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nvidia

NVIDIA (NASDAQ: NVDA) is a technology company focused on innovations in accelerated computing, with GPU (graphics processing unit) as its core technology, driving the revolution in artificial intelligence (AI), graphics rendering, and high-performance computing (HPC). NVIDIA's ecosystem encompasses hardware (such as GPUs and CPUs), software platforms (such as CUDA and Omniverse), and cloud services, as well as sustainable computing and digital twin technologies.
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NVIDIA CEO Jensen Huang holds nearly 870 million shares, with a net worth of approximately 200 billion USD

NVIDIA CEO Jensen Huang held approximately 870 million shares of NVIDIA stock as of March 23, 2026, accounting for 3.58% of the company's total equity. Based on NVIDIA's stock price of $231.49 in early October, this portion of shares is valued at approximately $201 billion. According to Forbes, Jensen Huang currently has a net worth of about $200 billion, with his personal wealth primarily derived from his holdings in NVIDIA.Jensen Huang is known to be the largest individual shareholder of NVIDIA. Due to U.S. SEC regulations, individual investors holding less than 5% of shares are not required to disclose their holdings, so it is possible that there are undisclosed individual shareholders with holdings exceeding those of Jensen Huang. Major institutional shareholders currently holding more than 5% include BlackRock and Vanguard Group, with ownership percentages of 7.43% and 7.31%, respectively.Jensen Huang co-founded NVIDIA in 1993. Before NVIDIA's first stock split in 1999, he held approximately 2.9 million shares, accounting for 9.9% of the company. If he had retained those shares until now, adjusted for stock splits, it would be close to 2.8 billion shares, indicating that he has since reduced his holdings. In fiscal year 2025, NVIDIA paid him a total compensation of $35.5 million, which included a base salary of $1.5 million, a cash bonus of $3 million, and approximately $31 million in equity granted in the form of 936,800 performance stock units.

first_img Tavus claims that the Griffin model causes 48% of video call participants to mistakenly believe they are interacting with a real person

AI startup Tavus released a new model called Griffin on October 1, referring to it as the first "human interaction model" that can understand and generate face-to-face conversations, paying attention not only to wording but also to expressions and pauses. Tavus stated that in tests, after a one-minute video call with Griffin-Lite, 26 out of 54 participants (48%) believed the other party was a real person; its previous generation system only convinced 1 out of 41 participants.Participants were told they would have a one-minute video call with another person to discuss things they were looking forward to this year, and only at the end of the call were they asked if they suspected the other party was not a real person. Tavus noted that those who became suspicious typically noticed within 20 seconds. This result comes from Tavus's own research page, where participants were recruited through a channel they call an independent research platform. Community comments on X pointed out that these results have not been independently verified and do not meet standard protocols.In the NVIDIA VideoFDB benchmark, Tavus claimed Griffin-Lite ranked first, with a generation dimension score of 3.83, the next best system scoring 2.8, and human reference scoring 3.92; the perception dimension score was 3.73, with the strongest baseline at 3.44 and human reference at 4.2. Tavus stated that NVIDIA independently conducted this evaluation. Griffin supports full duplex, allowing it to listen, see, and speak simultaneously, with an average audio-video delay of 0.43 seconds on the NVIDIA H100 chip. Tavus completed a $40 million Series B funding round led by CRV in November 2025.

first_img Ming-Chi Kuo: NVIDIA tests fiberglass-free copper-clad laminates

Tianfeng International Securities analyst Guo Mingqi published that his latest supply chain check shows that NVIDIA has begun testing fiberglass-free copper-clad laminates primarily made of hydrocarbon resin to replace the previously tested fiberglass-free PTFE copper-clad laminates, along with fiberglass-free hydrocarbon prepregs. The test aims to confirm whether this combination can meet the requirements of the Rubin Ultra NVL576 exchange tray PCB. NVL576 is an eight-rack interconnection solution expected to enter mass production in the second half of 2027.Guo Mingqi stated that preliminary tests conducted to enhance PCB manufacturability show that the fiberglass-free hydrocarbon copper-clad laminate has met the high-frequency electrical requirements of the exchange tray. Its electrical performance lags behind the original PTFE solution but is better than the M9 level solution and exceeds the M10 published specifications. This result does not represent the final material selection, indicating that NVIDIA is still seeking higher PCB manufacturing yields and production efficiency while meeting electrical requirements.Guo Mingqi mentioned that Shengyi Technology is currently the leading supplier for the NVL576 exchange tray material evaluation, with related materials including fiberglass-free PTFE copper-clad laminate SG5300N, fiberglass-free hydrocarbon copper-clad laminate SG1030N, and fiberglass-free hydrocarbon prepreg SIF09. SG1030N and SIF09 still contain a small amount of PTFE. He also stated that once specifications are confirmed and mass production begins, Shengyi Technology is expected to accelerate procurement from Chinese hydrocarbon material suppliers such as Dongcai, Shengquan, and potential supplier GCH Technology.

first_img Alibaba ModelScope competes with MoArk for the domestic open-source model platform

According to Rest of World, Alibaba launched the open-source model platform ModelScope in 2022, and OSChina launched MoArk in 2023, providing model hosting, testing, and customization services for Chinese developers behind firewalls. In 2023, Chinese regulators blocked Hugging Face without disclosing specific reasons; reports indicate that the government simultaneously allowed artificial intelligence laboratories to bypass the blockade to share Chinese models globally. ModelScope currently hosts over 170,000 models and stated in March that it has 170,000 models and 250 million users; MoArk hosts about 20,000 commonly used models, both still below Hugging Face, which hosts over 3 million open models.OSChina CEO Xu Yong stated that not everyone can always use a VPN, and China needs to establish an independent artificial intelligence ecosystem that serves Chinese users, claiming that China is developing an independent ecosystem faster than during the internet era. He also mentioned that MoArk has deployed engineering teams to ensure that models can run on different types of Chinese chips, making it their mission to ensure mainstream open models are compatible with Chinese chips. Both platforms offer some services for free, with additional computing power and premium features charged; ModelScope also hosts university hackathons and has opened co-working and event spaces for AI entrepreneurs in Hangzhou.Headquartered in New York, Hugging Face is a major platform for sharing open models and datasets. In September, Nvidia announced its acquisition of the company for $12.9 billion and noted in regulatory filings that regulators might prohibit sharing Chinese models on the site.
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