本文由半导体产业纵横(ID:ICVIEWS)编译自eetimes最大的挑战在于AI仍在“学习如何学习”。AI工作负载的巨大计算需求,正推动着将GPU/AI加速器互连成集群的趋势,使其作为单一单元运行以提高性能效率。作为AI加速器领域的领导者,英伟达(Nvidia)的NVLink互连技术已成为AI加速器最常用的接口。然而,直到最近,NVLink一直是一项专有技术,仅在基于英伟达的平台上可用。今年...
Source Link本文由半导体产业纵横(ID:ICVIEWS)编译自eetimes最大的挑战在于AI仍在“学习如何学习”。AI工作负载的巨大计算需求,正推动着将GPU/AI加速器互连成集群的趋势,使其作为单一单元运行以提高性能效率。作为AI加速器领域的领导者,英伟达(Nvidia)的NVLink互连技术已成为AI加速器最常用的接口。然而,直到最近,NVLink一直是一项专有技术,仅在基于英伟达的平台上可用。今年...
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