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Huawei Pangu Pro Trains 505 Billion Parameters Without Nvidia: Supply Chain Tells Different Story

Published

1 August 2026

Topic

ai

Sectors

AI & ML

Geography

China

Source

Read at techtimes.com

Verified

Fusion42 · 1 August 2026 · Fusion42 review

Huawei's openPangu-2.0-Pro, a 505-billion-parameter language model, completed training using Ascend 910B NPUs without Nvidia hardware, marking a frontier-scale AI training on non-Nvidia chips. However, the chips contained key components fabricated by TSMC, indicating the training was not fully reliant on a domestic Chinese hardware stack, which remains unproven at scale.

This Wire brief sits within Fusion42's coverage of AI & ML.

◆ The Wire takeaway

You must factor in lingering foreign chip dependencies despite local training claims. Founders building AI hardware or cloud services in China face a short-term bottleneck as fully domestic chip and memory supply chains struggle to match global leaders.

Coverage

1 source · 1 Aug 2026

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AI & MLhuaweiascend-nputsmcopenpanguchip-manufacturingai-training