BIRENTECH

Company Profile

BIRENTECH, founded in 2019 and headquartered in Shanghai, is a leading enterprise in China's high-performance general-purpose computing chip sector. The company specializes in developing general-purpose GPUs (GPGPUs) and AI acceleration chips, delivering comprehensive computing solutions for AI training, inference, and high-performance computing across all scenarios. Adhering to a technical strategy of “original core architecture + full-stack software ecosystem,” Bixin is committed to building a domestic intelligent computing industry ecosystem and driving the high-quality development of China's artificial intelligence sector.

On January 2, 2026, BIRENTECH officially listed on the Hong Kong Stock Exchange (Stock Code: 06082.HK), becoming the “first GPU company listed in Hong Kong.” The total fundraising amount reached approximately HK$5.583 billion, setting a record for the largest fundraising scale since the implementation of Chapter 18C of the Hong Kong Listing Rules. This listing marks the company's entry into a new phase of development. Moving forward, it will continue to increase R&D investment and advance the iterative development of its full-stack, independently controlled product portfolio.

Products & Services

BIRENTECH core product isBili™ Series UniversalGPU chip, included:

1. BR100 SeriesFirst-generation universal GPU chip, featuring 7nm process technology and chiplet architecture, delivers outstanding single-chip computing performance and supports large-scale parallel computing.
2. BIRENSUPA Computing PlatformA hardware-software integrated AI computing platform delivering efficient large-model training and inference capabilities.
3. BIRENCUBE Cloud Management PlatformA computing resource scheduling and management system designed for cloud environments, supporting multi-tenant capabilities and elastic scaling.
4. Intelligent Computing Cluster SolutionProviding end-to-end computing infrastructure from chips to systems, it has been deployed at scale across multiple intelligent computing centers nationwide.

Our services span critical industries including AI data centers, telecommunications, energy, fintech, and internet, supporting core scenarios such as artificial intelligence training, inference services, and scientific research innovation.

core technology

1. Original Architecture and Chiplet Technology::
   • Independently developed the “Wall-Standing” architecture, breaking through the limitations of traditional GPU designs to support high-bandwidth, low-latency parallel computing.
   • Pioneering Chiplet high-performance chip packaging technology enables computational power scaling through multi-chip interconnects while reducing manufacturing costs.
2. Optical Interconnect Hypernode Technology::
   • Partnering with collaborators to launch the “LightSphere X” optical interconnect solution, addressing communication bottlenecks in “10,000-card collaboration” computing clusters to enhance the efficiency and scalability of large-scale clusters.
   • This technology received the highest award at the 2025 World Artificial Intelligence Conference (SAIL Award) and has been commercially deployed.
3. Multithreaded Bundle Debugging Technology::
   • Develop a debugging mechanism based on instruction comparison and dynamic triggering to resolve synchronization challenges in multi-core, multi-threaded environments, thereby enhancing the efficiency and precision of AI chip debugging.
4. Full-Stack Software Ecosystem::
   • Build a comprehensive software stack covering hardware drivers, compilers, and development frameworks, supporting mainstream AI frameworks (such as PyTorch and TensorFlow) and customized development requirements.

major client

BIRENTECH has served numerous leading enterprises and institutions, with clients spanning nine Fortune China 500 companies (including five Fortune Global 500 companies). Key clients include:

1. Three major carriersChina Mobile, China Unicom, and China Telecom are utilized to build domestic computing power clusters, supporting services such as 5G and AI.
2. State GridDeploy intelligent computing solutions to optimize energy scheduling and data analysis.
3. Shangtang TechnologyProvide AI training and inference computing power support to accelerate large model development.
4. ZTE Corporation：Collaborative development of AI acceleration solutions for the communications sector.

Additionally, the company has secured an order backlog of 822 million yuan, demonstrating strong customer loyalty and significant achievements in commercialization.

development prospect

1. Driven by both policy and market forces::
   • The national “computing power autonomy” policy is accelerating the transition to domestically produced GPUs. As a pioneer in high-end GPGPU innovation, Bairen Technology stands to benefit from this policy dividend.
   • The global AI chip market is projected to exceed $300 billion by 2030, with a compound annual growth rate surpassing 20%, indicating vast market potential.
2. Technology Iteration and Ecosystem Development::
   • Raised 851 million yuan for R&D, focusing on advancing the next-generation flagship chip BR20X (launching in 2026), cloud training/inference chip BR30X, and edge inference chip BR31X (launching in 2028).
   • By adopting a model of “hardware scale + high-margin software + ecosystem lock-in,” we establish a closed-loop profit system to enhance long-term competitiveness.
3. Accelerated domestic substitution::
   • ByteDance and other companies are ramping up procurement of domestically produced AI chips (with plans to purchase over 40 billion yuan worth by 2026), filling the computing power gap left by NVIDIA's supply cutoff and presenting a historic opportunity for WallRidge Technology.
   • The company's products have achieved large-scale commercial deployment, with leading technological maturity and market recognition.
4. Challenges and risks::
   • The commercialization cycle in the high-end GPGPU sector is lengthy and capital-intensive, requiring sustained investment to maintain technological leadership.
   • Customer concentration is relatively high (the top five customers account for over 90% of revenue), necessitating the expansion of a diversified customer base to mitigate risks.