According to TechNews’ report, there are recent rumors indicating that AMD’s next-generation chip, with the Zen5C architecture codenamed “Prometheus,” will adopt a “Dual Foundry Mode.” This means it will simultaneously utilize TSMC’s 3nm and Samsung’s 4nm processes. This move suggests that AMD aims to diversify chip manufacturing, avoiding reliance solely on TSMC for its upcoming products.

Industry sources suggest that factors such as geopolitical considerations, negotiation tactics, and the overall semiconductor manufacturing ecosystem drive the search for secondary sources. AMD’s decision to employ a dual foundry approach is likely a strategic move to mitigate risks in this dynamic landscape.

Reportedly, Samsung’s 4nm process will primarily be utilized for the base version of Prometheus, while TSMC’s 3nm process will be employed for the high-end variant of Prometheus.

EXTREMETECH finds AMD’s move intriguing, speculating that it might stem from uncertainty about sourcing all chips exclusively from TSMC. This is significant for Samsung, historically excluded from the consumer tech and gaming sector. Since NVIDIA switched from Samsung to TSMC for the production of Ampere GPUs using the 8nm process, Samsung has been left out of the equation.

If the collaboration between AMD and Samsung proves successful, other companies may also consider shifting to Samsung. Reports suggest that AMD’s choice of Samsung’s 4nm process over the 3nm process could be attributed to potential yield challenges.

While it’s uncertain whether AMD will indeed implement the “Dual Foundry Mode,” the anticipation for the Zen5 architecture next year is high. Samsung is currently ahead of the industry in the adoption of GAA (Gate-All-Around) technology for its manufacturing processes, introducing GAA technology with their 3nm process ahead of others in the industry. TSMC, on the other hand, is anticipated making a similar change no earlier than 2025.

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(Photo credit: AMD)

According to CNA’s news, the potential business opportunities in artificial intelligence have spurred major tech giants, with NVIDIA, AMD, Intel, MediaTek, and Qualcomm sequentially launching products featuring the latest AI capabilities.

This AI arms race has expanded its battleground from servers to smartphones and laptops, as companies hope that the infusion of AI will inject vitality into mature markets.

Generative AI is experiencing robust development, with MediaTek considering this year as the “Generative AI Year.” They anticipate a potential paradigm shift in the IC design industry, contributing to increased productivity and significantly impacting IC products.

This not only brings forth new applications but also propels the demand for new algorithms and computational processors.

MediaTek and Qualcomm recently introduced their flagship 5G generative AI mobile chips, the Dimensity 9300 and Snapdragon 8 Gen 3, respectively. The Dimensity 9300, integrated with the built-in APU 790, enables faster and more secure edge AI computing, capable of generating images within 1 second.

MediaTek points out that the smartphone industry is experiencing a gradual growth slowdown, and generative AI is expected to provide new services, potentially stimulating a new wave of consumer demand growth. Smartphones equipped with the Dimensity 9300 and Snapdragon 8 Gen 3 are set to be released gradually by the end of this year.

Targeting the AI personal computer (PC) market, Intel is set to launch the Meteor Lake processor on December 14. Two major computer brands, Acer and ASUS, are both customers for Intel’s AI PC.

High-speed transmission interface chip manufacturer Parade and network communication chip manufacturer Realtek are optimistic. The integration of AI features into personal computers and laptops is expected to stimulate demand for upgrades, leading to a potential increase in PC shipments next year.

In TrendForces’ report on November 8th, it has indicated that the emerging market for AI PCs does not have a clear definition at present, but due to the high costs of upgrading both software and hardware associated with AI PCs, early development will be focused on high-end business users and content creators.

For consumers, current PCs offer a range of cloud AI applications sufficient for daily life and entertainment needs. However, without the emergence of a groundbreaking AI application in the short term to significantly enhance the AI experience, it will be challenging to rapidly boost the adoption of consumer AI PCs.

For the average consumer, with disposable income becoming increasingly tight, the prospect of purchasing an expensive, non-essential computer is likely wishful thinking on the part of suppliers. Nevertheless, looking to the long term, the potential development of more diverse AI tools—along with a price reduction—may still lead to a higher adoption rate of consumer AI PCs.

