bandwidth and power efficiency are emerging as key bottlenecks as much as GPU performance. This product is a case of server memory expansion aimed squarely at that demand.
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