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Last year, Taiwan Semiconductor Manufacturing Company reported its first profit decline in four years. The company said engineering wafer production began at the factory in April, an important step toward the eventual chip production. Last July, TSMC announced that chip production for the first factory would be postponed from 2024 to 2025. Barring further setbacks, TSMC's update could mean the first factory will begin production of chips in 2025. This funding could be particularly important for TSMC, given the cost of factory construction and chip manufacturing can differ between the US and Taiwan.
Persons: , TSMC, Biden, Joe Biden, — TSMC, Dylan Patel, SemiAnalysis, that's, Morris Chang, C.C, Wei Organizations: Service, Taiwan Semiconductor Manufacturing Company, Business, Biden, Financial Times Locations: Taiwan, Arizona, Phoenix, Japan, Germany
The demand for Nvidia's AI chips could bolster job growth across the semiconductor industry. It could also help bring more semiconductor chip manufacturing stateside and reduce the US's reliance on Taiwan — which remains vulnerable to Chinese invasion that would wreak havoc on the global economy. AdvertisementEven without the AI boom, the semiconductor industry was already poised for big job gains in the near future. Of the 115,000 US new semiconductor jobs the Semiconductor Industry Association is projecting by 2030, it said roughly 67,000 of these positions risk going unfilled given current college degree completion rates. In an effort to prevent a worker shortage, community colleges and universities across the country have partnered with semiconductor companies.
Persons: , Pat Gelsinger, It's, who've, TSMC, Syed Alam, Ed Kaste, GlobalFoundries, Mark Muro, Muro, Jensen Huang, hasn't, Dylan Patel, SemiAnalysis, Patel, Accenture's Alam, Alam Organizations: Nvidia, TSMC, Service, Deloitte, Semiconductor Industry Association, Accenture, Meta, Intel, AMD, Brookings Institution, Samsung, Google, IBM, Lam Research, Materials, KLA Corporation Locations: Taiwan, Arizona
The dominant global designer and supplier of AI chips aims to capture a portion of an exploding market for custom AI chips and to protect itself from the growing number of companies interested in finding alternatives to its products. Nvidia officials have met with representatives from Amazon.com , Meta, Microsoft, Google and OpenAI to discuss making custom chips for them, according to two sources familiar with the meetings. $30 billion marketAccording to estimates from research firm 650 Group's Alan Weckel, the data center custom chip market will grow to as much as $10 billion this year, and double that in 2025. The broader custom chip market was worth roughly $30 billion in 2023, which amounts to roughly 5% of annual global chip sales, according to Needham analyst Charles Shi. "With Broadcom's custom silicon business touching $10 billion, and Marvell's around $2 billion, this is a real threat," said Dylan Patel, founder of the silicon research group SemiAnalysis.
Persons: OpenAI, Greg Reichow, Meta, Dina McKinney, Alan Weckel, Charles Shi, Dylan Patel Organizations: Nvidia, Microsoft, Broadcom, Marvell Technology, Eclipse Ventures, Amazon.com, Meta, Google, Reuters, Devices, Marvell, Taiwan Semiconductor Manufacturing Locations: Krakow, Poland, Santa Clara , California
Nvidia is in talks with tech giants like OpenAI and Google to build custom AI chips. It's held talks with leaders from Meta, Microsoft, Google, and OpenAI to build custom chips for data centers, two sources told Reuters. AdvertisementAny move by Nvidia into the custom chip market bodes ill for other manufacturers. Nvidia isn't just trying to work with major tech companies. The company is also turning to its own AI to produce its own AI chips faster.