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(Image: Qualcomm)

Rumors swirl around AMD’s upcoming chip architecture, codenamed “Prometheus,” featuring the Zen 5C core. As reported by TechNews, the chip is poised to leverage both TSMC’s 3nm and Samsung’s 4nm processes simultaneously, marking a shift in the competitive landscape from process nodes, yield, and cost to factors like capacity, ecosystem, and geopolitics, are all depends on customer considerations.

Examining yields, TSMC claims an estimated 80% yield for its 4nm process, while Samsung has surged from 50% to an impressive 75%, aligning with TSMC’s standards and raising the likelihood of chip customers returning. Speculation abounds that major players such as Qualcomm and Nvidia may reconsider their suppliers, with industry sources suggesting Samsung’s 4nm capacity is roughly half of TSMC’s.

Revegnus, a reputable X(formerly Twitter) source, unveiled information from high-level Apple meetings, indicating a 63% yield for TSMC’s 3nm process but at double the price of the 4nm process. In the 4nm realm, Samsung’s yield mirrors TSMC’s, with Samsung showing a faster-than-expected yield recovery.

Consequently, with Samsung’s significant improvements in yield and capacity, coupled with TSMC’s decision to raise prices, major clients may explore secondary suppliers to diversify outsourcing orders, factoring in considerations such as cost and geopolitics. Recent reports suggest Samsung is in final negotiations for a 4nm collaboration with AMD, planning to shift some 4nm processor orders from TSMC to Samsung.

Beyond AMD, the Tensor G3 processor in Google’s Pixel 8 series this year adopts Samsung’s 4nm process. Samsung’s new fabs in Taylor, Texas, sees its inaugural customer in its Galaxy smartphones, producing Exynos processors.

Furthermore, Samsung announced that U.S.-based AI solution provider Groq will entrust the company to manufacture next-generation AI chips using the 4nm process, slated to commence production in 2025, marking the first order for the new Texas plant.

Regarding TSMC’s 4nm clients, alongside longstanding partners like Apple, Nvidia, Qualcomm, MediaTek, AMD, and Intel, indications propose a potential transition to TSMC’s 4nm process for Tensor G4, while Tensor G5 will be produced using TSMC’s 3nm process. Ending the current collaboration with Samsung, TSMC’s chip manufacturing debut is anticipated to be delayed until 2025.

Last year, rumors circulated about Tesla, the electric vehicle giant, shifting orders for the 5th generation self-driving chip, Hardware 5 (HW 5.0), to TSMC. This decision was prompted by Samsung’s lagging 4nm process yield at that time. However, with Samsung’s improved yield, industry inclination leans towards splitting orders between the two companies.

The demand for TSMC’s CoWoS advanced packaging is skyrocketing. Following NVIDIA’s expansion confirmation in October, there are reports in the industry that major clients like Apple, AMD, Broadcom, Marvell, and others are also placing additional orders with TSMC.

To meet the demands of these five major clients, TSMC is fast-tracking the expansion of CoWoS advanced packaging capacity. Next year, the monthly capacity will increase by about 20% more than the original doubling target, reaching 35,000 wafers, reported by UDN News.

TSMC has not commented on the capacity deployment for CoWoS advanced packaging. Industry sources believe that the substantial orders from TSMC’s major clients indicate a widespread growth in AI applications, driving the demand for chips such as GPU and AI accelerators.

In response to the continuous increase in AI demand, TSMC had previously announced the doubling of CoWoS advanced packaging capacity expansion for next year but did not disclose the monthly production capacity. Industry reports suggest that TSMC’s CoWoS advanced packaging capacity next year will not only double but will also increase by an additional 20% from the original target, resulting in a total monthly capacity of 35,000 wafers.

NVIDIA currently stands as the main large customer for TSMC’s CoWoS advanced packaging, securing almost 60% of TSMC’s related capacity, which is used in its AI chips such as H100 and A100. Additionally, AMD’s latest AI chip products are in the mass production stage, and the upcoming MI300 chip, expected to launch next year, will adopt both SoIC and CoWoS advanced packaging.

At the same time, Xilinx, a subsidiary of AMD, has been a significant customer for TSMC’s CoWoS advanced packaging. With the continuous growth in AI demand, not only Xilinx but also Broadcom has started increasing orders for TSMC’s CoWoS advanced packaging capacity.

(Image: TSMC)

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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)