According to a report from Wall Street Journal, Alphabet CFO Ruth Porat announced in a statement on May 30 that Google has committed to investing USD 2 billion in Malaysia. The investment includes building its first data center, expanding Google Cloud, and further developing artificial intelligence (AI).

Porat highlighted that this will be Google’s largest investment project in Malaysia. Google estimates that this investment will contribute over USD 3.2 billion to Malaysia’s GDP and create 26,500 jobs by 2030.

As per a report from Bloomberg, Google stated that in addition to developing cloud computing services, it will also support AI literacy programs for students and educators.

In its earnings call in April, Porat mentioned that the significant year-over-year increase in capital expenditures over recent quarters reflects Alphabet’s confidence in the potential of AI. She projected that the quarterly capital expenditures for the second to fourth quarters of this year would be comparable to or slightly higher than those in the first quarter.

On May 2, Microsoft Corp. announced that it will invest USD 2.2 billion in Malaysia over the next four years to support the country’s digital transformation. The investment projects include developing digital infrastructure, creating AI skill opportunities, establishing a National AI Excellence Center, and enhancing Malaysia’s cybersecurity capabilities.

Earlier this week, Malaysian Prime Minister Anwar Ibrahim announced the National Semiconductor Strategy, which includes providing at least USD 5.3 billion in financial support and training 60,000 semiconductor engineers, aiming to make Malaysia a global chip hub.

Amidst the U.S.-China rivalry and other geopolitical tensions, global companies are seeking to diversify their supply chains. Facing competition between the U.S. and China, Malaysia is reportedly keen to maintain a neutral position in the semiconductor supply chain landscape. According to the Malaysian Investment Development Authority (MIDA), the country currently provides 13% of global testing and packaging.

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• [News] Malaysia’s Major Investment Aims to Establish Global Chip Hub
• [News] Overseas Expansion of Testing and Packaging Facilities – Japan, Malaysia, and Singapore Emerge as Top Choices

(Photo credit: Google)

In response to US export bans, NVIDIA, the global leader in AI chips, has commenced to sell H20, its AI chip tailored for the Chinese market earlier this year. However, an oversupply caused the chip to be priced lower than its rival, Huawei, in some cases even at an over 10% discount, according to the latest report by Reuters.

The US Department of Commerce restricted the export of NVIDIA AI chips to China due to concerns about their potential military use in late 2022. In response, NVIDIA has repeatedly reduced product performance to comply with US regulations. The H20 chip, derived from the H800, is specifically designed as a ‘special edition’ for the Chinese market.

However, due to the abundant supply in the market, citing sources familiar with the matter, Reuters noted that H20 chips are being sold at a discount of over 10% compared to Huawei’s Ascend 910B, the most powerful AI chip from the Chinese tech giant.

The chip is reportedly to be sold at approximately 100,000 yuan per unit, while Huawei 910B sold at over 120,000 yuan per unit.

The decreasing prices underscore the difficulties NVIDIA encounters in its China operations amid U.S. sanctions on AI chip exports and rising competition from local rivals.

According to a previous report by The Information, major tech companies such as Alibaba, Baidu, ByteDance, and Tencent have been instructed to reduce their spending on foreign-made chips like NVIDIA’s, according to sources cited by the media outlet.

(Photo credit: Huawei)

Huawei, in collaboration with Orange Pi, an open source product brand of Shenzhen Xunlong Software, have unveiled their latest brandchild, OrangePi Kunpeng Pro development board. Though the specifics of the product have been hidden from public, an AI processor is said to be integrated into the package, indicating that Huawei’s Kunpeng chipsets have been progressing into the AI realm, according to a report from tom’s Hardware.

The Kunpeng Pro development board, an alternative of Raspberry Pi, is reported to be powered by a quad-core 64-bit Arm processor and an AI processor integrated into the same package. However, details of these processors remain undisclosed.

This is a tactic Huawei has employed previously to deter Western scrutiny. Huawei has been facing strict sanctions from the U.S. government, restricting its access to certain chips and chip-making technologies. On May 7th, the U.S. authority revoked the licenses of Intel and Qualcomm to supply semiconductor chips used in laptops and handsets to Huawei, which took immediate effect.

