Tech · AI

Export Controls: Blackwell Ultra Chips Detected in China Telecom Network

An Israeli security firm identified 32 banned B300 GPUs inside a state-owned Chinese telecom network, prompting Nvidia to dismiss the breach as a negligible fraction of global supply.

By Mariana Delgado ·

U.S. export regulations are designed to restrict the flow of advanced American hardware to specific international markets, yet a new report suggests the system remains porous. The discovery highlights the continuing challenge of tracking high-performance components once they leave the factory floor.

Lava, an Israeli cybersecurity firm, announced on October 23, 2026, that it identified 32 Nvidia Blackwell Ultra B300 chips within the infrastructure of China Telecom. This state-owned telecommunications provider operates services across China, a region where these specific processors are currently barred from export by U.S. authorities. The presence of these units raises significant questions about supply chain integrity, as the chips are typically reserved for whitelisted buyers who agree not to pass them to sanctioned entities.

Nvidia responded to the findings with a measured tone, neither confirming nor denying the specific location of the hardware. A company spokesperson characterized the incident as a minor anomaly in the broader context of global compute resources. The spokesperson noted that recent court cases show diversion of controlled products is often less than 0.5 percent of the total volume. They described this leakage as a drop in the bucket compared to the massive amount of domestic computing power China already possesses. Nvidia emphasized that with tens of millions of GPUs currently in service in approved countries, smuggling remains a non-factor due to enforcement on both sides of the Pacific.

The detection method used by Lava provides insight into potential vulnerabilities in data center monitoring. The firm identified the chips using Nvidia’s DCGM Exporter tool, a utility designed for internal health and performance monitoring. While intended for operators within the network, this software is sometimes accessible from outside the data center’s perimeter. Furthermore, it does not always require password authentication, creating a security gap that allowed for external identification. Nvidia has previously confirmed it is developing a dedicated tracking tool for its silicon, but that solution has not yet been released to the public.

The motivation for acquiring these specific chips is clear given their performance metrics. The B300 was announced in March 2025 as a successor to the B200, offering 50 percent more memory and significant gains in FP4 compute capabilities. Nvidia positioned the hardware as built for the age of reasoning, citing compatibility with sophisticated large language models. The chip became a high-demand asset almost immediately after its introduction, leading to various attempts to move units into China despite regulatory hurdles.

Recent legal actions underscore the scale of the smuggling issue. In August 2026, nine individuals were indicted in Taiwan for the illegal export of B300 GPUs. This followed an internal investigation at Supermicro, which resulted in the dismissal of several employees. The operation reportedly involved a Taiwanese server trading firm with whitelisted status, illustrating how compliant entities can sometimes be used to move restricted hardware across borders.

The scarcity of these advanced processors has also driven up the value of older models. Nvidia’s A100 servers, which are five years old, have seen their prices triple in some markets, with units reaching costs of up to $82,000. This price inflation has led some organizations to retool gaming GPUs for AI workloads when newer silicon is unavailable. The B300 discovery adds another data point to the ongoing debate over whether export controls effectively limit China’s access to top-tier AI infrastructure.

Open questions remain regarding the exact pathway these 32 chips took to reach China Telecom’s server racks. Lava has not confirmed the precise location of the hardware within the company’s network. As Nvidia continues to work on its tracking tools, the industry may need to rely more heavily on third-party security audits to verify compliance in the near term.

Source: Tom's Hardware

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