Persons: , It's, Nvidia's, OpenAI, Greg Reichow, Dylan Patel, Nvidia isn't, Sam Altman, Jensen Huang, Aaron Mok Organizations: Nvidia, Google, Broadcom, Reuters, Service, Meta, Microsoft, Business, Marvell Technology, Eclipse Ventures, OpenAI, United Arab Emirates
The California-based AI chip giant had been expected to launch the new products as early as Nov. 16, chip industry newsletter SemiAnalysis reported this month. However, the H20 launch has now been pushed back until the first quarter of next year, the sources said, with one saying they were advised it could take place in February or March. In addition to the H20, Nvidia has been planning two other chips to comply with new U.S. export rules - the L20 and L2. The sources said the L20 was not facing delays and would launch according to its original schedule. Chinese internet giant Baidu (9888.HK) placed a sizeable order for Huawei AI chips this year, Reuters reported this month citing sources.
Persons: Dado Ruvic, Baidu, Fanny Potkin, Yelin, Brenda Goh, Jamie Freed Organizations: NVIDIA, REUTERS, Rights, Nvidia, Huawei, U.S, Baidu, HK, Reuters, Thomson Locations: Rights SINGAPORE, BEIJING, China, The California, U.S, Singapore, Yelin Mo, Beijing, Shanghai
Microsoft emerges as big winner from OpenAI turmoil
  + stars: | 2023-11-20 | by ( Aditya Soni | ) www.reuters.com   time to read: +3 min
[1/2] Microsoft Chief Executive Officer (CEO) Satya Narayana Nadella speaks at a live Microsoft event in the Manhattan borough of New York City, October 26, 2016. The turmoil at OpenAI since Friday had raised fears about the fallout for Microsoft, which has pumped in billions of dollars and uses the pioneer's technology for most of its AI offerings. That was nearly equal to the valuation OpenAI commanded in its last fundraise. We view Microsoft now even in a stronger position with Altman and Brockman at Microsoft running AI. "The OpenAI for-profit subsidiary was about to conduct a secondary at a $80 billion+ valuation.
Persons: Satya Narayana Nadella, Lucas Jackson, Sam Altman, Altman, Dan Ives, Brockman, OpenAI, Greg Brockman, Szymon Sidor, SemiAnalysis, Mira Murati, Aditya Soni, Akash Sriram, Sriraj Organizations: Microsoft, REUTERS, Google, Wedbush Securities, Thomson Locations: Manhattan, New York City, OpenAI, Bengaluru
That was nearly equal to the valuation OpenAI commanded in its last fundraise. "If Microsoft lost Altman, he could have gone to Amazon, Google, Apple, or a host of other tech companies," said Wedbush Securities analyst Dan Ives. We view Microsoft now even in a stronger position with Altman and Brockman at Microsoft running AI. Altman will lead a new research team at the software giant following his surprise ouster by OpenAI that shocked the tech industry. "The OpenAI for-profit subsidiary was about to conduct a secondary at a $80 billion+ valuation.
Persons: Satya Narayana Nadella, Lucas Jackson, Sam Altman, Altman, Dan Ives, Brockman, OpenAI, Greg Brockman, Szymon Sidor, SemiAnalysis, Mira Murati, Aditya Soni, Akash Sriram, Sriraj Organizations: Microsoft, REUTERS, Google, Wedbush Securities, Thomson Locations: Manhattan, New York City, OpenAI, Bengaluru
Tencent has enough Nvidia chips to continue development of its "Hunyuan" AI model "for at least a couple more generations", so the curbs will not affect near-term AI capability, Lau said. "We will have to figure out ways to make the usage of our AI chips more efficient," he said. "And we will also try to look for domestic sources for these training chips." "We feel that the chip ban does actually affect our ability to resell (use of) these AI chips through our cloud services," he said. Nvidia plans to market new China-bound AI chips, with an announcement on Nov. 16 at the earliest, industry newsletter SemiAnalysis reported last week.
