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5 stories

Stories

  • ScaleFlux bets its controller chips can break AI’s memory bottleneck

    AI data centers have spent heavily on faster accelerators, denser racks and liquid cooling to keep that hardware running. The data pipeline that feeds those processors has not kept up, and expensive compute ends up waiting on memory and storage.

    SiliconANGLE3 min read
  • Marvell Structera X 3406 and 3506 CXL 3.2 Memory Expanders

    The new Structera X 3406 and Structera X 3506 offer six channels and up to 18 DIMMs per controller for CXL 3.2 memory expansion The post Marvell Structera X 3406 and 3506 CXL 3.2 Memory Expanders appeared first on ServeTheHome.

    ServeTheHome Deep Learning2 min read
  • Astera Labs’ Leo Controller Update Targets Memory Constraints

    Astera Labs pairs Leo memory controllers with Scorpio fabric switches to bring scalable memory closer to AI accelerators. The post Astera Labs’ Leo Controller Update Targets Memory Constraints appeared first on EE Times.

    EE Times5 min read
  • Xcena Cuts Data Movement to Address Memory Bottlenecks

    Xcena’s MX1 uses CXL to push compute into memory by combining DDR5, SSDs, and RISC-V cores while easing programmability. The post Xcena Cuts Data Movement to Address Memory Bottlenecks appeared first on EE Times.

    EE Times4 min read

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