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Thursday, October 15, 2026· 10186 stock ideas· 217 writers·
15,351 views· 7,290 clicks

[scuttleslops] MRVL, APP, AMZN, Chips

Marvell is positioning networking, optical connectivity and server-management chips as AI data centers link GPUs, custom accelerators and racks, lifting five-year targets.

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Convequity on X

$NVDA's falling unit share in China's data-centre AI chip market overstates how much business Nvidia has lost to Huawei. Three things explain why. 1. IDC counts units, and did not say whether that count includes the Blackwell parts barred from China and reportedly smuggled in. Chinese demand also reaches Nvidia outside China. Xiaomi or ByteDance rents a Blackwell cluster in Malaysia from a local cloud provider. That is Nvidia revenue from a Chinese buyer that never appears as a Chinese unit. So Nvidia's share of what Chinese buyers spend on AI compute is higher than its share of counted units. 2. Huawei's volume growth is real, and memory explains how. Huawei cannot get enough stacked high-bandwidth memory, the HBM that top-end AI chips need. The 910C ran on an older grade, HBM2E, that Huawei had been able to mass procure. The new 950PR uses lower-bandwidth single stack memory instead of stacked HBM, so the 950PR does not depend on HBM supply. Each chip moves data more slowly, and Huawei can make many more of them. Also, we expect 950DT to ramp up quite quickly alongside 960DT coming earlier in 1Q27 instead of original 4Q27 timeline due to Huawei's own HBM variant that is able to ramp up production quicker. 3. So Nvidia's drop is not Nvidia failing to supply China. In our view, it has three causes: US export rules that bar its best parts, Beijing promoting domestic chips and requiring approval to import Nvidia's compliant ones, and a 950 series that beats the 910 series it replaces and is production-wise attractive for model serving. For Nvidia, where Chinese compute spend goes matters more than the China unit count, and much of it still goes to Nvidia hardware, in China or in Malaysia.

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