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BAIDU DEBUTS FIRST AI ACCELERATOR: Kunlun K200 Is Co-designed for Deep Learning

机译:百度首次亮相第一个AI加速器:KUNLUN K200共同设计为深度学习

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Joining other cloud-service providers (CSPs), Baidu is taking a shot at AI mastery by offering the Kunlun K200 SoC. The Chinese company designed the 256-TOPS accelerator for its internal deep-learning workloads. The K200 accelerates common neural-network and SQL operations. On AI inference benchmarks, it matches the power efficiency of Nvidia's T4 card. At the recent Hot Chips conference, Baidu revealed that the Kunlun design features eight clusters combining in-house CPU cores and programmable neural-network engines. The chip's 2.5D packaging supports two stacks of 8GB High Bandwidth Memory (HBM), providing 256GB/s of bandwidth each. Built in Samsung's 14nm technology, the K200 has a moderate power envelope of 150W and connects to the host processor through a x8 PCIe Gen4 interface.
机译:加入其他云服务提供商(CSP),百度正在通过提供Kunlun K200 SoC来拍摄AI掌握。中国公司为其内部深度学习工作负载设计了256粒加速器。 K200加速常见的神经网络和SQL操作。在AI推理基准测试中,它符合NVIDIA的T4卡的功率效率。在最近的热点芯片会议上,百度透露,昆仑设计具有八集聚内部CPU核心和可编程神经网络发动机。芯片的2.5D封装支持两个8GB高带宽内存(HBM)的叠加,提供256GB / s的带宽。内置三星的14nm技术,K200具有适中的电源包络,150W,通过X8 PCIe Gen4接口连接到主处理器。

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