According to a report from Reuters citing sources on August 7th, American chip giant Intel had an opportunity to invest in OpenAI several years ago but ultimately had the investment rejected by company executives, resulting in a missed opportunity.

Reportedly, Intel and OpenAI discussed collaboration several times between 2017 and 2018. At that time, OpenAI was still a nascent nonprofit research organization focused on developing relatively unknown generative AI technologies.

The discussions included Intel potentially purchasing a 15% stake in OpenAI for USD 1 billion in cash and possibly producing hardware for OpenAI at cost in exchange for an additional 15% stake.

Sources cited by the report further reveal that OpenAI was very interested in Intel’s investment, primarily because it would reduce the company’s reliance on NVIDIA chips and enable OpenAI to build its own infrastructure.

However, Intel ultimately rejected the deal. One reason cited by the report was that then-CEO Bob Swan did not believe generative AI could be commercialized in the short term and was concerned that Intel’s investment would not yield returns. Another reason was that Intel’s data center division was unwilling to produce hardware for OpenAI at cost.

After Intel’s refusal, Microsoft began investing in OpenAI in 2019. In 2022, OpenAI launched the chatbot ChatGPT, reportedly sparking a global AI boom and achieving a valuation of USD 80 billion. Per the data from CB Insights, it has made OpenAI the third most valuable tech startup worldwide, behind only ByteDance and SpaceX.

Neither Intel nor OpenAI has commented on these reports.

As per a previous report from The Atlantic, Intel had previously declined to produce processors for Apple’s iPhone, a misstep that caused Intel to miss the opportunity to transition into the mobile area.

The news from Reuters this time further suggests that Intel has made a similar mistake in the AI domain.

Read more

• [News] Intel’s 18A to Start Production in 2025, Featuring Processors for AI PCs and Servers
• [News] Intel’s Earnings Fall Short, Cutting Over 15% of Workforce

(Photo credit: Intel)

Apple’s latest technical document reveals that the two main AI models behind Apple Intelligence are trained using Google’s Tensor Processing Units (TPUs) instead of NVIDIA GPUs. According to a report from Commercial Times, this suggests that the demand for NVIDIA chips has outstripped supply, prompting some tech giants to seek alternatives.

Apple first introduced an AI technical document in June, briefly stating that its AI models were trained using TPUs. The latest technical document, which spans 47 pages, provides a detailed explanation of how Apple’s foundational models (AFM) and AFM servers are trained in Cloud TPU Clusters. This indicates that Apple rents cloud servers from cloud service providers to train its AI models.

In the document, Apple stated: “This system allows us to train the AFM models efficiently and scalably, including AFM-on-device, AFM-server, and larger models.”

Apple further mentioned that the on-device AFM models for iPhones and iPads are trained using a total of 2,048 TPUv5p chips, which are currently the most advanced TPU chips on the market. The AFM servers are trained using a total of 8,192 TPUv4 chips.

Google initially launched TPUs in 2015 for internal training use only and started offering TPU rental services to external clients in 2017. These TPUs are currently the most mature custom chips used for AI training. According to Google’s official website, the rental cost of their most advanced TPUs is approximately USD 2 per hour based on a three-year contract.

Though NVIDIA’s GPUs are currently dominating the high-end AI chip market, the enormous number of chips required for AI model training has led to a severe shortage. This is because major tech companies like OpenAI, Microsoft, Google, Meta, Oracle, and Tesla all use NVIDIA chips to develop their AI technologies.

Since the rise of ChatGPT at the end of 2022, which spurred the generative AI market, Silicon Valley tech giants have been racing to invest in AI research and development. In contrast, Apple has lagged behind its competitors and now has to intensify its efforts to bolster Apple Intelligence. On July 29th, Apple released a preview version of Apple Intelligence for certain devices.

Read more

• [News] NVIDIA’s H200 Order Delivered from Q3, Boosting Server Supply Chain with Strong Demand
• [News] US Government Reportedly Investigating Microsoft, NVIDIA, and OpenAI for AI Industry Monopolization

(Photo credit: NVIDIA)

China aims to establish at least 50 AI standards by 2026, as outlined in a new draft policy from Beijing, according to a report by South China Morning Post. The draft policy, released on Tuesday by the Ministry of Industry and Information Technology (MIIT), will not only cover training for large language models (LLMs), but even semiconductors.

This initiative is part of China’s effort to catch up with the U.S. in AI development, the report noted. Earlier in April, Alibaba’s chairman, Joe Tsai, mentioned in an interview that China is at least two years behind its leading US counterparts, like OpenAI and Google, in the global AI race.

China’s proposed standards will cover training for large language models (LLMs), which are the foundation of generative AI services like ChatGPT. Additionally, they will address safety, governance, industrial applications, software, computing systems, data centers, and the technical requirements and testing methodologies for semiconductors.

According to MIIT, these standards are expected to apply to at least 1,000 Chinese technology companies. The document also states that China will participate in creating at least 20 international AI standards, the report said.

MIIT’s draft policy identifies 12 critical technologies in the AI supply chain, including LLMs, natural language processing, computer vision, and machine learning, which involves systems performing complex tasks akin to human problem-solving. The draft policy also identifies four layers that comprise China’s AI industry chain: the foundation (including the computing power, algorithms, and data needed to train LLMs), the framework, the model, and applications.

