From Nvidia VP to AI Chip Pioneer: How James Zhang Builds China’s Moore Threads

Discover how James Zhang, ex-Nvidia VP, founded Moore Threads, China’s rising AI GPU startup. Learn about its rapid IPO, FP8 GPU innovations, and role in powering domestic AI models.

Introduction

China’s race to achieve AI chip self-sufficiency is heating up, and Moore Threads is leading the charge. Founded by James Zhang Jianzhong, a former Nvidia vice-president, the company has quickly become a standout in China’s GPU landscape.

With its Shanghai IPO approved in just 88 days, Moore Threads is not only growing fast but also positioning itself as a critical player in AI computing. The company’s journey reflects China’s ambition to compete globally in AI hardware, even amid US-China tech tensions.

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5-Point Overview: Moore Threads at a Glance

Founder Background: James Zhang, former Nvidia VP and China GM, launched Moore Threads in 2020 to build high-performance GPUs for AI applications.

Rapid IPO: Approved by the Shanghai Stock Exchange in just 88 days, aiming to raise 8 billion yuan ($1.12B) for expansion.

GPU Innovations: Developed four GPU generations—Sudi, Chunxiao, Quyuan, Pinghu—with FP8 architecture for large AI models.

Overcoming Challenges: Navigated US Entity List sanctions, internal restructuring, and R&D hurdles while maintaining growth.

Strategic Partnerships: Collaborates with AI startups like DeepSeek and peers such as Huawei and Cambricon, strengthening China’s AI ecosystem.

James Zhang: From Nvidia VP to Entrepreneur

James Zhang’s career is a blueprint for success. A computer science graduate from Nanjing University of Science and Technology, he joined Nvidia in 2005. Over 14 years, he rose to VP and general manager of Nvidia’s China operations, helping the US chip giant expand in the mainland.

Before Nvidia, Zhang gained experience at HP and Dell, building a strong foundation in enterprise hardware. His industry credibility attracted top talent from Nvidia and AMD, giving Moore Threads an early advantage.

Venture investors also noticed. Firms like GGV, Sequoia China, and tech giants such as ByteDance and Tencent backed Moore Threads, fueling rapid growth and a multibillion-dollar valuation even before its IPO.

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Rapid IPO and Market Growth

In June 2025, Moore Threads filed for a Shanghai Stock Exchange IPO, aiming to raise 8 billion yuan ($1.12B). Approval came in just 88 days, marking one of the fastest listings on the Star Market.

This milestone signals China’s commitment to accelerating domestic GPU development. Analysts say the IPO enables Moore Threads to scale production, expand commercial adoption, and strengthen its role in the domestic AI ecosystem.

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GPU Innovations Powering China’s AI

Moore Threads has launched four GPU generations: Sudi, Chunxiao, Quyuan, and Pinghu. The latest 2024 release supports AI models with trillions of parameters, making it compatible with advanced large language models from domestic startups like DeepSeek.

The company is also pioneering FP8 architecture, optimized for AI computing efficiency. Its KUAE GPU intelligent computing cluster enables distributed deployment of AI models, offering a full-stack solution for China’s AI data centers.

These innovations make Moore Threads a key hardware partner for domestic AI, competing directly with both local and international players.

Overcoming Challenges and US Sanctions

Moore Threads has faced serious hurdles. In October 2023, the US added the company to its Entity List, restricting access to critical foreign technologies.

The startup responded with internal restructuring and strategic layoffs to focus on GPU R&D. Zhang reassured employees that these measures were necessary for long-term innovation, highlighting the company’s resilience and determination.

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Financials and Market Position

Despite challenges, Moore Threads has grown rapidly. Revenue in 2024 reached 438.5 million yuan, with a CAGR exceeding 200% over three years.

Profitability remains a challenge. The net loss in 2024 was 1.5 billion yuan, slightly lower than 1.7 billion in 2023, reflecting heavy R&D and inventory investments.

While Moore Threads still trails US counterparts in single-chip performance and software maturity, its domestic focus and growing ecosystem partnerships provide significant future potential.

Strategic Partnerships and Future Outlook

Moore Threads partners with DeepSeek to deploy its KUAE GPU clusters for distributed AI model training. Alongside Huawei, Cambricon, and MetaX, it is emerging as a leading AI hardware provider in China.

Its focus on FP8 architecture and full-stack AI solutions positions Moore Threads to support next-generation AI models while expanding commercial adoption. Analysts see it as a cornerstone of China’s AI hardware strategy.

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Conclusion

Moore Threads embodies China’s ambition to become self-reliant in AI hardware. Led by James Zhang, the company has navigated sanctions, restructuring, and high R&D costs to emerge as a domestic GPU leader.

With a rapid IPO, innovative GPU architectures, and strategic AI partnerships, Moore Threads is not just building chips—it’s shaping the future of AI in China. For investors, developers, and tech enthusiasts, this is a company to watch closely..

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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