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In AI data centers, even when each server secures enough memory, some of it often sits unused. SK hynix’s Memory Pool technology lets multiple servers share the memory resources they need. In one AI test, it significantly cut the wait time for the first answer. The question now is whether it can deliver the same gains in commercial AI data centers.

#ChipNerds #SKhynix #AIDataCenter #MemoryPooling #GPU #CXL #AI #NewsClip

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00:00As AI advances, the chip industry's worries are growing, too.
00:04AI must process ever more data, but the memory that can be attached to a GPU has its limits.
00:11Today, SK Hynix offered a new solution.
00:14Let multiple servers share one giant memory space.
00:18It's called a memory pool.
00:20Instead of endlessly adding memory to each server, they share it as needed to cut data processing waste.
00:26In a test using this approach, the time it took AI to start its first answer dropped from 80 seconds
00:32to 15.
00:34SK Hynix is also working with Intel to validate the technology, going beyond HBM to tackle the limits of AI
00:41systems itself.
00:42Do you think this effort can really reshape the limits of the AI industry?

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