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)

On May 20th, Intel announced that the release date for its next-generation processor, Lunar Lake, has been moved up, with official shipments expected in the third quarter. The NPU performance is set to reach 45 TOPS. However, per a report from Economic Daily News, the industry is puzzled by the fact that this chip is bundled with 16GB and 32GB memory, with Intel holding the specification control tightly. Reportedly, this move has disrupted the industry order, and PC manufacturers are said to be privately expressing their dissatisfaction.

It is expected that 20 brands will release 80 models featuring this processor. Combined shipments of Metro Lake and Lunar Lake this year are projected to reach 40 million units. Unlike the previous generation, Lunar Lake’s packaging design integrates LPDDR5x memory into a single package, emphasizing low power consumption.

On May 20th, Microsoft launched its next-generation AI PCs, equipped with a more powerful AI assistant, Copilot, and new features. It also established a new standard for AI PC architecture, “Copilot+ PC.” The initial products all feature Qualcomm’s “Snapdragon X Elite” processors designed with Arm architecture.

Qualcomm’s CPUs in the new PCs are equipped with a Neural Processing Engine (NPE) designed specifically for AI applications, boasting 45 TOPS. This, as per another report from the Economic Daily News, results in a 58% increase in speed and extended battery life compared to Apple’s latest top-tier MacBook, which uses the M3 chip. Additionally, they support Microsoft’s AI chatbot, Copilot.

Intel, on the other hand, made a rare announcement, revealing that its next-generation Lunar Lake will have a total performance exceeding 100 TOPS, with the NPU alone exceeding 45 TOPS—nearly three times that of the previous generation. Additionally, the CPU and GPU combined computing power will exceed 60 TOPS, making it the second qualified processor for Microsoft’s Copilot+ PC platform.

However, it is important to note that according to Intel’s plans, the new generation processors Ultra 5/7/9 will be bundled with memory and shipped together with the CPU. Specifically, the high-end Ultra 9 will be bundled with 32GB of memory, while the Ultra 5 and Ultra 7 will have 16GB and 32GB versions. Per Microsoft’s recommendations, AI PCs need at least 16GB of memory. While Intel’s approach meets this requirement, it limits the ability of brands to adjust specifications and leaves memory manufacturers out of the loop.

In simpler terms, there is still a demand for 8GB memory in lower-end notebooks, and high-end laptops can require more than 64GB of memory. However, Intel’s Lunar Lake constraints make it difficult to plan both high-end and entry-level versions. Industry sources cited in the same report from Economic Daily News indicate that Intel’s next-generation Arrow Lake will not be bundled with memory.

Reportedly, industry sources also state that procurement contracts with memory suppliers have traditionally been long-term, accounting for annual memory requirements. Now, Intel’s bundling of memory with its single platform changes the industry’s ecosystem. Previously, PC brands would develop various combinations (CPU + memory + SSD capacity) for their product lines. However, with Intel defining five laptop CPU + memory specifications, it limits the customization capabilities of PC brands.

With Intel launching Lunar Lake early, AMD is set to counter with its next-generation AI processor Ryzen series named Strix Point in the fourth quarter. The Strix Point processor will feature AI processing power exceeding 50 TOPS, and there will also be an APU, Strix Halo, expected to launch around the end of the year with performance exceeding 60 TOPS, making it a significant player in AI computing power.

CEO Pat Gelsinger recently demonstrated the performance of the Lunar Lake processor, emphasizing that its total AI workload exceeds 100 TOPS, with the NPU contributing 45 TOPS. The CPU features Lion Cove architecture P-cores and Skymont architecture E-cores, while the GPU and CPU together provide over 60 TOPS of computing power. This means Intel’s chip AI performance will be more than three times that of current products, with a total combined performance exceeding 100 TOPS.

