Nvidia Restarts China H200 Shipments and Debuts Vera CPU for Agentic AI

Nvidia is executing a sophisticated dual-track strategy designed to protect its existing revenue streams in China while aggressively defining the next technological frontier: Agentic AI. The resumption of H200 chip production for Chinese clients marks a critical turning point in the company’s relationship with its second-largest market. Since the implementation of tightened US export controls, Nvidia has had to balance high-performance hardware demands with regulatory compliance. The H200, which offers significant memory and bandwidth improvements over the H100, is a cornerstone of modern data center infrastructure. By resuming production specifically for China, Nvidia is signaling that it has either secured the necessary licenses or, more likely, engineered a compliant variant that satisfies the Department of Commerce’s performance-to-density thresholds without sacrificing the architectural benefits of the H200 platform.

This move is a vital defensive play. China historically accounted for roughly 20% to 25% of Nvidia’s data center revenue before the export bans. While the company has seen explosive growth in the West, maintaining a foothold in China prevents domestic competitors like Huawei and Biren Technology from filling the vacuum. The resumption of H200 shipments suggests that Chinese hyperscalers—including Alibaba, Tencent, and Baidu—remain hungry for Nvidia’s ecosystem, preferring even sanctioned-compliant versions of Nvidia hardware over domestic alternatives due to the maturity of the CUDA software stack.

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China historically accounted for roughly 20% to 25% of Nvidia’s data center revenue before the export bans.

Parallel to this geopolitical maneuvering, Nvidia is pivoting its product roadmap toward 'Agentic AI' with the launch of the Vera CPU. While the industry has spent the last two years focused on Generative AI—systems that create text, images, and code—the next phase is defined by 'agents' that can autonomously execute complex tasks. Agentic AI requires a different compute profile than standard Large Language Models (LLMs). While GPUs handle the massive parallel processing required for inference, autonomous agents require high-performance serial processing and complex branching logic to manage tool-use, memory retrieval, and multi-step reasoning. The Vera CPU is specifically architected to handle these orchestration tasks, reducing the latency bottlenecks that occur when a GPU has to wait for a traditional CPU to process sequential logic.