According to sources cited by the Financial Times, South Korean chip manufacturer SK Hynix is reportedly planning to establish a packaging facility in Indiana, USA. This move is expected to significantly advance the US government’s efforts to bring more artificial intelligence (AI) chip supply chains into the country.

SK Hynix’s new packaging facility will specialize in stacking standard dynamic random-access memory (DRAM) chips to create high-bandwidth memory (HBM) chips. These chips will then be integrated with NVIDIA’s GPUs for training systems like OpenAI’s ChatGPT.

Per one source close to SK Hynix cited by the report, the increasing demand for HBM from American customers and the necessity of close collaboration with chip designers have deemed the establishment of advanced packaging facilities in the US essential.

Regarding this, SK Hynix reportedly responded, “Our official position is that we are currently considering a possible investment in the US but haven’t made a final decision yet.”

The report quoted Kim Yang-paeng, a researcher at the Korea Institute for Industrial Economics and Trade, as saying, “If SK Hynix establishes an advanced HBM memory packaging facility in the United States, along with TSMC’s factory in Arizona, this means Nvidia can ultimately produce GPUs in the United States.”

Previously, the United States was reported to announce substantial chip subsidies by the end of March. The aim is to pave the way for chip manufacturers like TSMC, Samsung, and Intel by providing them with billions of dollars to accelerate the expansion of domestic chip production.

These subsidies are a core component of the US 2022 “CHIPS and Science Act,” which allocates a budget of USD 39 billion to directly subsidize and revitalize American manufacturing.

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(Photo credit: SK Hynix)

U.S. Commerce Secretary Gina Raimondo stated on January 26th that the U.S. government will propose that American cloud computing companies determine whether foreign entities are accessing U.S. data centers to train artificial intelligence models.

The proposed “know your customer” regulation was made available for public inspection on January 26th and is scheduled for publication on January 29th.

According to a report from Reuters, Raimondo stated during her interview that, “We can’t have non-state actors or China or folks who we don’t want accessing our cloud to train their models.”

“We use export controls on chips,” she noted. “Those chips are in American cloud data centers so we also have to think about closing down that avenue for potential malicious activity.”

Raimondo further claimed that, the United States is “trying as hard as we can to deny China the compute power that they want to train their own (AI) models, but what good is that if they go around that to use our cloud to train their models?”

Since the U.S. government introduced chip export controls to China last year, NVIDIA initially designed downgraded AI chips A800 and H800 for Chinese companies. However, new regulations in October of 2023 by the U.S. Department of Commerce brought A800, H800, L40S, and other chips under control.

Raimondo stated that the Commerce Department would not permit NVIDIA to export its most advanced and powerful AI chips, which could facilitate China in developing cutting-edge models.

In addition to the limitations on NVIDIA’s AI chips, the U.S. government has also imposed further restrictions on specific equipment. For example, ASML, a leading provider of semiconductor advanced lithography equipment, announced on January 1st, 2024, that it was partially revoking export licenses for its DUV equipment in relation to the U.S. government.

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(Photo credit: iStock)

In the dynamic wave of generative AI, AI PCs emerge as a focal point in the industry’s development. Technological upgrades across the industry chain and the distinctive features of on-device AI, such as security, low latency, and high reliability, drive their rapid evolution. AI PCs are poised to become a mainstream category within the PC market, converging with the PC replacement trend, reported by Jiwei.

On-Device AI, driven by technologies like lightweighting language large models (LLMs), signifies the next stage in AI development. PC makers aim to propel innovative upgrades in AI PC products by seamlessly integrating resources both upstream and downstream. The pivotal upgrade lies in the chip, with challenges in hardware-software coordination, data storage, and application development being inevitable. Nevertheless, AI PCs are on track to evolve at an unprecedented pace, transforming into a “hybrid” encompassing terminals, edge computing, and cloud technology.

Is AI PC Industry Savior?

In the face of consecutive quarters of global PC shipment decline, signs of a gradual easing in the downward trend are emerging. The industry cautiously anticipates a potential recovery, considering challenges such as structural demand cooling and supply imbalances.