Citing an industrial expert, the report indicated that the latest draft policy, unlike the usual command-and-control regulations, has adopted a pro-market, soft-law approach to guide and promote China’s AI industry. This stance, which is comparatively innovation-oriented and market-friendly, will not only enable the establishment and development of an AI ecosystem, but benefit other industries as well.

China’s tech giants, led by Huawei, has been aggressively advancing in the AI arena. Previously, Huawei claimed its second-generation AI chip “Ascend 910B” could compete with NVIDIA’s A100 and was working to replace NVIDIA, which holds over 90% of the market share in China. However, according to ChosunBiz, the chip, being manufactured by China’s leading semiconductor foundry, SMIC, has been in mass production for over half a year, yet the yield rate remains around 20%.

On the other hand, in response to US export bans, NVIDIA has commenced to sell H20, its AI chip tailored for the Chinese market earlier this year.

Read more

• [News] Huawei Faces Production Challenges with 20% Yield Rate for AI Chip
• [News] NVIDIA Reportedly Facing Price Cut Pressure of H20 Chip in China Amid Competition with Huawei

On July 1st, according to a report from Reuters, the French antitrust authority plans to file charges against NVIDIA, accusing the company of engaging in anti-competitive practices, making France the first country to take such action against NVIDIA.

The French competition regulator had raided NVIDIA’s local offices in September last year. At the time, they did not disclose the details of the investigation or the company involved, only stating it was related to the graphics card sector.

However, as per a previous report from Bloomberg, NVIDIA claimed that the French agency collected information from them regarding their business and competition in the graphics card and cloud service provider market as part of an ongoing inquiry into competition in those markets.

Sources cited by Reuters’ report indicated that last year’s raid was part of a broader investigation into cloud computing. With the surge in global chip demand following the advent of ChatGPT, NVIDIA, as the world’s largest manufacturer of AI and computer graphics cards, has naturally attracted close scrutiny from antitrust authorities in Europe and the United States.

NVIDIA previously disclosed in regulatory filings that both EU and French regulators had requested information about its graphics card products. The French antitrust authority has been actively investigating to understand NVIDIA’s key role in AI processors, its pricing policies, chip shortages, and the impact on prices.

Last Friday, the French authorities released a report on competition in generative AI, highlighting the risk of chip suppliers abusing their power. The report pointed out concerns about the chip industry’s heavy reliance on NVIDIA’s CUDA software for chip programming. Additionally, NVIDIA’s focus on investing in AI cloud service provider CoreWeave has also raised significant concerns among the authorities.

Reportedly, it is understood that companies violating French antitrust rules could face fines of up to 10% of their global annual revenue, though they can choose to make concessions to avoid penalties.

Moreover, the European Commission is currently gathering informal feedback to determine if NVIDIA has breached its antitrust rules, although it has not yet launched a formal investigation into anti-competitive behavior.

On the other hand, the New York Times reported on June 5th that the U.S. Department of Justice and the Federal Trade Commission (FTC) have reached an agreement, led by senior officials of both agencies, over the past week. The DOJ will investigate whether NVIDIA has violated antitrust laws, while the FTC will examine the conducts of OpenAI and Microsoft.

Read more

• [News] NVIDIA’s H200 Order Delivered from Q3, Boosting Server Supply Chain with Strong Demand
• [News] US Government Reportedly Investigating Microsoft, NVIDIA, and OpenAI for AI Industry Monopolization

(Photo credit: NVIDIA)

The New York Times reported on June 5th that the U.S. Department of Justice (DOJ) and the Federal Trade Commission (FTC) have reached an agreement, led by senior officials of both agencies, over the past week. The DOJ will investigate whether NVIDIA has violated antitrust laws, while the FTC will examine the conducts of OpenAI and Microsoft.

Reportedly, Jonathan Kanter, who is said to be the top antitrust official in the DOJ’s Antitrust Division, highlighted at an AI conference at Stanford University last week that AI’s reliance on massive amounts of data and computing power gives dominant companies a significant advantage. In a February interview, FTC Chair Lina Khan stated that the FTC aims to identify potential issues in the early stages of AI development.

As per Reuters’ report, Microsoft, OpenAI, NVIDIA, DOJ and FTC did not immediately respond to requests for comment outside regular business hours.

In a May interview with CNBC, Appian co-founder and CEO Matt Calkins stated that AI might not be a winner take all market. He suggested that if alliances could secure victory in the AI race, Google would already have won.

Per a report from Roll Call on May 15th, a bipartisan Senate AI working group led by Senate Majority Leader Chuck Schumer released an AI roadmap, calling for the federal government to invest at least USD 32 billion annually in non-defense-related AI systems.

In March, The Information reported that Microsoft does not want its hiring of Inflection AI’s two co-founders and the majority of its 70-member team to be perceived as an acquisition.

Read more

• [News] A Recap of NVIDIA’s Four Major Application Areas of New Technology from Jensen Huang
• [News] Micron Slightly Raises Capital Expenditure for 2024, HBM Expected to Further Drive Revenue Growth in 2025

(Photo credit: NVIDIA)