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(Photo credit: Intel)

“The Dawn of Generative AI Has Come!” This new chapter in the course of human technological evolution was first introduced by NVIDIA’s founder, Jensen Huang. Qualcomm’s CEO, Cristiano Amon, also shares this optimism regarding generative AI. Amon believes this technology is rapidly evolving and being adopted for applications such as mobile devices. It is expected to have the potential to radically transform the landscape of the smartphone industry. Similarly, Intel has declared the arrival of the “AI PC” era, signaling a major shift in computing-related technologies and applications.

This year, AI is transitioning from cloud computing to on-premise computing. Various “AI PCs” and “AI smartphones” are being introduced to the market, offering a wide range of selections. The current year of 2024 is even being referred to as the “Year of AI PC,” with brands such as Asus, Acer, Dell, Lenovo, and LG actively releasing new products to capture market share. With the rapid rise of AI PCs and AI smartphones, revolutionary changes are expected to occur in workplaces and people’s daily lives. Furthermore, the PC and smartphone industries are also expected to be reinvigorated with new sources of demand.

An AI PC refers to a laptop (notebook) computer capable of performing on-device AI computations. Its main difference from regular office or business laptops lies in its CPU, which includes an additional neural processing unit (NPU). Examples of AI CPUs include Intel’s Core Ultra series and AMD’s Ryzen 8040 series. Additionally, AI PCs come with more DRAM to meet the demands of AI computations, thereby supporting related applications like those involving machine learning.

Microsoft’s role is crucial in this context, as the company has introduced a conversational AI assistant called “Copilot” that aims to seamlessly integrate itself into various tasks, such as working on Microsoft Office documents, video calls, web browsing, and other forms of collaborative activities. With Copilot, it is now possible to add a direct shortcut button for AI on the keyboard, allowing PC users to experience a holistic collaborative relationship with AI.

In the future, various computer functions will continue to be optimized with AI. Moreover, barriers that existed for services such as ChatGPT, which still require an internet connection, are expected to disappear. Hence, AI-based apps on PCs could one day be run offline. Such a capability is also one of the most eagerly awaited features among PC users this year.

Surging Development of LLMs Worldwide Has Led to a Massive Increase in AI Server Shipments

AI-enabled applications are not limited to PCs and smartphones. For example, an increasing number of cloud companies have started providing services that leverage AI in various domains, including passenger cars, household appliances, home security devices, wearable devices, headphones, cameras, speakers, TVs, etc. These services often involve processing voice commands and answering questions using technologies like ChatGPT. Going forward, AI-enabled applications will become ubiquitous in people’s daily lives.

Not to be overlooked is the fact that, as countries and multinational enterprises continue to develop their large language models (LLMs), the demand for AI servers will increase and thus promote overall market growth. Furthermore, edge AI servers are expected to become a major growth contributor in the future as well. Small-sized businesses are more likely to use LLMs that are more modest in scale for various applications. Therefore, they are more likely to consider adopting lower-priced AI chips that also offer excellent cost-to-performance ratios.

TrendForce projects that shipments of AI servers, including models equipped with GPUs, FPGAs, and ASICs, will reach 1.655 million units in 2024, marking a growth of 40.2% compared with the 2023 figure. Furthermore, the share of AI servers in the overall server shipments for 2024 is projected to surpass 12%.

Regarding the development of AI chips in the current year of 2024, the focus is on the competition among the B100, MI300, and Gaudi series respectively released by NVIDIA, AMD, and Intel. Apart from these chips, another significant highlight of this year is the emergence of in-house designed chips or ASICs from cloud service providers.

In addition to AI chips, the development of AI on PCs and smartphones is certainly another major driving force behind the technology sector in 2024. In the market for CPUs used in AI PCs, Intel’s Core Ultra series and AMD’s Ryzen 8000G series are expected to make a notable impact. The Snapdragon X Elite from Qualcomm has also garnered significant attention as it could potentially alter the competitive landscape in the near future.

