NVIDIA is reportedly adopting a new strategy regarding the sales of its H200 AI chip to China, and it is claimed that the company is demanding that domestic clients pay upfront.
NVIDIA Wants to "Hedge" Against Uncertainity In the China Business, By Getting Order Payments Upfront
The China business for NVIDIA has evolved dramatically over the past few months, and it has been filled with drastic events that have created uncertainity for Team Green's suppliers. A prime example of this is how recently, after the US lifted the ban on the H20 AI chips, China decided to hinder its access to domestic hyperscalers, through regulatory investigations and strict policies. With the H200 AI chip, Reuters reports that NVIDIA wants to "hedge" against the uncertainity by demanding clients to pay entirely for their orders upfront, with no room for cancellations and modifications.
The strict payment requirements underscore the delicate balancing act Nvidia faces as it attempts to capitalise on surging Chinese demand while navigating regulatory uncertainty in both countries.
- Reuters
This policy makes sense, considering that NVIDIA needs to ensure a seamless order flow for the H200 AI chip to prepare the AI supply chain for incoming demand. It has been reported earlier that Chinese AI giants are looking to place orders of up to two million H200 AI chips, which is far higher than NVIDIA's current inventory. To restart production lines, Team Green is seeking to secure guaranteed customer commitments by receiving full payment upfront.
However, this policy could cause trouble for Chinese customers, as the nation's government has shown that it can change policies aggressively overnight, which could hinder access to the H200 AI chips. It's also important to note that the H200 capacity is being integrated into the supply chain at a time when NVIDIA is focused on Blackwell Ultra and Vera Rubin. For suppliers like TSMC, catering to Hopper demand is a significant concern, as it requires ramping up production of nodes like 4nm.
Chinese AI giants have few options at hand, as they are in dire need of NVIDIA's high-end silicon for progression with frontier models. This ultimately means they must comply with NVIDIA's policies.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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