Persons: Aly, Martin Lau, Lau, We'll, SemiAnalysis, Josh Ye, Jane Merriman, Christopher Cushing Organizations: Artificial Intelligence, REUTERS, Tencent Holdings, HK, Nvidia, Huawei Technologies, Reuters, Baidu, Huawei, Thomson Locations: Shanghai, China, HONG KONG, U.S
A smartphone with a displayed NVIDIA logo is placed on a computer motherboard in this illustration taken March 6, 2023. The chip industry newsletter SemiAnalysisas reported earlier that Nvidia plans to release new artificial intelligence chips aimed at the Chinese market less than a month after the U.S. tightened rules on selling high-end AI chips to China. The new rules put a cap on how much computing power a chip can pack into a small size. SemiAnalysis said the new Nvidia chips are called the HGX H20, L20 PCIe and L2 PCIe and the company could announce them on Nov. 16. "It is not difficult to imagine that as long as Washington remains committed to 'choking' China, the game of 'catch me if you can' will continue indefinitely," the newspaper said.
Persons: Dado Ruvic, SemiAnalysis, Robert Birsel Organizations: NVIDIA, REUTERS, Rights, Nvidia, Global Times, U.S, Shanghai, Thomson, Reuters Locations: China, U.S, Washington
Tyrone Siu | ReutersBEIJING — U.S. chipmaking giant Nvidia has reportedly found a way to sell high-end chips to Chinese companies — while remaining compliant with U.S. rules aimed at curbing China's access to the tech. Nvidia is set to deliver three new chips to domestic manufacturers in the coming days, Chinese financial media Cailian Press said Thursday, citing sources. The chips — called HGX H20, L20 PCle and L2 PCle — are based on Nvidia's H100 chip, the report said. Nvidia said in a September 2022 filing the U.S. government would still allow it to develop the H100 in China. In the near term, Chinese manufacturers have no better option and they will continue to buy Nvidia's chips, while searching for replacements.
Persons: Tyrone Siu, Bo Du, Du, SemiAnalysis, Nomura, Orin Organizations: Nvidia Corporation, Reuters, Reuters BEIJING —, Nvidia, Cailian Press, WestSummit Capital Management Companies, WestSummit Capital Management, CNBC, Times, U.S . Department of Commerce, Bureau of Industry, Security Locations: Taipei, Taiwan, Reuters BEIJING, China, U.S
The new restrictions will also affect rival chips produced by Advanced Micro Devices (AMD.O) and Intel (INTC.O), according to analysts. In its filing, Nvidia said two of its modified advanced AI chips - the A800 and H800 - both of which it created for the Chinese market to comply with previous export rules, would be blocked for sale under the new rules. Nvidia declined to comment beyond the filing. Chips being built by Intel and Advanced Micro Devices that aim to compete with Nvidia will also be impacted. Intel declined to comment on the Gaudi 2 chip and said it was assessing the new rules.
Persons: Dado Ruvic, Dylan Patel, Intel's Gaudi, Bernstein, Stacy Rasgon, Patel, Biden, chipmaker, Yuvraj Malik, Max A, Sriraj Kalluvila, Leslie Adler Organizations: NVIDIA, REUTERS, Nvidia, Beijing, Micro Devices, Intel, Gaudi, AMD, Thomson Locations: China, Bengaluru, Max, San Francisco
Analyst firm CCS Insight is predicting a "cold shower" for generative AI in 2024. The firm's chief analyst told CNBC he believes the technology is overhyped and faces immense costs to deploy. AdvertisementAdvertisementAn analyst firm is predicting a "cold shower" for generative AI in 2024. "Just the cost of deploying and sustaining generative AI is immense," said Wood. AdvertisementAdvertisementFor context, AI relies on chips to run, and the firm's prediction comes amid concerns about a global chip shortage.
Persons: , Ben Wood, Wood, Elon Musk, Dylan Patel Organizations: Insight, CNBC, Service, CCS, CCS Insight, Google, Elon, Nvidia, Reuters Locations: London
Google is preparing to launch its answer to rival OpenAI's GPT-4: Gemini. Gemini is a next-gen, multimodal AI model due for release later this year. The tech is a next-gen, multimodal AI model being worked on by a team of researchers pulled from Google's now-merged AI divisions DeepMind and Google Brain. Gemini is multimodalGoogle's Gemini is a multimodal AI, meaning it can process more than one type of data. Researchers behind the SemiAnalysis blog have also predicted that Google's Gemini would likely outperform GPT-4 because of Google's access to top-flight chips.
