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

What Does Copilot Actually Change for Your ERP Team?

The promise of total operational automation often vanishes the moment a finance director attempts to reconcile a complex discrepancy within a live enterprise resource planning environment. While the current year has seen an explosion in the accessibility of artificial intelligence, many organizations still struggle to find the line between marketing hype and tangible utility. For teams utilizing Dynamics 365, the

How Does Modern ERP Drive Manufacturing Efficiency?

A single delayed shipment or a minor equipment glitch can trigger a cascade of failures across a production line, turning a profitable shift into a logistical nightmare that erodes profit margins and damages customer trust. This fragility stems from a historical reliance on fragmented data sets and disconnected communication channels that fail to account for the speed of the contemporary

Howl Louder Debuts GEO Service for B2B AI Search Visibility

As the traditional search landscape fractures under the weight of generative AI models that provide direct answers instead of lists of links, B2B enterprises are finding that their legacy SEO strategies no longer drive the same volume of high-intent traffic to their landing pages. This shift toward answer-based search has created a vacuum where visibility is measured not by page

How Will Market Intelligence Redefine B2B Marketing in 2026?

The high-stakes negotiation for a multi-million dollar software enterprise contract no longer involves a handshake or a shared dinner, but rather a seamless digital handshake between two hyper-optimized algorithms. In this landscape, marketing to human executives has shifted significantly toward addressing autonomous procurement agents that analyze technical specifications with cold, calculated efficiency. The manual quarterly report and the reliance on

Microsoft Quietly Dominates the B2B Marketing Ecosystem

While the marketing world remained fixated on the volatility of consumer social media and search engine updates, a three-trillion-dollar giant was methodically re-engineering the very pipes of global commerce. With quarterly revenues hitting $90 billion—an 18% year-over-year increase—Microsoft has moved far beyond its legacy as a provider of operating systems and spreadsheets. It has quietly assembled a comprehensive marketing machine