Traditionally viewed as a mature industry grappling with long-term growth challenges, the PC industry is witnessing a shift due to the evolution of generative AI technology and the extension of the cloud to the edge. This combination of AI technology with terminal devices like PCs is seen as a trendsetter, with the ascent of AI PCs considered an “industry savior” that could open new avenues for growth in the PC market.

Yuanqing Yang, Chairman and CEO of Lenovo, elaborates on the stimulation of iterative computation and upgrades in AI-enabled terminals by AIGC. Recognizing the desire to enjoy the benefits of AIGC while safeguarding privacy, personal devices or home servers are deemed the safest. Lenovo is poised to invest approximately 7 billion RMB in the AI field over the next three years.

Analysis from Orient Securities, also known as DFZQ, reveals that the surge in consumer demand from the second half of 2020 to 2021 is expected to trigger a substantial PC replacement cycle from the second half of 2024 to 2025, initiating a new wave of PC upgrades.

Undoubtedly, AI PCs are set to usher in a transformative wave and accelerate development against the backdrop of the PC replacement trend. Guotai Junan Securities said that AI PCs feature processors with enhanced computing capabilities and incorporating multi-modal algorithms. This integration is anticipated to fundamentally reshape the PC experience, positioning AI PCs as a hybrid terminals, edge computing, and cloud technology to meet the new demands of generative AI workloads.

PC Ecosystem Players Strategically Positioning for Dominance

The AI PC field is experiencing vibrant development, with major PC ecosystem companies actively entering the scene. Companies such as Lenovo, Intel, Qualcomm, and Microsoft have introduced corresponding innovative initiatives. Lenovo showcased the industry’s first AI PC at the 2023 TechConnect World Innovation, Intel launched the AI PC Acceleration Program at its Innovation 2023, and Qualcomm introduced the Snapdragon X Elite processor specifically designed for AI at the Snapdragon Summit. Meanwhile, Microsoft is accelerating the optimization of office software, integrating Bing and ChatGPT into the Windows.

While current promotions of AI PC products may exceed actual user experiences, terminals displayed by Lenovo, Intel’s AI PC acceleration program, and the collaboration ecosystem deeply integrated with numerous independent software vendors (ISVs) indicate that the upgrade of on-device AI offers incomparable advantages compared to the cloud. This includes integrating the work habits of individual users, providing a personalized and differentiated user experience.

Ablikim Ablimiti, Vice President of Lenovo, highlighted five core features of AI PCs: possessing personal large models, natural language interaction, intelligent hybrid computing, open ecosystems, and ensuring real privacy and security. He stated that the encounter of AI large models with PCs is naturally harmonious, and terminal makers are leading this innovation by integrating upstream and downstream resources to provide a complete intelligent service for AI PCs.

In terms of chips, Intel Core Ultra is considered a significant processor architecture change in 40 years. It adopts the advanced Meteor Lake architecture, fully integrating chipset functions into the processor, incorporating NPU into the PC processor for the first time, and also integrating the dazzling series core graphics card. This signifies a significant milestone in the practical commercial application of AI PCs.

TrendForce: AI PC Demand to Expand from High-End Enterprises           

TrendForce believes that due to the high costs of upgrading both software and hardware associated with AI PCs, early development will be focused on high-end business users and content creators. This group has a strong demand for leveraging AI processing capabilities to improve productivity efficiency and can also benefit immediately from related applications, making them the primary users of the first generation. The emergence of AI PCs is not expected to necessarily stimulate additional PC purchase demand. Instead, most upgrades to AI PC devices will occur naturally as part of the business equipment replacement cycle projected for 2024.

(Image: Qualcomm)

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According to IThome’ report, Alibaba Group CEO Eddie Wu, speaking at the 2023 World Internet Conference Wuzhen Summit today, announced that Alibaba is gearing up to open-source a massive model with 72 billion parameters. This model is set to become the largest-scale open-source model in China.

Wu expressed that with AI becoming a crucial breakthrough in China’s digital economy innovation, Alibaba aims to evolve into an open technology platform. The goal is to provide foundational infrastructure for AI innovation and transformation across various industries.