Persons: OpenAI's GPT, OpenAI's, Sam Altman, AlphaGo Gemini, Google's DeepMind, AlphaGo, Lee Sedol, ChatGPT, Demis Hassabis, DeepMind, Bard Organizations: Google, Service, OpenAI, AlphaGo, Wired Locations: Wall, Silicon, Google's
[1/2] A smartphone with a displayed Arm Ltd logo is placed on a computer motherboard in this illustration taken March 6, 2023. The tech investment behemoth raised nearly $5 billion from Arm's offering while retaining 90.6% of the firm. Known for debt-fuelled acquisition sprees, SoftBank founder and CEO Masayoshi Son flagged in June that the company was shifting back into "offence mode" as he highlighted the potential of artificial intelligence. That's after a year of "defence mode" when tech valuations crashed amid higher interest rates and global banking jitters. Few companies in SoftBank's investment portfolio have demonstrated commercial utility in AI, analysts said.
Persons: Dado Ruvic, behemoth, Masayoshi, Yoshimitsu Goto, SoftBank, SemiAnalysis, Kyle Stanford, There's, Amir Anvarzadeh, PitchBook's Stanford, Anton Bridge, Miyoung Kim, Edwina Gibbs Organizations: REUTERS, Rights, Arm Holdings, SoftBank, HK, Vision, Nvidia, Asymmetric Advisors, Thomson Locations: British
[1/2] A smartphone with a displayed Arm Ltd logo is placed on a computer motherboard in this illustration taken March 6, 2023. The tech investment behemoth raised nearly $5 billion from Arm's offering while retaining 90.6% of the firm. Known for debt-fuelled acquisition sprees, SoftBank founder and CEO Masayoshi Son flagged in June that the company was shifting back into "offence mode" as he highlighted the potential of artificial intelligence. That's after a year of "defence mode" when tech valuations crashed amid higher interest rates and global banking jitters. Few companies in SoftBank's investment portfolio have demonstrated commercial utility in AI, analysts said.
Persons: Dado Ruvic, behemoth, Masayoshi, Yoshimitsu Goto, SoftBank, SemiAnalysis, Kyle Stanford, There's, Amir Anvarzadeh, PitchBook's Stanford, Anton Bridge, Miyoung Kim, Edwina Gibbs Organizations: REUTERS, Rights, Arm Holdings, SoftBank, HK, Vision, Nvidia, Asymmetric Advisors, Thomson Locations: British
The researchers behind the SemiAnalysis blog say Google's upcoming AI Gemini smashes GPT-4. That might explain OpenAI boss Sam Altman's defensive response to a post published over the weekend titled : "Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors." Gemini is a next-gen, multimodal AI model being worked on by researchers at Google's AI arm DeepMind, and is expected to be released later in 2023. In response, SemiAnalysis' Patel posted on X that he got data on Google's GPU stores from a supplier of Google — rather than Google itself. But to say Gemini Smashes GPT-4 by 5x makes it sound like it is 5x better than GPT-4, it's not, its 5x compute.
Persons: Sam Altman, Sam Altman's, Dylan Patel, Daniel Nishball, Google's, Patel, OpenAI's, Altman, SemiAnalysis, Sundar Pichai, Sundar, G86ZRjnNmS, dtS0Bw3I92 — Dylan Patel, dethrones OAI, it's, ChatGPT Organizations: Google, Hacker
SemiAnalysis, a respected research firm, just divided the tech world into 2 groups. You now actually have to have the tech components, other infrastructure, and a smart plan to deploy this incredibly expensive gear. The GPU-PoorPatel and Nishball divide the tech industry into 2 main groups: The "GPU-poor" and the "GPU-rich." Then there are well-known AI firms, such as Hugging Face, Databricks, and Together, that are also GPU-poor. The internet giant is "the Most Compute Rich Firm In The World," with "unbeatably efficient architecture," Patel and Nishall wrote.
