According to CTEE, NVIDIA’s forthcoming AI server, the GB200 (B100), slated for a 2024 release, has entered the certification phase in the supply chain. Recent market rumors suggest that Foxconn, originally intended to secure orders for the B100 board, faced certification challenges. As a result, Wistron has maintained its initial order share.

Additionally, it is worth noting that Ingrasys, a subsidiary of Foxconn, is actively manufacturing the H100 product and is a strong contender to secure orders.

Unofficial sources indicate that NVIDIA initially considered making Foxconn the second supplier for AI-GPU server baseboard in the upcoming B100 series. However, due to yield concerns and other factors, Wistron is still expected to receive 100% of the orders. Wistron has also capitalized on the opportunity to secure orders for the front-end AI-GPU module, which appears to be a successful move.

The rapid evolution of AI has intensified competition among assembly plants. Wistron and Foxconn play crucial roles as suppliers for NVIDIA’s current mainstream H100 series GPU modules and baseboards.

Wistron, as the exclusive supplier for H100 baseboards in the NVIDIA DGX and HGX architectures, also holds the exclusive role of providing mainboards and assembling AI servers for DGX. As shipments of the H100 series AI servers, built on the NVIDIA DGX and HGX frameworks, steadily increase in the latter half of the year, Wistron’s AI server-related product business shows consistent growth.

It’s worth noting that Ingrasys is responsible for manufacturing the H100. NVIDIA’s founder, Jensen Huang, and Foxconn’s Chairman, Young Liu, jointly attended a technology event, highlighted the close collaboration in between, underscoring Foxconn’s determination to secure B100 orders.

(Image: Wistron)

At this year’s Qualcomm Snapdragon Summit, the company announced its latest PC processor, the Snapdragon X Elite. With impressive performance metrics, this development is poised to shake up the PC processor market as Arm architecture gains ground, posing a substantial challenge to the established x86 architecture.

At this year’s Qualcomm Snapdragon Summit, the company announced its latest PC processor, the Snapdragon X Elite. The launch of laptops featuring the Qualcomm Snapdragon X Elite is expected in mid-2024, marking an opportune moment for a “counteroffensive.”

TrendForce indicates that Arm architecture PC processors have secured around an 11% market share this year, primarily propped up by Apple’s laptop processors. Industry insiders reveal that, in light of the growth potential in the PC processor market, semiconductor giants are increasingly adopting ARM architecture to venture into the market.

2024 Sees Laptop Upgrade Surge, Desktop Market Shrinks                  

Statistics reveal that the surge in remote work during 2020 prompted a shift in consumer preferences from desktop computers to laptops. Moreover, the ongoing establishment of cloud platforms by businesses in 2021 and 2022 has generated positive momentum, signaling a shrinking desktop market and an expanding PC market.

AI-powered PCs and Windows 12 next year are expected to ride a fresh wave of upgrades in 2024. Therefore, when PCs featuring ARM architecture become widespread, Intel and AMD may not be predominantly affected in the laptop processor business based on the x86 architecture. Instead, the desktop processor segment could face the most significant impact.

Kedar Kondap, Qualcomm’s Senior Vice President and General Manager of the Compute and Games Division, foresees an upgrade wave fueled by AI PCs next year, with further growth anticipated in 2025. It is expected that consumers will lean towards AI PCs for their next computer purchases.

The initial wave of products equipped with Qualcomm’s AI PC processors has been unveiled, aligning with the upcoming wave of device upgrades in next year. While Intel is set to launch its first AI acceleration engine, the Intel Core Ultra, featuring integrated NPU in December, its Microsoft Windows 12 certification remains a point of observation.

In a broader perspective, Intel and AMD are positioned to follow up with the AI PC trend by 2025. This coincides with the ending service of Windows 10 and the gradual implementation of Wifi 7 and 6G technologies. By 2028, they are expected to play a pivotal role in driving AI PC growth.

On another note, a South Korean analyst anticipates that the growth momentum in AI PCs hinges on when Apple incorporates AI features into Mac computers.

ARM vs. x86, Microsoft’s Crucial Role                                    

This is because Microsoft is set to launch Windows 12 next year, featuring the built-in Copilot AI assistant. It will collaborate with operating systems and software such as Windows, Edge, Microsoft 365, Outlook, and the Bing search engine, ushering in an entirely new AI-driven user experience.

Several tech giants are fiercely competing in the AI PC market, with NVIDIA and AMD investing in the development of Arm architecture processors. It’s worth mentioning that in 2016, Microsoft agreed to let Qualcomm exclusively develop Windows-compatible chips, and this agreement is set to expire in 2024. Consequently, Qualcomm may gain a strategic advantage. In contrast, the collaboration between NVIDIA and MediaTek on Arm processors might only begin to bear fruit in 2025.

As for AMD’s foray into Arm architecture research and development, whether this indicates a less optimistic outlook for the x86 market is a matter for ongoing observation. Intel CEO Pat Gelsinger expressed that he isn’t concerned about Arm architecture processors vying in the PC market. From a different perspective, Intel may even consider assisting with manufacturing.

(Image: Qualcomm)

As Jiwei reported, AMD, although trailing NVIDIA in AI, has recently clinched significant deals, earning the trust of two major clients, Oracle and IBM. Oracle plans to integrate AMD’s Instinct MI300X AI chips into their cloud services, complemented by HPC GPUs. Additionally, as per insights from Ming-Chi Kuo, TF International Securities analyst, IBM is set to leverage AMD’s Xilinx FPGA solutions to handle artificial intelligence workloads.

