According to a report from Korean media The Korea Economic Daily, Samsung Electronics Co. is planning to apply its 3nm process chips to its Galaxy series smartphones and smartwatches, posing a challenge to rivals Apple and TSMC.

The report cited industry sources on May 13th, stating that Samsung’s second-generation 3nm production line in South Korea is set to commence operations in the latter half of this year (2024). The first product to be manufactured on this line will reportedly be the application processor (AP) for the upcoming Galaxy Watch7, tentatively named “Exynos W1000,” which is expected to be unveiled in July.

As per the same report citing sources, the Exynos W1000 is set to utilize the semiconductor industry’s most advanced second-generation 3nm process, with computing performance and power efficiency expected to increase by over 20%. In comparison, the Apple Watch Series 9 utilizes a 5nm application processor.

On another note, industry sources cited by the same report revealed that Samsung’s next-generation flagship smartphone, the Galaxy S25, scheduled for an early 2025 release, will also feature the 3nm Exynos W1000 application processor. Samsung aims to unveil this technology ahead of the Paris Summer Olympics opening on July 26th, with a “Galaxy Unpacked” event scheduled for July 10th in Paris.

The mobile processor industry has entered the 3nm battleground. Per Wccftech’s previous report, it is rumored that TSMC’s N3E process is also used for producing products like the A18 Pro chip scheduled to be used in iPhone 16 Pro, the upcoming Qualcomm Snapdragon 8 Gen 4, and the MediaTek Dimensity 9400, among other major clients’ products.

Meanwhile, as per a report from another South Korean media outlet TheElec, Siyoung Choi, the President of Samsung’s Foundry Business, predicted during the annual shareholders’ meeting on March 20th that the second-generation 3nm process is expected to begin production in the latter half of this year, while production for the 2nm process is slated for next year.

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(Photo credit: Samsung)

“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)

On May 7 (The US time), Apple launched its latest self-developed computer chip, M4, which is integrated into the new iPad Pro as its debut platform. M4 allegedly boasts Apple’s fastest-ever neural engine, capable of performing up to 380 trillion operations per second, surpassing the neural processing units of any AI PC available today.

Apple stated that the neural engine, along with the next-generation machine learning accelerator in the CPU, high-performance GPU, and higher-bandwidth unified memory, makes the M4 an extremely powerful AI chip.

• Teardown of M4 Chip

Internally, M4 consists of 28 billion transistors, slightly more than M3. In terms of process node, the chip is built on the second-generation 3nm technology, functioning as a system-on-chip (SoC) that further enhances the efficiency of Apple’s chips.

Reportedly, M4 utilizes the second-generation 3nm technology in line with TSMC’s previously introduced N3E process. According to TSMC, while N3E’s density isn’t as high as N3B, it offers better performance and power characteristics.

On core architecture, the new CPU of M4 chip features up to 10 cores, comprising 4 performance cores and 6 efficiency cores, which is 2 more efficiency cores compared to M3.

The new 10-core GPU builds upon the next-generation GPU architecture introduced with M3 and brings dynamic caching, hardware-accelerated ray tracing, and hardware-accelerated mesh shading to the iPad for the first time. M4 significantly improves professional rendering performance in applications like Octane, now 4 times faster than the M2.

Compared to the powerful M2 in the previous iPad Pro generation, M4 boasts a 1.5x improvement in CPU performance. Whether processing complex orchestral files in Logic Pro or adding demanding effects to 4K videos in LumaFusion, M4 can enhance the performance of the entire professional workflow.

As to memory, the M4 chip adopts faster LPDDR5X, achieving a unified memory bandwidth of 120GB/s. LPDDR5X is a mid-term update of the LPDDR5 standard, offering higher memory clock speeds up to 6400 MT/s. Currently, LPDDR5X speed reaches up to 8533 MT/s, although the memory clock speed of M4 only reaches approximately 7700 MT/s.

Data from the industry shows that Apple M3 features up to 24GB of memory, but there is no further data indicating whether Apple will address memory expansion. The new iPad Pro models will be equipped with 8GB or 16GB of DRAM, depending on the specific model.

The new neural network engine integrated in M4 chip has 16 cores, capable of running at a speed of 380 trillion operations per second, which is 60 times faster than the first neural network engine on the Apple A11 Bionic chip.

Additionally, M4 chip adopts a revolutionary display engine designed with cutting-edge technology, achieving astonishing precision, color accuracy, and brightness uniformity on the Ultra Retina XDR display, which combines the light from two OLED panels to create the most advanced display.

Apple’s Senior Vice President of Hardware Technologies, Johny Srouji, stated that M4’s high-efficiency performance and its innovative display engine enable the iPad Pro’s slim design and groundbreaking display. Fundamental improvements in the CPU, GPU, neural engine, and memory system make M4 a perfect fit for the latest AI-driven applications. Overall, this new chip makes the iPad Pro the most powerful device of its kind.

