Shulou(Shulou.com)11/24 Report--

On November 15, at the opening ceremony of the High-tech Fair, Yuntian Lifei released a new generation of AI chip DeepEdge10.

Dr. Chen Ning, chairman and CEO of Yuntian Lifei, introduced the DeepEdge10 chip at the opening ceremony of the high-tech fair.

DeepEdge10 is the first domestic 14nm Chiplet large model reasoning chip, which adopts self-controllable domestic process and contains domestic RISC-V core to support large model reasoning deployment. Relying on the self-developed chip DeepEdge10's innovative D2D chiplet architecture, the X5000 inference card has adapted and can carry 10 billion-level large model operations such as SAM CV model and Llama2, and can be widely used in AIoT edge video, mobile robot and other scenes.

DeepEdge10

DeepEdge10 Max

Yuntian Lifei is a rare AI enterprise that insists on chip research and development since its inception. At present, it has completed the research and development of third-generation instruction set architecture and fourth-generation neural network processor architecture, and has been commercially used one after another. What is more valuable is that through years of investment, the company has established a core chip team with an average design experience of more than 14 years. Yuntian Lifei's chip has also won the artificial intelligence project of the Ministry of Industry and Information Technology, the Development and Reform Commission, and the Ministry of Science and Technology, and won the "Wu Wenjun artificial Intelligence Science and Technology Award" three times.

In the era of large model, AI reasoning chip is the key carrier for application landing.

The market value of marginal computing shows a trend of rapid development. IDC predicts that by the end of 2023, the global marginal computing market will reach 200 billion US dollars; by 2026, the global marginal computing market will exceed 300 billion US dollars.

The scene of edge computing presents the characteristics of computing power fragmentation, algorithm long tail, product non-standardization and scale fragmentation. Traditional algorithm development and chips are difficult to meet the product needs of the new generation of artificial intelligence edge computing scenarios. The emergence of large models provides an algorithm-level solution for the industry. However, if the large model is to play a role in the edge computing scene, it needs the support of the AI large model reasoning chip.

For AI chips, the large model brings new computational generalizations and computing requirements. The chip needs to have more computing power, larger memory bandwidth and larger memory capacity in order to support large models with huge parameters to run at the edge. At the same time, the AI edge reasoning chip also undertakes the responsibility of "the last kilometer of landing application", which means that the AI edge reasoning chip should not only support AI computing tasks such as large models, but also need to have strong general computing power.

To meet the requirements of the above scenarios, Yuntian Lifei has created a new generation of edge computing chip DeepEdge10. The chip has SoC master control integration; uses D2D Chiplet technology and C2C Mesh expansion architecture to achieve flexible expansion of computing power; built-in the latest fourth-generation neural network processor.

Based on a series of innovative technologies, Yuntian Lifei has created a series of chips. At present, three chips such as Edge10C, Edge10 Standard Edition and Edge10Max have been developed; the shipping form includes chip, board, box, accelerator card, reasoning server and so on, which can be widely used in AIoT edge video, mobile robot and other scenarios. Relying on Dee Edge10's innovative D2D chiplet architecture, the X5000 inference card has been adapted and can carry tens of billions of large model operations such as SAM CV model and Llama2.

At present, Yuntian Lifei has provided the IP license of neural network processor to domestic AIoT chip designers, smart car chip designers, service robot manufacturers and state key laboratories.

Li Aijun, vice president of Yuntian Lifei and general manager of chip product line, introduced the DeepEdge10 situation in detail at the AI chip press conference in Yuntian Lifei.

Algorithm chip, Yuntian Lifei creates the core "weapon" of AI chip.

Since its establishment in 2014, Yuntian Lifei has been adhering to the independent research and development of chips to precipitate the core competence of "algorithm chipization". " Algorithm chiping is not a simple "algorithm + chip", but an AI chip design process based on the understanding of the scene, the quantitative analysis of the key computing tasks of the algorithm in the application scenario, and the integration of chip designers' ideas, ideas and algorithms, which can make AI chips play a better effect in practical applications.

With the support of the core competence of algorithm chip, Yuntian Lifei has completed the research and development of the third-generation instruction set architecture and the fourth-generation neural network processor architecture, and has been commercialized one after another. What is more valuable is that through years of investment, the company has established a core chip team with an average design experience of more than 14 years.

Yuntian Lifei's independent research and development chip is also an important engine of the company's self-evolving urban agent strategy. In 2020, Yuntian Lifei officially released the self-evolving urban agent strategy at the High-tech Fair. The core logic driving the development of self-evolving urban agents is to create a data flywheel that "applies production data, data training algorithms, algorithm definition chips, and chip scale enabling applications". Chip is not only the key carrier to determine the breadth and depth of AI application, but also an important computing support for the construction of self-evolving urban agents.

In the future, Yuntian Lifei will continue to strengthen independent research and development, based on self-controllable, self-developed "core" to provide a powerful engine for the development of self-evolving urban agents.

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