According to sources cited in a report from Reuters, it’s said that IC design giant MediaTek is developing an ARM-based PC chip that will run Microsoft’s Windows operating system.

Last month, Microsoft unveiled a new generation of laptops featuring ARM-based chips, which provide sufficient computing power to run AI applications. Its executives stated that this represents the future trend of consumer computing. MediaTek’s latest development of an ARM-based PC chip is said to be geared toward these types of laptops.

The same report indicates that Microsoft’s move plans to take aim at Apple, which has been using ARM-based chips in its Mac computers for about four years. Microsoft’s decision to optimize Windows using ARM-based chips could further pose a threat to Intel’s long-standing dominance in the PC market.

Regarding this matter, both MediaTek and Microsoft declined to comment.

Reportedly, according to industry sources, MediaTek’s PC chip is scheduled to launch by the end of next year, coinciding with the expiration of Qualcomm’s exclusive agreement to supply chips for laptops. MediaTek’s chip, based on ARM’s existing designs, will significantly accelerate the development process by less design work.

It is currently unclear whether Microsoft has approved MediaTek’s PC chip for supporting the Copilot+ feature in Windows programs.

ARM executives have stated that one of their clients used ready-made components to complete a chip design in about nine months, although this client was not MediaTek. For experienced chip designers, creating and testing advanced chips typically takes more than a year, depending on the complexity.

In the latest press release from TrendForce, MediaTek’s strategy in the PC domain is also highlighted. Reportedly, the Arm chip co-developed by MediaTek and NVIDIA, with adoption of Wi-Fi 7 and 5G, is also slated to occupy a spot in the AI NB market since 2Q25, and initiate a new wave of technical innovation after 2025. According to TrendForce’s forecast, Arm chips are likely to surpass 20% in market penetration at an accelerated velocity in 2025.

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(Photo credit: MediaTek)

The upcoming iPhone 16 series from Apple is set to debut in the latter half of the year, and according to a report from Korean media outlet “The Elec,” LG Display, a major panel manufacturer in South Korea, has secured OLED panel orders from Apple for the iPhone 16 Pro Max model, ahead of its rival Samsung.

Earlier in May, both LG Display and Samsung Display secured orders for OLED panels for Apple’s iPhone 16 Pro, according to the report. Subsequently, LG Display also has acquired orders for iPhone 16 Pro Max panels, which could be the first time ever for LG Display to be ahead of Samsung display. 

Reports indicate that LG Display failed to secure the initial batch of orders for OLED panels for the iPhone 15 Pro last year, with the majority of orders going to its competitor Samsung Display. This bolstered Samsung Display’s profitability significantly. However, this year, LG Display has finally regained its footing by securing orders for both the iPhone 16 Pro and iPhone 16 Pro Max models, marking a turnaround in its fortunes.

However, Samsung Display continues to firmly hold orders for OLED panels for the iPhone 16 and iPhone 16 Plus models, while LG Display is responsible only for supplying OLED panels for the higher-end positioned iPhone 16 Pro and iPhone 16 Pro Max models.

Previous revelations from South Korean source yeux1122 also indicated that LG Display holds a higher share than Samsung Display in the supply of OLED screens for Apple’s new iPad Pro.

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(Photo credit: Apple)

According to a report from South China Morning Post, Wang Tao, Executive Director, Chairman of the ICT Infrastructure Managing Board at Huawei, recently stated at the World Semiconductor Conference and Nanjing International Semiconductor Expo that Huawei’s advanced Ascend 910B AI chip achieves an efficiency of up to 80% compared to NVIDIA’s A100 when training large-scale language models. In terms of specific test performance, it surpasses NVIDIA’s A100 AI GPU by 20%.

Reportedly, leading Chinese companies such as Tencent Holdings and Baidu have also purchased the Ascend 910B chip for conference tasks, indicating substantial market adoption of the chip and encroaching on NVIDIA’s AI chip market share.

Huawei’s self-developed AI chip, the Ascend 910B, adopts the advanced Da Vinci architecture and supports various AI computing tasks such as deep learning and inference. The chip boasts computing capabilities of up to 320 TFLOPS in half-precision (FP16) and 640 TOPS in integer precision (INT8), all while consuming 310W of power.