It’s reported that Alibaba has, up to this point, open-sourced Tongyi Qianwen’s Qwen-14B model with 14 billion parameters and the Qwen-7B model with 7 billion parameters.

According to guandian’s report, Eddie Wu mentioned at the 2023 World Internet Conference Wuzhen Summit that AI technology will fundamentally transform the ways knowledge iteration and social collaboration occur, creating a profound impact on productivity, production relationships, the digital world, and the physical world.

He emphasized that society is currently at a turning point from traditional computing to AI computing, with AI eventually taking over all computing resources. The dual drive of AI and cloud computing is the underlying capability that Alibaba Cloud relies on to provide services for the future AI infrastructure.

In addition, on October 31st, Alibaba Cloud announced the release of the large-scale model Tongyi Qianwen 2.0 at the Apsara Conference. On the same day, the Tongyi Qianwen app was officially launched on major mobile application markets. Compared to the 1.0 version released in April, Tongyi Qianwen 2.0 has shown improvements in capabilities such as complex instruction understanding, literary creation, general mathematics, knowledge retention, and illusion resistance.

(Photo credit: Alibaba)

According to Bloomberg, Apple is quietly catching up with its competitors in the AI field. Observing Apple’s layout for the AI field, in addition to acquiring AI-related companies to gain relevant technology quickly, Apple is now developing its large language model (LLM).

TrendForce’s insights:

1. Apple’s Low-Profile Approach to AI: Seizing the Next Growth Opportunity

As the smartphone market matures, brands are not only focusing on hardware upgrades, particularly in camera modules, to stimulate device replacements, but they are also observing the emergence of numerous brands keen on introducing new AI functionalities in smartphones. This move is aimed at reigniting the growth potential of smartphones. Some Chinese brands have achieved notable progress in the AI field, especially in large language models.

For instance, Xiaomi introduced its large language model MiLM-6B, ranking tenth in the C-Eval list (a comprehensive evaluation benchmark for Chinese language models developed in collaboration with Tsinghua University, Shanghai Jiao Tong University, and the University of Edinburgh) and topping the list in its category in terms of parameters. Meanwhile, Vivo has launched the large model VivoLM, with its VivoLM-7B model securing the second position on the C-Eval ranking.

As for Apple, while it may appear to be in a mostly observatory role as other Silicon Valley companies like OpenAI release ChatGPT, and Google and Microsoft introduce AI versions of search engines, the reality is that since 2018, Apple has quietly acquired over 20 companies related to AI technology from the market. Apple’s approach is characterized by its extreme discretion, with only a few of these transactions publicly disclosing their final acquisition prices.

On another front, Apple has been discreetly developing its own large language model called Ajax. It commits daily expenditures of millions of dollars for training this model with the aim of making its performance even more robust compared to OpenAI’s ChatGPT 3.5 and Meta’s LLaMA.

2. Apple’s Advantage in Developing a Paid Subscription Model for Large Language Models Compared to Other Brands

Analyzing the current most common usage scenarios for smartphones among general consumers, these typically revolve around activities like taking photos, communication, and information retrieval. While there is potential to enhance user experiences with AI in some functionalities, these usage scenarios currently do not fall under the category of “essential AI features.”

However, if a killer application involving large language models were to emerge on smartphones in the future, Apple is poised to have an exclusive advantage in establishing such a service as a subscription-based model. This advantage is due to recent shifts in Apple’s revenue composition, notably the increasing contribution of “Service” revenue.

In August 2023, Apple CEO Tim Cook highlighted in Apple’s third-quarter financial report that Apple’s subscription services, which include Apple Arcade, Apple Music, iCloud, AppleCare, and others, had achieved record-breaking revenue and amassed over 1 billion paying subscribers.

In other words, compared to other smartphone brands, Apple is better positioned to monetize a large language model service through subscription due to its already substantial base of paying subscription users. Other smartphone brands may find it challenging to gain consumer favor for a paid subscription service involving large language models, as they lack a similarly extensive base of subscription users.

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