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Huawei’s Ascend 950 AI processor

Second in a line AI processors.

Jon Peddie
Huawei

Huawei’s Ascend 950DT NPU targets training and decode-stage inference, and anchors the Atlas 950 platform. DaVinci architecture combines matrix, vector, and scalar engines with 144GB HiZQ 2.0 HBM (4 TB/s) and 2 TB/s interconnect, supporting FP8, MXFP8, and XMFP4. The hierarchy scales from 8,192-chip supernodes to 64 SuperPoDs; Huawei cites configurations over 524,000 devices. HiBL 1.0 (128GB, 1.6 TB/s) pairs with 950PR for prefill. CANN and MindSpore provide kernels, graph optimization, and scheduling. Roadmaps add 960/970 parts. Market context includes Nvidia Rubin, AWS Inferentia/Trainium, Google TPU, and Microsoft Maia platforms. (Source: Huawei) Huawei introduced the Ascend 950DT NPU at Connect
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