Unable to use leading-edge process technologies to produce its high-end processors for AI, Huawei has to rely on brute force – install more processors than its industry competitors to achieve comparable performance for AI.
To do this, Huawei took a multifaceted strategy that includes a dual-chiplet HiSilicon Ascend 910C processor, optical interconnections, and the Huawei AI CloudMatrix 384 rack-scale solution that relies on proprietary software, reports SemiAnalysis. The whole system provides a 2.3X lower performance per watt than Nvidia's GB200 NVL72, but it still enables Chinese companies to train advanced AI models.
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