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Micron has showcased its colossal 256GB DDR5-8800 MCRDIMM reminiscence modules on the current Nvidia GTC 2024 convention.
The high-capacity, double-height, 20-watt modules are tailor-made for next-generation AI servers, comparable to these based mostly on Intel’s Xeon Scalable ‘Granite Speedy’ processors which require substantial reminiscence for coaching.
Tom’s {Hardware}, which received to see the reminiscence module first hand, and take the photograph above, says the corporate displayed a ‘Tall’ model of the module on the GTC, however it additionally intends to supply Commonplace peak MCRDIMMs appropriate for 1U servers.
Multiplexer Mixed Ranks DIMMs
Each variations of the 256GB MCRDIMMs are constructed utilizing monolithic 32Gb DDR5 ICs. The Tall module homes 80 DRAM chips on either side, whereas the Commonplace module employs 2Hi stacked packages and can run barely hotter consequently.
MCRDIMMs, or Multiplexer Mixed Ranks DIMMs, are dual-rank reminiscence modules that make use of a specialised buffer to permit each ranks to function concurrently.
As Tom’s {Hardware} explains, “The buffer permits the 2 bodily ranks to behave as in the event that they had been two separate modules working in parallel, thereby doubling efficiency by enabling the simultaneous retrieval of 128 bytes of information from each ranks per clock, successfully doubling the efficiency of a single module. In the meantime, the buffer works with its host reminiscence controller utilizing the DDR5 protocol, albeit at speeds past these specified by the usual, at 8800 MT/s on this case.“
Clients eager to get their palms on the brand new reminiscence modules will not have lengthy to attend. In ready remarks for the corporate’s earnings name final week, Sanjay Mehrotra, chief government of Micron, stated “We [have] began sampling our 256GB MCRDIMM module, which additional enhances efficiency and will increase DRAM content material per server.”
Micron hasn’t introduced pricing but, however the price per module is more likely to exceed $10,000.
Extra from TechRadar Professional
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