The development board is reported to be designed for a diverse user base, including consumers, developers, and students. It comes preinstalled with the openEuler OS, the openGauss database, and a range of internet, productivity, and software development tools.

Tom’s Hardware has learned that Kunpeng Pro uses a custom Huawei Kunpeng CPU that is paired with an AI FPGA processor. The CPU is believed to be a quad-core ARM model, while the AI FPGA processor is reportedly to offer 8 TOPS (Trillions or Tera Operations per Second) of AI computing power.

Qualcomm’s Snapdragon X Elite, launched in late 2023, delivers peak AI computing performance of 45 TOPS, while Apple’s M4, released in early May, is rated at 38 TOPS.

(Photo credit: Orange Pi)

According to a report from Economic Daily News citing The Wallstreet Journal, Apple is rumored to be developing its own AI chips tailored for data centers, which could potentially give the world’s top smartphone seller a crucial advantage in the AI arms race. The report, quoting sources familiar with the matter, stated that Apple has been working closely with its chip manufacturing partner TSMC to design and produce these chips in the primary stage. However, it is still unclear whether the final version has been produced yet.

It is suggested that Apple’s server chips may focus on executing AI models, particularly in AI inference, rather than AI training, where Nvidia’s chips currently dominate.

Over the past decade, Apple has gradually become a major player in chip design for products like iPhone, iPad, Apple Watch, and Mac. The latest project involving Apple chips for data center servers, internally named “Project ACDC” (short for Apple Chips in Data Center), will integrate Apple’s IC design capabilities into the operation of clients’ servers, sources said.

The project has been in operation for several years, though the timetable for launching this server chip remains unclear. Apple is expected to unveil more new AI products and AI-related updates at its Worldwide Developers Conference (WWDC) in June.

An Apple spokesperson declined to comment on the reported developments.

According to reports from Wccftech on April 23rd, Apple is said to be working on a self-developed AI server processor using TSMC’s 3-nanometer process, with plans for mass production expected in the second half of 2025.

According to a Reuters, despite the U.S. expanding export controls on advanced artificial intelligence (AI) chips to China last year, Chinese universities and research institutions have recently acquired high-end AI chips from Nvidia through distributors.

Reviewing hundreds of bidding documents, Reuters found that since the U.S. expanded chip export controls on November 17 last year, ten Chinese entities have acquired Nvidia’s advanced chips embedded in server products produced by U.S. firms Supermicro, Dell, and Taiwanese company Gigabyte Technology.

Based on this Reuters report, bidding documents not reported from November 20 last year to February 28 this year show that Chinese institutions such as the Chinese Academy of Sciences, Shandong Artificial Intelligence Institute, Hubei Earthquake Administration, Shandong University, Southwest University, a technology investment company owned by the Heilongjiang Provincial Government, a state-owned aerospace research center, and a space science center have purchased these server products from distributors, which include some of Nvidia’s most advanced chips.

In response, a Nvidia spokesperson told Reuters that the products involved in these bids were exported before the ban was implemented in the United States. The spokesperson stated that the report does not imply that Nvidia or any of its partners violated export control regulations, and the proportion of these products in global sales is negligible. Nvidia complies with U.S. regulatory standards.

Both Supermicro and Dell stated that they would investigate and take action if any third-party illegal exports or re-exports are found. Gigabyte, the Taiwanese company mentioned in the report, told the Central News Agency that it has fully complied with relevant regulations since the chip ban took effect on November 17 last year, and has not shipped any restricted products to China. Gigabyte reiterated its strict adherence to relevant Taiwanese laws and international embargo regulations, stating that there has been no violation of any embargo regulations.

In 2023, the United States further restricted Chinese businesses from acquiring high-end AI chips. At that time, Nvidia responded by launching a China-specific version, the H20. TrendForce also presented relevant data for the Chinese market, indicating that Chinese CSP companies, including ByteDance, Baidu, Alibaba, and Tencent (BBAT), accounted for approximately 6.3% of high-end AI server shipments in 2023. Considering the ban and subsequent risks, it is estimated that the proportion in 2024 may be less than 4%.

(Photo credit: NVIDIA)