长信科技:Subsidiary's UTG Products Featured in vivo X Flip and OPPO Find N3 Flip
金融界1月2日消息,有投资者在互动平台向长信科技提问:请问公司现在给哪些客户供应UTG产品,华为和荣耀的折叠屏手机现在是否开始采用国产UTG屏,公司有与他们合作吗
公司回答表示:1、公司在UTG领域技术储备充分,2023年4月20日,搭载公司子公司东信光电UTG产品的vivo x flip已经上市发布,2023年8月29日上市发布的OPPO Find N3 Flip使用的UTG产品为东信光电独供,公司与OPPO、VIVO在内的国内主流手机客户均有量产合作,后续将与国内外主流手机客户推出更多可折叠UTG产品;2、公司在UTG方面的申请专利多达数百余项,其中发明专利有五十余项,包括与H客户、荣耀共同申请的专利。
本文源自金融界AI电报
Tencent, Baidu and Sequoia China Invest in AI Company Infinigence
BEIJING, December 6 (TMTPOST) – Infinigence AI, a large AI model computing power company affiliated with Tsinghua University, has recently welcomed heavyweight investors including Baidu, Tencent, Zhipu AI, and Sequoia China, according to its business registration.
The company has also added several key personnel, including Cao Xi, founding partner of Monolith as a director on the board.
According to public information, Infinigence AI has completed three rounds of financing, all undisclosed, with Sequoia China as the lead investor.
The company was founded in May 2023, with the aim to create the best integrated solution for large model software and hardware.
The founding team is led by Wang Yu, the director of the Department of Electronic Engineering at Tsinghua University. Xia Lixue, the CEO of the company, and Zeng Shulin, the legal representative of the company, are both students of Wang.
Wang Yu is the director of the Department of Electronic Engineering at Tsinghua University
Wang, the youngest department head at Tsinghua University, is known as a "pioneer" in AI chips and holds titles such as IEEE Fellow.
In January 2016, the deep learning processor project led by Wang passed the evaluation by the School of Electronic Information at Tsinghua University and received support. Subsequently, the project team turned their intellectual property into shares and established the AI chip company DeePhi Tech for industrial operation.
In 2018, DeePhi Tech was acquired by the world's largest FPGA manufacturer, Xilinx, and later Xilinx was acquired by the U.S. chip giant AMD. It became the most successful AI chip company in China.
In early 2023, with AI large models represented by ChatGPT gaining popularity globally, the era of AI 2.0 was arriving. However, challenges such as high training costs and deploying computing facilities still constrained the development of large models.
In July 2023, at the World Artificial Intelligence Conference, Wang said that Infinigence AI is a platform for MxN software and hardware joint optimization in large models. By utilizing its platform infrastructure, the company aims to reduce inference costs, fine-tuning costs, and labor costs by more than 10 times, while also increasing text length by more than 10 times.
In November 2023, Infinigence AI, in collaboration with teams from Tsinghua University and Shanghai Jiao Tong University, published a paper on Arxiv introducing a new method called FlashDecoding++. This method achieves true parallelism in attention calculation through asynchronous methods, resulting in a 2-4 times speedup in GPU (graphics processing unit) inference. On Nvidia A100 GPUs, the average acceleration of inference is 37%, and it can support GPUs from both Nvidia and AMD.
FlashDecoding++ has been integrated into Infinigence AI's large model computing engine "Infini-ACC." With the support of "Infini-ACC," Infinigence AI is developing a series of integrated solutions for large model software and hardware, including the large model "Infini-Megrez".
"Infinigence AI aims to promote the development of large model technologies across various industries," said Wang in July of this year.
(This article was first published on the TMTPost App, Author | Lin Zhijia)
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