- NVIDIA plans small-batch deliveries of a specialized LPU variant for Chinese clients by year-end, complying with U.S. export rules without reducing raw processing power.
- Software adjustments enable the chip to work with processors available in China, as the original Vera Rubin system is restricted from sale there.
- Chinese AI firms face acute inference capacity shortages, creating a market opportunity for Nvidia despite competition from Huawei Technologies‘ Ascend 950DT.
Nvidia is preparing to ship small initial batches of a newly adapted AI chip for Chinese buyers by year-end, according to reports. The product is a variant of the company’s language processing unit (LPU) that works alongside primary GPUs to accelerate AI chatbot responses.
The LPU naturally complies with U.S. export restrictions without requiring reductions in computing power. However, because trade regulations prevent the Vera Rubin system from being sold in China, Nvidia modified the software to enable the LPU to work with locally available processors.
Several Chinese customers have already submitted orders for the hardware. The move comes as Chinese tech firms face an acute shortage of inference processing capacity, with providers like Moonshot AI pausing registrations and DeepSeek raising pricing amid high demand.
Major Chinese companies have locked up domestic chip production through 2027, creating an opening for Nvidia. The new LPU will compete with Huawei Technologies‘ Ascend 950DT inference chip.
Nvidia CEO Jensen Huang previously said the company had largely conceded the Chinese market to Huawei. However, current supply constraints offer a brief window to retain clients before they fully migrate to local suppliers.
U.S. policy blocks Nvidia‘s highest-end accelerators but permits restricted sales of H200 chips. Assembly firm Amkor Technology completed packaging for over one million H200 chips in the second quarter, using components from Taiwan Semiconductor Manufacturing Co.
Nvidia (NVDA) shares eased 0.5% on Thursday, falling for a third straight day. Retail sentiment on Stocktwits was ‘extremely bearish’ with low message volumes.
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