NVIDIA and AMD Launch AI Chips for China Under U.S. Export Rules

NVIDIA and AMD will launch AI chips in China by July 2025, including the B20 and Radeon AI PRO R9700, tailored to comply with U.S. export rules. With performance capped under regulatory thresholds, these GPUs aim to support China’s enterprise AI needs without violating tech trade restrictions. NVIDIA is also rolling out a lower-cost chip based on Blackwell architecture, signaling a shift toward compliant yet capable AI compute options in restricted markets.
NVIDIA and AMD Launch AI Chips for China Under U.S. Export Rules

NVIDIA and AMD are preparing to release new AI-focused GPUs in China by July 2025. These chips are being specifically designed to comply with the latest U.S. export regulations, which limit the sale of advanced semiconductor technology to China. The move is an effort to maintain access to a vital market while staying within the bounds of Washington’s evolving trade policies.


The news, reported by Taiwanese tech outlet Digitimes and corroborated by recent updates from Reuters, confirms that both chipmakers are developing adjusted versions of their AI products to meet the regulatory thresholds.

NVIDIA and AMD Launch AI Chips in China for July 2025 Market Entry

According to supply chain sources, NVIDIA plans to introduce a scaled-down AI chip, internally code-named “B20.” This GPU is crafted to deliver AI computing capabilities while remaining under the performance limits imposed by U.S. export controls. The B20 follows the same design logic as other NVIDIA chips built for machine learning, inference, and data-intensive workloads—but with parameters that sidestep export bans.

Meanwhile, AMD is preparing to launch the Radeon AI PRO R9700, a workstation-class GPU tailored for AI workloads. The chip will serve enterprise and commercial clients in China who need capable AI performance without violating U.S. restrictions.

NVIDIA Launches Budget AI Chip with Blackwell Architecture for China

In addition to the B20, NVIDIA is developing another AI chip based on its latest Blackwell architecture. The upcoming chip is expected to be priced between $6,500 and $8,000, offering a lower-cost alternative to NVIDIA’s higher-end H20 GPUs, which typically retail between $10,000 and $12,000.

This pricing strategy shows how NVIDIA is reshaping its portfolio to remain competitive in regulated markets. The Blackwell-based chip will appeal to Chinese firms seeking AI acceleration solutions within legal export boundaries.

How Export Rules Affect NVIDIA as It Launches AI Chips in China

The decision to roll out new chips comes after significant financial losses for NVIDIA. In Q1 2025, the company recorded a $4.5 billion charge directly tied to licensing restrictions that blocked H20 chip sales to Chinese customers. An additional $2.5 billion worth of inventory could not be shipped during the same period due to regulatory delays.

Looking forward, NVIDIA has projected a potential $8 billion hit to its revenue in Q2 2025 if the licensing constraints continue to stall shipments. These numbers underscore the substantial toll U.S. policies are taking on AI hardware vendors with major exposure to the Chinese market.

Adaptation Strategy Amid Tightening U.S.–China Tech Tensions

Despite these setbacks, both NVIDIA and AMD are adjusting their product strategies to remain viable players in China’s AI ecosystem. The development of new GPUs that fall below U.S.-imposed thresholds illustrates a tactical response to ongoing trade friction.

Rather than exit the market, these chipmakers are building compliant hardware that can support AI applications such as machine learning, data analytics, and automation, albeit with performance caps.

This approach helps them stay competitive in one of the world’s largest and fastest-growing AI markets, where demand for AI compute is still high despite geopolitical challenges.

Implications for China’s AI and Semiconductor Ecosystem

For Chinese tech companies, the release of these adjusted chips provides a path forward. While not as powerful as unrestricted products like the H100 or MI300, the new GPUs still offer meaningful capabilities for a range of enterprise and industrial AI tasks. This ensures ongoing progress in sectors such as smart manufacturing, retail, healthcare, and financial services.

Access to legal, AI-capable GPUs helps Chinese firms navigate trade regulations while continuing to build and scale AI platforms. From autonomous systems to digital services, the demand for AI compute power shows no sign of slowing, and chipmakers are working to deliver options that meet that demand within legal limits.

Are NVIDIA and AMD Launches Setting a New Standard for Compliant AI Chips?

The release of the B20 and Radeon AI PRO R9700 may signal a broader trend for the semiconductor industry. In a world where geopolitical dynamics increasingly shape market access, chipmakers might standardize the development of tiered product lines, offering compliant variants for restricted markets.

As U.S.–China tech tensions continue, we may see more AI chips launched under similar compliance strategies. This allows global semiconductor players to sustain revenue while respecting policy frameworks and reducing the risk of regulatory penalties.

NVIDIA and AMD Launch AI Chips: A Blueprint for Compliance-Driven Innovation

The upcoming AI GPU launches from NVIDIA and AMD mark a calculated move to balance innovation, compliance, and market demand. By introducing legally exportable AI chips tailored for China, these companies are not just responding to restrictions—they’re reshaping their business models to ensure long-term presence in a key region.

As July approaches, all eyes will be on the rollout of these new GPUs and how Chinese enterprises adopt them. In the evolving AI chip landscape, regulatory agility may prove just as important as raw processing power.


Recent Content

The global market for agentic AI is anticipated to grow from an estimated USD 13.81 billion in 2025 to USD 140.80 billion by 2032 at a compound annual growth rate (CAGR) of 39.3% during the forecast period.
Qualcomm teams up with Lenskart to introduce AI-driven smart glasses to India, leveraging Snapdragon XR platforms for immersive AR, VR, and MR experiences. With over 100 devices already powered by Snapdragon XR and a strong push for localized innovation, Qualcomm is betting big on spatial computing as the next phase of everyday tech.
5G-Advanced is redefining mobile networks through AI-native intelligence, sustainability, and advanced capabilities like XR support, NTN integration, and low-latency industrial IoT. Built on 3GPP Releases 18–20, it enables predictive automation, 30% energy savings, and sets the stage for 6G.
Memphis Light, Gas and Water (MLGW) and Nokia have launched the first standalone private 5G network by a U.S. municipal utility. This $31 million investment will modernize infrastructure across Memphis and Shelby County, enhancing real-time monitoring, outage response, cybersecurity, and smart grid capabilities for over 420,000 customers.
Predicting AI’s future is difficult, but its impact on work and life is certain. Many organizations are hesitant, “nibbling around the corners” instead of embracing transformative applications. This slow adoption, however, has allowed us to better understand and utilize large language models. The AI revolution mirrors the steam engine transformation, with organizations needing to integrate AI to stay competitive. The biggest winners will be those that successfully integrate AI, gaining a significant advantage. The most significant transformation will be in knowledge management, how organizations make decisions and leverage collective intelligence.
Connected aviation is transforming airports with secure private networks, IoT, and real-time data. This article unpacks how smart airports boost efficiency, safety, and passenger experience while unlocking new business value with real-world case studies from Heathrow, Changi, Dubai, and more.
Whitepaper
As VoLTE becomes the standard for voice communication, its rapid deployment exposes telecom networks to new security risks, especially in roaming scenarios. SecurityGen’s research uncovers key vulnerabilities like unauthorized access to IMS, SIP protocol threats, and lack of encryption. Learn how to strengthen VoLTE security with proactive measures such as...
Whitepaper
Dive into the comprehensive analysis of GTPu within 5G networks in our whitepaper, offering insights into its operational mechanics, strategic importance, and adaptation to the evolving landscape of cellular technologies....

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025