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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After obtaining approval from Chinese regulatory authorities at the end of November, Broadcom, a leading IC design company, has officially completed the acquisition of VMware, a prominent player in cloud computing. This strategic move propels Broadcom into the competitive cloud market, with software becoming a substantial part of its revenue. This trend of IC design companies, including AMD, Qualcomm, and Nvidia, venturing into software acquisitions continues to reshape the industry landscape.

Broadcom announced the acquisition of VMware on May 26, 2022, through a cash and stock transaction valued at USD 61 billion. After obtaining approvals from global regulatory authorities, including the EU, UK, South Korea, and Japan, the final conditional clearance from Chinese authorities was secured. This clearance involved ensuring compatibility between VMware server software and Broadcom hardware competitors’ products. The official announcement of completion came on November 22, 2023, following approval from Chinese authority. The final total transaction value came to USD 69 billion.

VMware, known for its expertise in cloud computing and virtualization software, separated from Dell in late 2021. With a customer base exceeding 400,000, it competes with Nutanix and Cloud Software Group. VMware’s core service lies in multi-cloud management, streamlining the integration of cloud resources from various vendors. It enables customers to manage multiple public clouds on a unified platform. The VMware platform significantly reduces the time needed for data migration to different public clouds, from 45 months to approximately 2.5 months.

Broadcom’s Software Business Soars to 40-45% Share after Acquisition, Ventures into Cloud and AI Markets

In 2023, VMware is expected to dominate the server virtualization market with a market share exceeding 70%. VMware’s strategic plan involves increasing the sales share of subscription services and cloud services from 25% in 2021 to 40% by 2025. With Q2 2023 revenue of USD 3.41 billion, almost double the size of Broadcom’s software business, the merger positions Broadcom’s software business to account for 40-45% of the total revenue.

This May, Broadcom CEO Tan Hock Eeng publicity stated that his company is committed to an annual investment of USD 2 billion in VMware’s R&D. Following the acquisition, Broadcom’s software division will be rebranded as VMware, and a shift from perpetual software licenses to subscription and SaaS models is planned. Broadcom aims to increase VMware’s EBITDA from USD4.7 billion in the 2022 fiscal year to USD 8.5 billion within three years.

Besides Broadcom’s entry into the cloud market through VMware, TrendForce also highlights VMware’s significance as a key partner for NVIDIA. The expanded strategic partnership, announced in August 2023, resulted in the establishment of Private AI Foundation with NVIDIA. Built on the VMware Cloud Foundation, the Private AI Foundation is a platform that allows enterprises to customize models and deploy Generative AI applications. The acquisition positions Broadcom to tap into NVIDIA’s AI ecosystem, providing an opportunity to join the NVIDIA AI server supply chain and explore the immense potential brought by AI.

Tech Giants Embrace Ecosystem Competition as IC Design Firms Dive into the Software Industry

To enhance customer loyalty, major companies including Apple, Microsoft, Google, have progressively taken part in ecosystem competition in recent years. These companies have successfully established robust ecosystems. At the same time, IC design companies are gradually venturing into the software industry, shifting the focus from mergers within the IC design sector to mergers in the software industry. In addition to Broadcom acquiring VMware, notable instances in 2022 include AMD’s acquisition of data center platform provider Pensando, Qualcomm’s purchase of automotive software companies Veoneer and Arriver, and NVIDIA’s takeover of software-defined storage(SDS) company Excelero.

For Broadcom, strategic acquisitions have been a recurring theme since the failed attempt to acquire Qualcomm in 2018, after former U.S. President Donald Trump blocked it with national security concerns. Notable acquisitions include the USD18.9 billion purchase of mainframe service company CA Technologies in 2018, the USD 10.7 billion acquisition of the security division of Symantec in 2019, and the unsuccessful attempt to acquire statistical analysis software company SAS Institute for USD15-20 billion in 2021.

Buying software companies provides Broadcom with the advantage of leveraging cross-selling. This enables the promotion of its products, such as compute offload business, server storage connectivity, fiber optics, Jericho routers, and Tomahawk switches, to enterprise customers adopting solutions from these software companies.

(Image: Broadcom)

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 TrendForce, the scope of IoT devices continue to expand under a wave of global digitization and smart machines including in industrial robotics, AGV/AMR, smart phones, smart speakers, smart cameras, etc. In addition, the deepening application of technologies such as autonomous driving, image recognition, speech and semantic recognition, and computing in various fields has catalyzed the rapid growth of AI chip and technology markets. The size of the global AI chip market is expected to reach US$39 billion in 2022, with a growth rate of 18.2%.

Since current utilization of AI chips are mostly in cloud computing, security, robotics, and automotive applications, they will enter a period of accelerated growth in 2023. In particular, the two fields of cloud computing and automotive applications will lead rapid market growth. By 2025, the size of the global AI chip market size is expected to reach US$74 billion, with CAGR from 2022 to 2025 reaching 23.8%.

ASIC chips have wide-ranging prospects, with market share in AI chips increasing year by year

From 2020 to 2021, the amount of data generated by datacenters and various terminal devices continued to rise, pushing chip technology to its limit, with demand for computing power becoming more difficult to meet. Therefore, many manufacturers have successively invested in high-end IC design and development. With increasing demand from various parties, the AI chip market is set to grow rapidly. The size of the AI chip market is expected to reach US$93 billion in 2026. CPU and GPU still occupy the lion’s share of the AI chip market and are growing steadily, while the ASIC market has expansive prospects and its advantages and characteristics can assist users in data processing, consumer electronics, telecommunication systems, and industrial computing develop product portfolios and shorten the innovation cycle of products, services, or systems.

TrendForce research shows that CPU, GPU, and ASIC chips will account for 33%, 34%, and 26% of the AI market, respectively, in 2026. The ASIC chip market will grow the fastest for two reasons. First, demand in the consumer electronic equipment market has increased and most developers of small and medium-sized equipment prefer 7nm ASICs. Second, workloads and structural demands of 5G, low-orbit satellite communications, cloud, and edge computing continue to increase, as telecommunications systems are the largest end-use market.

Since current utilization of AI chips are mostly in cloud computing, security, robotics, and automotive applications, they will enter a period of accelerated growth in 2023. In particular, the two fields of cloud computing and automotive applications will lead rapid market growth. By 2025, the size of the global AI chip market size is expected to reach US$74 billion, with CAGR from 2022 to 2025 reaching 23.8%.

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