Persons: you've, Dylan Patel, Daniel Nishball, Patel, Jules Verne, Rich Patel, Nishball, Elon Musk's, Nishall Organizations: Morning, Nvidia, Google, Meta Locations: Saudi Arabia, UAE
The logo of Nvidia Corporation is seen during the annual Computex computer exhibition in Taipei, Taiwan May 30, 2017. Nvidia's stock price, though, has more than tripled this year and was set to hit an all-time high after Wednesday's results. The company has a near-monopoly on the computing systems used to power services like ChatGPT, OpenAI's blockbuster generative AI chatbot. Huang declined to comment on whether the AI boom will last past next year. The company said the biggest sales driver this quarter was its HGX system, which is an entire computer built around Nvidia's chip.
Persons: Tyrone Siu, Huang, Jensen Huang, quashing, Kinngai Chan, Chan, Dylan Patel, SemiAnalysis, Patel, We're, Stephen Nellis, Max Cherney, Chavi Mehta, Sonali Paul Organizations: Nvidia Corporation, REUTERS, Nvidia, Reuters, Microsoft, Summit, Thomson Locations: Taipei, Taiwan, OpenAI, San Francisco
Arm is hoping for a valuation of up to $70 billion in the IPO, which will launch on the Nasdaq next month. Arm and its owner SoftBank Group have set aside 10% of the shares to be sold in the IPO for its clients, the sources said. Its close relationship with Arm has helped it design chips that curbed its reliance on Intel as a supplier. Many technology companies that seek to make their own chips using Arm’s designs turn to TSMC for its low-cost manufacturing. None of these companies’ investments in Arm’s IPO are certain.
Persons: Dado Ruvic, , Jack Gold, SoftBank, Apple spokespeople, Jay Lee, Masayoshi Son, Son, TSMC, Dylan Patel Organizations: FRANCISCO, Reuters, Arm Holdings, REUTERS, Apple, Intel, Nvidia, Microsoft, Samsung Electronics, Nasdaq, Gold Associates, SoftBank, Devices Inc, APPLE, SAMSUNG, Samsung, MICROSOFT, Devices, Vision Fund Locations: Switzerland, Japan
Arm is hoping for a valuation of up to $70 billion in the IPO, which will launch on the Nasdaq next month. Arm and its owner SoftBank Group (9984.T) have set aside 10% of the shares to be sold in the IPO for its clients, the sources said. Its close relationship with Arm has helped it design chips that curbed its reliance on Intel as a supplier. Many technology companies that seek to make their own chips using Arm's designs turn to TSMC for its low-cost manufacturing. None of these companies' investments in Arm's IPO are certain.
Persons: Dado Ruvic, Jack Gold, SoftBank, Apple spokespeople, Jay Lee, Masayoshi Son, Son, TSMC, Dylan Patel, Milana Vinn, Stephen Nellis, Max Cherney, Greg Roumeliotis, Matthew Lewis Organizations: REUTERS, FRANCISCO, Arm Holdings, Apple, Intel, Nvidia, Microsoft, Samsung Electronics, Reuters, Nasdaq, Gold Associates, SoftBank, Devices Inc, APPLE, SAMSUNG, Samsung, MICROSOFT, Devices, Vision Fund, Thomson Locations: Switzerland, Japan, New York, San Francisco
So, that's the end of OpenAI's ChatGPT moat
  + stars: | 2023-07-20 | by ( Hasan Chowdhury | ) www.businessinsider.com   time to read: +6 min
In the fast-changing world of AI, OpenAI appeared to have created a powerful moat through ChatGPT. But Meta rolling out its own powerful language model, Llama 2, with few restrictions puts ChatGPT at risk. And unlike OpenAI's ChatGPT, Llama 2 doesn't come with an easy-to-use consumer interface. As the first popular entrant into the generative AI space, OpenAI's chatbot had the advantage of capturing the imaginations of millions before Google, Meta and the rest. But open models were always the threat.
