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Nvidia H20 will sell 1 million units this year, contributing $12 billion in revenue!

Recently, according to the FT, citing the latest forecast data of the market research institute SemiAnalysis, AI chip giant NVIDIA will ship more than 1 million new NVIDIA H20 acceleration chips to the Chinese market this year, and it is expected that the cost of each chip is between $12,000 and $13,000. This is expected to generate more than $12 billion in revenue for Nvidia.

Affected by the United States export control policy, Nvidia's advanced AI chip exports to China have been restricted, H20 is Nvidia based on H100 specifically for the Chinese market to launch the three "castration version" GPU among the strongest performance, but its AI performance is only less than 15% of H100, some performance is even less than the domestic Ascend 910B.

When Nvidia launched the new H20 in the spring of this year, there were reports that due to the large castration of H20 performance, coupled with the high price, Chinese customers' interest in buying is insufficient, and they will turn more to choose China's domestic AI chips. Then there are rumors that Nvidia has lowered the price of the H20 in order to improve its competitiveness.

However, the latest news shows that due to supply issues caused by the low yield of the Ascend 910B chip, Chinese manufacturers in the absence of supply and other better options, Nvidia H20 has started to attract new purchases from Chinese tech giants such as Baidu, Alibaba, Tencent and Bytedance.

Analysts at both Morgan Stanley and SemiAnalysis said the H20 chip is now being shipped in bulk and is popular with Chinese customers, despite its performance degradation compared to chips Nvidia sells in the United States.

Audi RS e-tron GT intelligent cockpit innovation analysis
RS e-tron GT: Shares J1 platform with Porsche Taycan. The iconic closed hexagonal "big mouth" is quite a brand recognition, and the rear of the car uses a decorative design shaped like a diffuser. Although the difference between it and the regular e-tron GT is very limited, the "RS" nameplate on the rear of the car means that it is not an ordinary person, of course, low-key is also the style of AUD-Sport. The center console continues the family design of the Audi brand, the lines are simple and refined, and the center control screen, the front air conditioning control panel and the function keys below are obviously tilted to the driver's side, echoing the product positioning of the driver's car. Sports seats, leather fabrics with red stitches, etc. appear in the configuration table of the car, rendering the interior sports atmosphere just right, and the overall beauty of the cabin has been affirmed by the reviewers. Although the official model of the cockpit chip selected by the car has not been announced, it has a high score in the evaluation items such as the cold start speed of the car, the start speed of the core application and the navigation search speed, which shows that the car performance is good. In addition, in terms of specifications and accuracy, the car received full marks in the touch accuracy and screen sharpness evaluation, and the daily high-frequency interaction experience is excellent. Of course, if you optimize the voice car control ability, its intelligent experience will be a higher level.
Stanford AI project team apologizes for plagiarizing Chinese model
An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times
Exclusive: India's Paytm gets government panel nod to invest in payments arm, sources say
NEW DELHI, July 9 (Reuters) - India's beleaguered Paytm (PAYT.NS), opens new tab has secured approval from a government panel that oversees investments linked to China to invest 500 million rupees ($6 million) in a key subsidiary, three sources with direct knowledge of the matter said. The approval, which still has to be vetted by the finance ministry, will remove the main stumbling block to the unit, Paytm Payment Services, resuming normal business operations. Paytm Payment Services is one of the biggest remaining parts of the fintech firm's business, accounting for a quarter of consolidated revenue in the financial year ended March 2023. A separate unit, Paytm Payments Bank, was wound down this year by order of the central bank due to persistent compliance issues, triggering a meltdown in Paytm's stock. The government panel had earlier held back approval due to concerns about the 9.88% stake in Paytm held by China's Ant Group. India has intensified scrutiny of Chinese businesses since a 2020 border clash between the two countries. All in all, Paytm has been waiting for the nod from the government panel for about two years and without it, it would have had to also wind down its payment services business, which was forbidden from taking on new customers in March 2023. Once the approval has been formalised, it will be able to seek a so-called "payment aggregator" licence from the Reserve Bank of India. The sources, two of whom are government sources, declined to be identified as the decision has not been formally announced. India's foreign, home, finance and industries ministries, whose representatives sit on the panel, did not reply to emails seeking comment. A Paytm spokesperson said the company does not comment on market speculation. "We will continue to make disclosures in compliance with our obligations under the SEBI Regulations, and will inform the exchanges when there is any new material information to share," the spokesperson said.
Enhance Your Photos With NASA's Sharpening Technique
Incredible space photos like those from NASA don't look as stunning straight out of the telescope. They need significant processing, and a crucial part of that is sharpening. Coming to you from Unmesh Dinda with PiXimperfect, this fascinating video explores the APF-R plugin, developed by award-winning astrophotographer Christoph Kaltseis. APF-R stands for Absolute Point of Focus, and it's designed to enhance photo details without creating halos or artifacts. This technology has been used by space agencies with telescopes like the James Webb, and now, you can use it in Photoshop. The plugin allows for non-destructive editing, meaning you can adjust the radius and detail level without permanently altering your image. This feature is crucial for astrophotography, where preserving original details is vital. The video shows how APF-R compares to Photoshop's built-in sharpening tools. The plugin offers multiple rendering methods, each suited for different types of images. For instance, the "Center Weighted" method provides a balanced sharpening effect without making the image look overprocessed. Dinda explains how to fine-tune these settings to achieve the best results, making it clear why this plugin is a game-changer for photographers looking to enhance their images with precision. One notable feature of APF-R is its ability to work with different image types. The video demonstrates how the plugin enhances not just space photos but also landscapes and portraits. For portraits, APF-R can bring out skin textures and eye details without creating the unwanted halos that traditional sharpening methods often produce. Dinda also shows how to combine APF-R with other Photoshop tools, like Smart Sharpen, for even better results. This versatility makes APF-R a valuable addition to any photographer's toolkit. The plugin's cost is $50, which Dinda considers a bargain given its advanced capabilities. There's also a Creative Bundle subscription that includes APF-R and 20 other tools, offering great value for those looking to expand their editing options. Dinda provides discount codes in the video description, making this sophisticated tool more accessible. Check out the video above for the full rundown from Dinda.
South Korean government decides not to punish interns who resign
South Korea's Minister of Health and Welfare Cho Kyu-hong said at a press conference on the 8th local time that after comprehensively considering the suggestions of frontline interns and the situation on the front line of medical care, the government decided that from that day on, all interns and residents who resigned would not be given administrative sanctions such as revoking their medical licenses. Cho Kyu-hong also said that for interns and residents who have returned to work and those who have resigned and are preparing to re-register for internship courses in September, the government will make special cases to try to minimize the internship gap and not affect the relevant doctors from obtaining specialist medical licenses. Cho Kyu-hong said that the government believes that in order to minimize the diagnosis and treatment gaps for critically ill and emergency patients and ensure the smooth training process of interns and residents, it is in the public interest, so it has made a decision not to punish interns and residents who resigned. It is hoped that major hospitals will complete the resignation processing of doctors who have not returned to work before July 15 and determine the scale of vacancies. Previously, large general hospitals in South Korea, such as Seoul National University Hospital, Yonsei University Severance Hospital, and Seoul Asan Medical Center, suspended or limited their medical services in an effort to cancel all penalties against interns and residents.