Turning to the market for SoCs used in AI smartphones, the fierce competition between Qualcomm’s Snapdragon 8 Gen 3 and MediaTek’s Dimensity 9300 series is a key indicator. Another development that warrants attention is the adoption of AI chips in automotive hardware, such as infotainment systems and advanced driver assistance systems. The automotive market is undoubtedly one of the main battlegrounds among chip suppliers this year.

The supply chain in Taiwan has played a crucial role in providing the hardware that supports the advancement of AI-related technologies. When looking at various sections of the AI ecosystem, including chip manufacturing as well as the supply chains for AI servers and AI PCs, Taiwan-based companies have been important contributors.

Taiwan-based Companies in the Supply Chain Stand Ready for the Coming Wave of AI-related Demand

In the upstream of the supply chain, semiconductor foundries and OSAT providers such as TSMC, UMC, and ASE have always been key suppliers. As for ODMs or OEMs, companies including Wistron, Wiwynn, Inventec, Quanta, Gigabyte, Supermicro, and Foxconn Industrial Internet have become major participants in the supply chains for AI servers and AI PCs.

In terms of components, AI servers are notable for having a power supply requirement that is 2-3 times greater than that of general-purpose servers. The power supply units used in AI servers are also required to offer specification and performance upgrades. Turning to AI PCs, they also have higher demands for both computing power and energy consumption. Therefore, advances in the technologies related to power supply units represent a significant indicator this year with respect to the overall development of AI servers and AI PCs. Companies including Delta Electronics, LITE-ON, AcBel Polytech, CWT, and Chicony are expected to make important contributions to the upgrading and provisioning of power supply units.

Also, as computing power increases, heat dissipation has become a pressing concern for hardware manufacturers looking to further enhance their products. The advancements in heat dissipation made by solution providers such as Sunon, Auras, AVC, and FCN during this year will be particularly noteworthy.

Besides the aforementioned companies, Taiwan is also home to numerous suppliers for other key components related to AI PCs. The table below lists notable component providers operating on the island.

With the advent of generative AI, the technology sector is poised for a boom across its various domains. From AI PCs to AI smartphones and a wide range of smart devices, this year’s market for electronics-related technologies is characterized by diversity and innovation. Taiwan’s supply chain plays a vital role in the development of AI PCs and AI servers, including chips, components, and entire computing systems. As competition intensifies in the realm of LLMs and AI chips, this entire market is expected to encounter more challenges and opportunities.

Join the AI grand event at Computex 2024, alongside CEOs from AMD, Intel, Qualcomm, and ARM. Discover more about this expo! https://bit.ly/44Gm0pK

(Photo credit: Qualcomm)

In a bid to seize the AI PC market opportunity, Apple is set to debut its new iPad Pro on the 7th, featuring its in-house M4 chip. With the momentum of the M4 chip’s strong debut, Apple reportedly plans to revamp its entire Mac lineup. The initial batch of M4 Macs is estimated to hit the market gradually from late this year to early next year.

It’s reported by a report from Commercial Times that Apple’s M4 chip adopts TSMC’s N3E process, aligning with Apple’s plans for a major performance upgrade for Mac, which is expected to boost TSMC’s operations.

Notably, per Wccftech’s previous report, it is rumored that the N3E process is also used for producing products like the A18 Pro, the upcoming Qualcomm Snapdragon 8 Gen 4, and the MediaTek Dimensity 9400, among other major clients’ products.

Apple held an online launch event in Taiwan on May 7th at 10 p.m. Per industry sources cited by the same report, besides introducing accessories like iPad Pro, iPad Air, and Apple Pencil, the event will mark the debut of the M4 self-developed chip, unveiling the computational capabilities of Apple’s first AI tablet.

With major computer brands and chip manufacturers competing to release AI PCs, such as Qualcomm’s Snapdragon X Elite and X Plus, and Intel introducing Core Ultra into various laptop brands, it is imperative for Apple to upgrade the performance of its products. Therefore, the strategy of highlighting AI performance through the M4 chip comes as no surprise.

