Chinese GPU Startup Receives Investment for CUDA and OpenCL-Compatible Chips

In a significant development for the Chinese GPU market, Denglin, a promising startup based in Shanghai, has secured a substantial investment to develop chips that are compatible with NVIDIA’s CUDA and OpenCL programming models. This investment is expected to boost the company’s efforts to compete with established players and introduce advanced GPU technology to the domestic market.

Background

Founded in 2017, Denglin has emerged as a notable contender in the GPU sector. Its recent funding from the China Internet Investment Fund (CIIF), jointly initiated by the State Cyberspace Administration of China and the Ministry of Finance, signals strong support for the startup’s chip development endeavors. The focus of these efforts is to create chips that not only cater to the domestic market but also deliver compatibility with CUDA and OpenCL programming models.

Chip Usage and Applications

Denglin’s chips, primarily designed for General-Purpose Graphics Processing Unit (GPGPU) applications, offer promising prospects for a range of usage scenarios. Beyond GPGPU, these chips hold potential for deployment in more premium markets such as High-Performance Computing (HPC) and Artificial Intelligence (AI), given their compatibility with industry-standard programming models.

GPU+ Technology

Denglin’s approach to chip development revolves around leveraging the GPU+ technology. This innovative solution boasts a software-defined on-chip heterogeneous computing architecture that supports both CUDA and OpenCL programming models. By utilizing this technology, Denglin aims to provide a flexible and powerful platform for developers, enabling seamless integration with existing programming frameworks and libraries.

Product Lineup

Denglin made an impressive entrance into the market by unveiling four distinct products with varied applications, ranging from gaming to AI training. Among these, the flagship solution is the Goldwasser chip, specifically engineered for AI-based compute acceleration. Additionally, the UL32 and UL64 solutions offer impressive specifications, delivering compute capabilities of up to 64 TOPs INT8 and 16 TFLOPs FP16, with support for up to 16 GB memory and 64-channel video encoding at 1080P@30FPS.

Development progress

Building on its initial success, Denglin has already reached a crucial milestone with its second-generation GPUs being taped out in 2022. This successful tape-out signifies that the design phase is complete, and the company is now gearing up for mass production, slated for the current year. This progress underscores Denglin’s commitment to delivering cutting-edge GPU technology to the market.

Performance and Cost Benefits

The upcoming GPUs from Denglin are poised to deliver remarkable performance gains, particularly in transformer-based models. Early estimates indicate an impressive 3-5 times increase in performance compared to previous generations. Furthermore, Denglin’s chips promise to significantly reduce hardware costs in demanding workloads, such as ChatGPT and Generative AI, making them an attractive option for businesses looking to optimize their AI infrastructure.

Funding source

The financial backing received by Denglin emanates from the CIIF, a strategic investment fund jointly established by the State Cyberspace Administration of China and the Ministry of Finance. This support reflects the government’s recognition of the startup’s potential and the importance of fostering innovation in the rapidly evolving GPU market.

Competition and market potential

Denglin’s chips, with their CUDA and OpenCL compatibility, position them as formidable competitors to established industry players like NVIDIA. By offering a domestic alternative, Denglin aims to fulfill the growing demand for powerful and versatile GPU solutions in the Chinese market. The ability to support popular programming models further enhances the startup’s potential as a viable choice for developers and businesses.

The recent investment received by Denglin underscores the growing momentum of the Chinese GPU industry. With CUDA and OpenCL compatibility as distinguishing features, Denglin’s chips hold tremendous promise in the domestic market while simultaneously challenging global players. As the company progresses towards mass production, the industry eagerly awaits the introduction of these GPUs, which are expected to deliver unparalleled performance gains, reduce hardware costs, and fuel innovation across diverse sectors such as AI, HPC, and gaming.

Explore more

Is the Mistic Backdoor Hiding in Your Security Tools?

Introduction The emergence of the Mistic backdoor represents a sophisticated advancement in the arsenal of modern cybercriminals, specifically those operating within the niche of Initial Access Brokering (IAB). This malicious software, also identified by some security researchers as MLTBackdoor, has been actively infiltrating corporate environments throughout the first half of 2026. Its primary strength lies in its ability to camouflage

Is the Redmi 17C the New King of Budget Smartphones?

Dominic Jainy is a seasoned IT professional with a deep understanding of how hardware evolution impacts the budget mobile market. Today, he breaks down Xiaomi’s latest strategic move with the Redmi 17C, a device that surprisingly leaps over a generation to deliver high-refresh-rate displays and massive battery life to the entry-level segment. We explore the balance between essential utility features,

How Can PowerTool Speed Up Business Central Data Migrations?

Modern enterprises frequently encounter significant friction during ERP transitions because traditional data migration methods often fail to accommodate the sheer volume and complexity of contemporary datasets. In 2026, the demand for agility within Microsoft Dynamics 365 Business Central has reached a point where standard configuration packages, while functional for small tasks, often act as a bottleneck for larger implementations. The

How to Move Beyond the Portal to a True Developer Platform?

Dominic Jainy stands at the forefront of the modern cloud-native movement, possessing a deep technical mastery of artificial intelligence, machine learning, and blockchain architectures. With years of experience navigating the complexities of large-scale IT infrastructures, he has become a leading voice in the evolution of platform engineering. His perspective is shaped by the practical realities of moving beyond simple automation

Will AI Token Costs Soon Surpass Developer Salaries?

Recent financial projections indicate that the cost of maintaining high-frequency artificial intelligence interactions is rapidly approaching the median annual compensation of experienced software engineers in the global market. As the software development industry undergoes a radical transformation, the traditional overhead associated with human labor is being challenged by the sheer volume of data processed through large language models. This shift