Reportedly, it’s expected that Chinese tech giants may now be considering a shift towards local AI products, which could pose a challenge to NVIDIA. Currently, China accounts for 17% of NVIDIA’s revenue in the 2024 fiscal year, making the competition in the Chinese market increasingly fierce for NVIDIA.

According to a previous report from Reuters, NVIDIA, in response to the US ban on high-end chips, provided three chips specifically for the Chinese market, with the H20 chip receiving significant attention.

Hence, there are reports of a price reduction for the H20 chip to stimulate demand and address the intense competition from Huawei in the Chinese market. It’s reported that the price of the H20 chip is over 10% lower than Huawei’s Ascend 910B chip. 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.

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• [News] NVIDIA Reportedly Facing Price Cut Pressure of H20 Chip in China Amid Competition with Huawei
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(Photo credit: Huawei)

The continuous increase in silicon content driven by AI servers, high-performance computing (HPC) applications, and the AI integration of high-end smartphones has led to a surge in demand for semiconductors. According to a report from the Economic Daily News, major companies such as Apple, Qualcomm, NVIDIA, and AMD are reportedly securing substantial production capacity for TSMC’s 3nm process family. This has resulted in a queue of clients stretching all the way to 2026.

TSMC has a consistent policy of not commenting on individual client information. Regarding whether the high demand for production capacity will lead to price increases to reflect its value, TSMC emphasizes that its pricing strategy is always strategically oriented rather than opportunistically driven. TSMC will continue to work closely with clients to provide value.

As per sources cited by the same report, TSMC is not a company that raises prices arbitrarily. Reflecting value does not equate directly to price increases, even though the company holds a leading edge in advanced process technology. There are various ways for TSMC to demonstrate value to its customers.

The members of TSMC’s 3nm family include N3, N3E, N3P, as well as N3X and N3A. As the existing N3 technology continues to be upgraded, N3E, which began mass production in the fourth quarter of last year, targets applications such as AI accelerators, high-end smartphones, and data centers. N3P is scheduled for mass production in the second half of this year and is expected to become mainstream for applications in mobile devices, consumer products, base stations, and networking through 2026. N3X and N3A are customized for high-performance computing and automotive clients.

Source: TSMC

Industry sources cited by Economic Daily News in the report believe that with clients rushing to book production capacity, TSMC’s 3nm family will continue to experience tight supply over the next two years. This does not yet include Intel’s outsourcing demand for CPUs.

Due to the fact that TSMC’s 3nm family production capacity has already been fully allocated by customers for this year and next, the company’s plan to triple the relevant capacity this year compared to last year is still insufficient. To ensure an uninterrupted supply for the next two years, TSMC has implemented several measures to expand its production capacity.

Previously, during an earnings call, the company announced that due to robust demand, its strategy includes converting some 5nm equipment to support 3nm production. Industry sources cited by the report also reveal that TSMC’s total 3nm family capacity is continuously increasing, with monthly production capacity expected to reach between 120,000 and 180,000 wafers.

Meanwhile, the sources cited by the Economic Daily News indicate that the main sources of orders for TSMC’s 3nm family include major clients such as Apple, Qualcomm, NVIDIA, and AMD. Apple is expected to launch the iPhone 16 series as early as September, which is anticipated to be the first iPhone with AI capabilities, potentially sparking a new wave of upgrades among Apple fans.

Source: TSMC

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(Photo credit: TSMC)

During NVIDIA founder and CEO Jensen Huang’s keynote speech on June 2, he shared insights on how the AI era is driving the development of a new global industrial revolution.

According to a report from TechNews, he covered various technologies and application areas, including advancements in accelerated computing, microservices, industrial digitalization, and consumer devices, which are expected to become key focus areas in the evolving AI market.

• Accelerated Computing

1. Collaboration between the computer industry and NVIDIA to build AI factories and data centers: NVIDIA and leading computer manufacturers worldwide announced today the launch of a series of systems based on the NVIDIA Blackwell architecture. These systems feature Grace CPUs, NVIDIA networking technologies, and infrastructures to assist enterprises in establishing AI factories and data centers.