According to a report by Mark Gurman from Bloomberg, the M4 chip will be integrated across Apple’s entire Mac product line. The first batch of M4 Macs is said to be expected to debut as early as the end of this year, including new iMac models, standard 14-inch MacBook Pro, high-end 14-inch and 16-inch MacBook Pro, and Mac mini. New products for 2025 will also be released gradually, such as updates to the 13-inch and 15-inch MacBook Air in the spring, updates to the Mac Studio in mid-year, and finally updates to the Mac Pro.

The report from Commercial Times has claimed that the M4 chip will come in three versions: Donan, Brava, and Hidra. The Donan variant is intended for entry-level MacBook Pro, MacBook Air, and low-end Mac mini models. The Brava version is expected to be used in high-end MacBook Pro and Mac mini models, while the Hidra version will be integrated into desktop Mac Pro computers.

Apple’s plan to introduce the M4 chip into its Mac series is expected to boost the revenue of TSMC’s 3-nanometer family. The report has indicated that the M4 chip will still be manufactured using TSMC’s 3-nanometer process, but with enhancements to the neural processing engine (NPU), providing AI capabilities to Apple’s product line. Additionally, industry sources cited by the same report have revealed that the M4 will utilize TSMC’s N3E process, an improvement over the previous N3B process used in the M3 series chips.

Meanwhile, TSMC continues to advance its existing advanced process node optimization versions. Among them, the N3E variant of the 3-nanometer family, which entered mass production in the fourth quarter of last year, will be followed by N3P and N3X. Currently, N3E is highly likely to be featured in the new generation iPad Pro.

Source: TSMC

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Qualcomm is actively entering the AI PC market with a new processor unveiled on April 25th, reportedly featuring Arm architecture and produced on a 4nm process, igniting a new battle in non-x86 architecture AI PC processors.

Industry sources cited by the report from Economic Daily News have anticipated that TSMC is behind this new chip from Qualcomm. Following this trend, major players like Apple, NVIDIA, and MediaTek will continue to release Arm-based AI PC processors, all likely manufactured by TSMC.

Since 2018, Qualcomm has introduced a series of chips like Snapdragon 8cx, 7c, 8c platforms, 8cx Gen 2, and 8cx Gen 3, targeting always-connected and mobile PC domains. After years of preparation, they’re capitalizing on the AI wave, with last year’s launch of Snapdragon X Elite, produced on TSMC’s 4nm process. Yesterday, they further expanded with Snapdragon X Plus, aiming for a larger share of the AI PC market.

Qualcomm claims both Snapdragon X Elite and X Plus feature customized integrated Oryon CPUs, outperforming competitors with 37% higher CPU performance and a 54% reduction in power consumption. During last year’s Snapdragon Summit, Qualcomm introduced its in-house Oryon CPU, claiming that certain CPU performance metrics surpassed those of Intel and Apple chips.

Qualcomm previously mentioned that part of the Snapdragon X Elite’s GPU performance also surpasses competitors like AMD. Both Snapdragon X chips feature Hexagon neural network processors (NPU) capable of 45 trillion operations per second (TOPS), promising unprecedented performance, energy efficiency, and on-device AI capabilities for more Windows PCs.

Qualcomm emphasizes that the NPU’s performance supports new AI-optimized applications and features, including OBS Studio real-time captions, leveraging on-device Whisper functionality to instantly translate 100 spoken languages into 100 languages for live broadcasts.

According to Qualcomm’s official website, the Snapdragon X Elite features 12 cores with a maximum multi-thread frequency of 3.8 GHz, while the Snapdragon X Plus has 10 cores with a maximum frequency of 3.4 GHz.

Industry sources cited by the same report from Economic Daily News believe the Snapdragon X Plus will help Qualcomm capture the PC mainstream market. Qualcomm stated that OEMs are expected to launch PCs equipped with Snapdragon X Plus and Snapdragon X Elite starting from mid this year.

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(Photo credit: Qualcomm)