Oracle’s extensive cloud computing infrastructure faces challenges due to a shortage of NVIDIA GPUs. Nonetheless, Oracle maintains an optimistic outlook. They aim to expand the deployment of the H100 chip by 2024 while considering AMD’s Instinct MI300X as a viable alternative. Oracle has decided to postpone the application of their in-house chips, a project with a multi-year timeline. Instead, they are shifting their focus to AMD’s high-performance AI chip, the MI300X, well-regarded for its impressive capabilities.

Reports indicate that Oracle intends to introduce these processor chips into their infrastructure in early 2024.

Similarly, IBM is exploring chip options beyond NVIDIA. Their new AI inference platform relies on NeuReality’s NR1 chip, manufactured on TSMC’s 7nm process. AMD plays a pivotal role in NeuReality’s AI solution by providing the essential FPGA chips. Foxconn is gearing up for AI server production using this technology in the Q4 2023.

Guo also pointed out that, although Nvidia remains the dominant AI chip manufacturer in 2024, AMD strengthens partnerships with platform service providers/CSPs like Microsoft and Amazon while acquiring companies like Nod.ai. This positions AMD to potentially narrow the AI gap with Nvidia starting in 2025. This collaboration also affirms that AMD remains unaffected by the updated U.S. ban on shipping AI chips to China.

(Image: AMD)

The United States has elevated its efforts to curtail the advancement of high-end chips in China. As reported by the CLS News, various companies within China have indicated they received advance notifications and have already amassed chip stockpiles. Analysts suggest that this new wave of bans implies a further restriction by the U.S. on China’s computational capabilities, making the development of domestically-manufactured GPUs in China a matter of utmost importance.

According to the latest regulations, chips, including Nvidia’s A800 and H800, will be impacted by the export ban to China. An insider from a Chinese server company revealed they received the ban notice at the beginning of October and have already stockpiled a sufficient quantity. Nevertheless, they anticipate substantial pressure in the near future. The procurement manager for a downstream customer of Inspur noted that they had proactively shared this information and urged potential buyers to act promptly if they require related products.

Larger companies like Tencent and Baidu are less affected by the ban due to their ample stockpiles. On October 17th, HiRain Technologies announced that its subsidiary had purchased 75 units of H800 and 22 units of A800 from supplier A and had resolved this issue two weeks ago.

(Image: NVIDIA)

Source to China Times, in response to increased visibility in AI server orders and optimistic future demand, two ODM-Direct based in Taiwan, Wiwynn, and Quanta, are accelerating the expansion of their server production lines in non-Chinese regions. Recently, there have been updates on their progress. Wiwynn has completed the first phase of its self-owned new factory in Malaysia, specifically for L10. As for Quanta, has further expanded its L10 production line in California, both gearing up for future AI server orders.

Wiwynn’s new server assembly factory, located in the Senai Airport City in Johor, Malaysia, was officially inaugurated on the 12th, and it will provide full cabinet assembly services for large-scale data centers. Additionally, the second phase of the front-end server motherboard production line is expected to be completed and operational next year, allowing Wiwynn to offer high-end AI servers and advanced cooling technology to cloud service providers and customers in the SEA region

While Wiwynn has experienced some slowdown in shipments and revenue due to its customers adjusting to inventory and CAPEX impacts in recent quarters, Wiwynn still chooses to continue its overseas factory expansion efforts. Notably, with the addition of the new factory in Malaysia, Wiwynn’s vision of establishing a one-stop manufacturing, service, and engineering center in the APAC region is becoming a reality.

Especially as we enter Q4, the shipment of AI servers based on NVIDIA’s AI-GPU architecture is expected to boost Wiwynn’s revenue. The market predicts that after a strong fourth quarter, this momentum will carry forward into the next year.

How significant is the demand for AI servers?

According to TrendForce projection, a dramatic surge in AI server shipments for 2023, with an estimated 1.2 million units—outfitted with GPUs, FPGAs, and ASICs—destined for markets around the world, marking a robust YoY growth of 38.4%. This increase resonates with the mounting demand for AI servers and chips, resulting in AI servers poised to constitute nearly 9% of the total server shipments, a figure projected to increase to 15% by 2026. TrendForce has revised its CAGR forecast for AI server shipments between 2022 and 2026 upwards to an ambitious 29%.

Quanta has also been rapidly expanding its production capacity in North America and Southeast Asia in recent years. This year, in addition to establishing new facilities in Vietnam, they have recently expanded their production capacity at their California-based Fremont plant.

The Fremont plant in California has been Quanta’s primary location for the L10 production line in the United States. In recent years, it has expanded several times. With the increasing demand for data center construction by Tier 1 CSP, Quanta’s Tennessee plant has also received multiple investments to prepare for operational needs and capacity expansion.

In August of this year, Quanta initially injected $135 million USD into its California subsidiary, which then leased a nearly 4,500 square-meter site in the Bay Area. Recently, Quanta announced a $79.6 million USD contract awarded to McLarney Construction, Inc. for three construction projects within their new factory locations.

It is expected that Quanta’s new production capacity will gradually come online, with the earliest capacity expected in 2H24, and full-scale production scheduled for 1H25. With the release of new high-end AI servers featuring the H100 architecture, Quanta has been shipping these products since August and September, contributing to its revenue growth. They aim to achieve a 20% YoY increase in server sales for 2023, with the potential for further significant growth in 2024.