2. Foxconn utilizes NVIDIA artificial intelligence and Omniverse technology to train robots and streamline assembly operations: Foxconn operates over 170 plants worldwide, with its latest being a virtual plant driving the latest developments in industrial automation technology.

The latest of Foxconn’s plant is a digital twin model of a new factory in Guadalajara, Mexico, a hub for the electronics industry. Engineers at Foxconn define processes and train robots in this virtual environment to enable physical factories to efficiently produce the next generation of accelerated computing engines, the NVIDIA Blackwell HGX system.

3. NVIDIA significantly strengthens Ethernet networks for generative artificial intelligence: NVIDIA announced widespread adoption of the NVIDIA Spectrum-X Ethernet platform and will accelerate the release of new products. CoreWeave, GMO Internet Group, Lambda, Scaleway, STPX Global, and Yotta are the first batch of AI cloud service providers to adopt NVIDIA Spectrum-X, bringing ultimate network performance to their AI infrastructure.

Additionally, NVIDIA’s partners have also released products utilizing the Spectrum platform, including ASRock Rack, ASUS, GIGABYTE Technology, Ingrasys Inc., Inventec, Quanta Cloud Technology, Wistron and Wiwynn. Moreover, Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Super Micro Computer have collaborated with NVIDIA to incorporate the Spectrum platform into their respective products.

• Microservices

NVIDIA NIM has revolutionized deployment model: NVIDIA has announced that its inference microservice, NVIDIA NIM, optimized in container form, is now available for download by 28 million developers worldwide.

This allows deployment to cloud, data centers, or workstations, enabling developers to effortlessly build generative artificial intelligence applications for assisting partners, such as copilots and chatbots, within minutes, a process that previously took several weeks.

• Industrial Digitalization

1. Electronics manufacturers adopt NVIDIA AI and Omniverse to drive robotic factories and accelerate industrial digitization: NVIDIA announced that major Taiwanese electronics manufacturers, including Delta Electronics, Foxconn, Pegatron Corporation, and Wistron Corporation, are using NVIDIA’s technology to transform their factories into more autonomous production facilities through new reference workflows.

This workflow combines NVIDIA Metropolis visual artificial intelligence (AI) technology, NVIDIA Omniverse’ physically accurate rendering and simulation technology, and NVIDIA Isaac’s AI robot development and deployment technology.

2. Industry leaders adopt NVIDIA’s robotic technology to develop tens of millions of AI-supported autonomous machines, including BYD Electronics, Siemens, Teradyne Robotics, and Alphabet’s Intrinsic, among more than ten global leading companies in the robotics industry.

These companies integrate NVIDIA Isaac acceleration libraries, physically principled simulation content, and AI models into their software frameworks and robot models to enhance efficiency in factories, warehouses, and distribution centers. This enables human colleagues to work in safer environments and serves as intelligent assistants in executing repetitive or ultra-precise tasks.

3. NVIDIA introduces NVIDIA IGX with Holoscan support, enabling enterprise software to run medical, industrial, and scientific artificial intelligence applications in real-time at the edge: To meet the growing demand for real-time artificial intelligence computing technology at the industrial edge, NVIDIA announces the comprehensive launch of NVIDIA AI Enterprise-IGX software with Holoscan on the NVIDIA IGX platform.

• Consumer Devices

1. NVIDIA utilizes GeForce RTX AI PC to deliver the real AI assistant experience: NVIDIA announces the launch of the new NVIDIA RTX technology, designed to support AI assistants and digital human platforms running on new GeForce RTX AI laptops.

2. NVIDIA introduces Digital Human Microservices to lay the foundation for future generative AI digital avatars: NVIDIA announces the comprehensive rollout of NVIDIA ACE generative artificial intelligence microservices to accelerate the development of the next wave of digital humans and numerous breakthroughs in generative AI soon to be introduced on the platform.

Companies in customer service, gaming, and healthcare sectors are among the first to adopt ACE technology, making it easier to create, personalize, and interact with realistic digital humans. These microservices have broad applications in customer service, telehealth, gaming, and entertainment.

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(Photo credit: NVIDIA)