Persons: OpenAI, chatbot, Mark Zuckerberg, Erin Scott, Warren Buffett, ChatGPT, Kali Hays, Rosalie Chan, Nathan Lambert, Lambert, It's Organizations: Meta, Google, Microsoft, ChatGPT, Stanford University, UC Berkeley
Lately, the giant AI model has become faster, but performance has declined. The world's most-powerful AI model has become, well, less powerful. It's considered the most-powerful AI model available broadly and is multimodal, which means it can understand images as well as text inputs. They think OpenAI is creating several smaller GPT-4 models that act similarly to the large model but are less expensive to run. This week, several AI experts posted what they claimed were details of GPT-4's architecture on Twitter.
Persons: OpenAI's, Peter Yang, I've, Frazier MacLeod, Christi Kennedy, OpenAI, ChatGPT, It's, Sharon Zhou, Theseus, Zhou, Yam, Semianalysis, George Hotz, Soumith Chintala, Oren Etzioni, Greg Brockman, " Brockman, Lilian Weng Organizations: Morning, Twitter, Roblox, Microsoft, Meta, Allen Institute, AI Locations: GPT
Jung Yeon-je | Afp | Getty ImagesSouth Korea's dominance in the memory chip market and a robust artificial intelligence ecosystem gives it an advantage in the global AI chip race, said industry observers. South Korea dominating in the memory market is definitely an advantage," said James Lim, senior research analyst at Dalton Investments. "South Korea seeks to emerge as a prominent player in rapidly growing and promising areas such as AI semiconductors," said Lee. "South Korea has a robust local AI ecosystem, capable of competing with global tech giants," said Sung Nako, executive for large scale AI development at South Korean internet giant Naver. ChatGPT maker OpenAI's CEO Sam Altman had urged South Korea to lead AI chip production during his meeting with South Korean President Yoon Suk-yeol in June.
Persons: Jung Yeon, James Lim, Lee, Dylan Patel, SemiAnalysis, ., TrendForce, Sung Nako, Sam Altman, Yoon Suk, Altman, Dalton's Lim, Geoffrey Cain Organizations: Getty, Dalton Investments, CNBC, Samsung, SK Hynix South, Samsung Electronics, SK Hynix, Science, Micron, South, South Korean, Nvidia, Intel Locations: Seoul, Korea, South Korea, China, U.S
Ted Cannis, a senior executive at Ford, told the Financial Times in December that there is a "large-scale rethinking of logistics operations" across the auto supply chain. "The supply chain is going to be the focus of this decade," Cannis said. Among the companies Apple is relying on to make the Vision Pro is Taiwan's Foxconn — which is the main supplier shifting its supply chain away from China. The move was made after China's COVID-19 lockdowns rocked supply chain and production timelines, but prices are the real driving reason behind the move. "Right now, robustness of our supply chain also needs to be considered to ensure the stable procurement of parts."
Persons: , Donald Trump, lockdowns, COVID, Ashutosh Sharma, Forrester, Ted Cannis, Cannis, China's, Wellsenn, Cowell, Liu Young, TSMC, Morris Chang, Chips, Dylan Patel, SemiAnalysis, Tim Cook, Fang DongxuFeature, Mazda, China's COVID, Masahiro Moro, ", Moro Organizations: Mazda, Service, Privacy, East, Ford, Financial Times, Apple, Vision, Apple's, Cowell e Holdings, Future Publishing, Reuters Locations: China, India, Zhengzhou, Henan, Vietnam, Mexico, Taiwan, Arizona, Nanjing, Fang DongxuFeature China, Japan Japanese, Japan
Google and OpenAI are not positioned to win the AI arms race, a Google engineer said in a leaked doc. A document written by a senior Google engineer suggests the open-source community is rivaling them. Google and OpenAI are not positioned to win a hotly contested AI arms race as the open-source community is "lapping" them, a senior engineer at the search giant has said. Sernau said open-source engineers were doing things with $100 that "we struggle with" at $10 million, "doing so in weeks, not months." He cited challenges around running AI models on a phone as one such major issue, which he said open-source engineers have managed to do on a Google Pixel 6.
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