• 2024 Marks the First Year of AI PC Era

Currently, AI has emerged as a superstar worldwide. Apart from markets like servers, the consumer market is embracing a new opportunity–AI PC.

Previously, TrendForce anticipated 2024 to mark a significant expansion in edge AI applications, leveraging the groundwork laid by AI servers and branching into AI PCs and other terminal devices.  Edge AI applications with rigorous requirements will return to AI PC to dispersing the workload of AI servers and expand the possibility of AI usage scale. However, the definition of AI PC remains unclear.

According to Apple, the neural engine in M4 is Apple’s most powerful neural engine to date, outperforming any neural processing unit in any AI PC available today. Tim Millet, Vice President of Apple Platform Architecture, stated that M4 provides the same performance as M2 while using only half the power. Compared to the next-generation PC chips of various lightweight laptops, M4 delivers the same performance with only 1/4 of the power consumption.

Meanwhile, frequent developments from other major players suggest an increasingly fierce competition in AI PC sector, and the industry also holds high expectations for AI PC. Microsoft regarded 2024 as the “Year of AI PC.” Based on the estimated product launch timeline of PC brand manufacturers, Microsoft predicts that half of commercial computers will be AI PCs in 2026.

Intel has once emphasized that AI PC will be a turning point for the revival of the PC industry. In the industry highlights of 2024, AI PC will play a crucial role. Pat Gelsinger from Intel previously stated on a conference that driven by the demand for AI PC and the update cycles of Windows, customers continue to add processor orders to Intel. As such, Intel’s AI PC CPU shipments in 2024 are expected to exceed the original target of 40 million units.

TrendForce posited AI PCs are expected to meet Microsoft’s benchmark of 40 TOPS in computational power. With new products meeting this threshold expected to ship in late 2024, significant growth is anticipated in 2025, especially following Intel’s release of its Lunar Lake CPU by the end of 2024.

The AI PC market is currently propelled by two key drivers: Firstly, demand for terminal applications, mainly dominated by Microsoft through its Windows OS and Office suite, is a significant factor. Microsoft is poised to integrate Copilot into the next generation of Windows, making Copilot a fundamental requirement for AI PCs.

Secondly, Intel, as a leading CPU manufacturer, is advocating for AI PCs that combine CPU, GPU, and NPU architectures to enable a variety of terminal AI applications.

Read more

• [News] Apple M4 Incoming, Boosting TSMC’s 3nm Production
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(Photo credit: Apple)

TrendForce has released the latest panel quotations for early May. TV panel prices showed signs of stabilization as increased supply capacity mitigates the upward trend. Meanwhile, monitor (MNT) panel prices maintain their upward trajectory, driven by the market’s robust demand. However, challenges persist in forming a consensus for price increases in the notebook (NB) panel sector, resulting in relatively lower price level.

More details are as follows:

• TV

After May, the momentum of stocking up on television panels starts to weaken, particularly in the medium-sized and small-sized television panels due to decreased demand. As a result, the momentum for overall panel price increases tend to gradually slow down.

Whether panel manufacturers will once again initiate their strategy of producing on-demand over the next two months, thereby correcting the high-end utilization rate of over 80% to support the trend in panel prices, will be a key point for observation in the near term.

Looking at the price increases of television panels in May, it is expected that the prices for 32-inch, 43-inch, and 50-inch will stabilize, while 55-inch panels will increase by 1 USD and 65-inch and 75-inch will increase by 3 USD.

• MNT

With regard to MNT panels, demand from brands remains robust. On the other hand, panel manufacturers’ urgent desire to boost panel prices as much as possible during this wave of price increases, driven by aim to achieve a turnaround in the deficit situation for MNT panels, also helps on the relatively proactive stance towards the panel price trend in May.

Currently, it is expected that in May, the prices of MNT panels will increase. Open Cell panels are expected to rise by 0.5 to 0.7 USD. Among panel modules, the 21.5-inch is expected to increase by 0.5 USD, the 23.8-inch by 0.6 USD, and the 27-inch panel by 0.5 USD.

• NB

Looking at NB panels, although demand for panels has started to pick up noticeably compared to the first quarter, rebounding from the seasonal downturn, the increase is still lower than initially expected. This reflects the high uncertainty among brand customers regarding future end-demand, making it difficult for clear signals of panel price increases to emerge.

Panel manufacturers also find it challenging to establish a strong and consistent consensus on panel pricing strategy due to the lower-than-expected growth in demand.

It is currently expected that in May, the prices of NB panels will see only a slight increase. For HD TN models, where supply is limited and demand is relatively good, coupled with lower prices, there is a chance of a marginal increase of 0.1 USD.

For FHD IPS models, where there are more suppliers and fiercer competition, some panel manufacturers hope to follow the price increase of HD TN models and raise prices by 0.1 USD as well. However, this still depends on the attitude of brand customers.

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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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(Photo credit: Apple)