If you happen to be a technology enthusiast, June would certainly be a month to watch. NVIDIA CEO Jensen Huang, joined by AMD CEO Lisa Su, visited Taiwan to announce their product roadmaps in COMPUTEX 2024. NVIDIA unveiled its new generation Rubin architecture, indicating that the R series products are expected to go into mass production in the fourth quarter of 2025.

On the other hand, AMD introduced its Ryzen AI 300 Series processors with the world’s most powerful Neural Processing Unit (NPU) for next-gen AI PCs, featuring a new Zen 5 CPU, as well as its latest AI chips, MI325X and MI350.

Interestingly enough, on 4 June, the world’s largest semiconductor foundry, TSMC, held its shareholders’ meeting in Hsinchu, Taiwan. When asked about the company’s relationships with NVIDIA and AMD, President C.C. Wei has reaffirmed TSMC’s strong relationships with the two tech giants, saying that the company will prosper with its clients.

What will be the highlights for TSMC’s progress in advanced logic process, and what are some of the most advanced products introduced in COMPUTEX made with TSMC’s advanced nodes? Please proceed to find out more. For now, TSMC’s 3nm seems to be the most popular node.

N3 Family

TSMC’s N3E (the more cost-effective second generation of the 3nm process) entered mass production in the fourth quarter of 2023. On the other hand, N3P (a more advanced version) is scheduled to enter mass production in the second half of 2024. Its yield performance is close to that of N3E, while customer product designs have already been tape-out.

TSMC states that due to N3P’s superior performance, better power consumption and area (PPA) characteristics, most 3nm products will eventually adopt the node. In the future, the industry may expect to see more high-end products manufactured with 3nm.

Regarding capacity, driven by the strong demand from HPC and mobile phone, TSMC has tripled its 3nm capacity in 2024 compared to that of 2023. However, as it is still not enough, the world’s largest semiconductor foundry has been striving to meet customer demand.

Intel’s Lunar Lake/ Arrow Lake

At COMPUTEX 2024, Intel CEO Pat Gelsinger introduced Lunar Lake, its latest AI PC chip, and thank its friend “TSMC” for their full support.

Starting Q3 2024 in time for the holiday season, Lunar Lake will power more than 80 new laptop designs across more than 20 original equipment manufacturers.

In a previous report by Wccftech, Gelsinger stated that Intel has collaborated with TSMC to power up its next-gen CPUs, adopting N3B, the first-generation 3nm process, for Lunar Lake and Arrow Lake.

NVIDIA’s Rubin

On the other hand, NVIDIA’s Rubin GPU architecture is now official: the Rubin GPU will feature 8 HBM4, while the Rubin Ultra GPU will come with 12 HBM4 chips, noted by Jensen Huang, CEO of NVIDIA.

Per a report from Wccftech, NVIDIA’s Rubin GPU is expected to utilize TSMC’s CoWoS-L packaging technology, along with its N3 process. Moreover, NVIDIA will use next-generation HBM4 DRAM to power its Rubin GPU.

Regarding NVIDIA’s previous GPUs, according to Commercial Times’ report, H200 and B100 reportedly are said to adopt TSMC’s 4-nanometer and 3-nanometer processes, respectively.

AMD’s MI 325X/ MI350

On 3 June, AMD CEO Lisa Su stated that the company’s relationship with TSMC is “very strong,” even as rumors have been circulating about a potential partnership with Samsung, TSMC’s main competitor.

AMD unveiled the company’s latest AI chip, MI325X, at the opening of COMPUTEX Taipei. Su emphasized that the MI325X boasts 30% faster computing speed compared to NVIDIA’s H200.

Furthermore, she also announced that AMD will release MI350 in 2025, which will be manufactured with TSMC’s 3nm process, while MI400 is expected to follow, launched in 2026.

When asked if AMD intended to procure chips manufactured using Samsung’s 3-nanometer (3nm) gate-all-around (GAA) process, Su reiterated AMD’s commitment to utilizing “the most advanced technology,” saying that AMD is certainly going to use 3 nm, 2 nm, and beyond. She also confirmed that there are several 3nm products currently being developed in collaboration with TSMC.

In addition to TSMC’s collaboration with clients on 3nm, this article also curates TSMC’s progresses on its 2nm node and other advanced processes. More information below:

N2 Family

The N2 process utilizes nanosheet transistors, thus would be able to offer superior energy efficiency. Currently, TSMC’s 2nm technology is progressing smoothly, with nanosheet conversion performance reaching the target of 90%, indicating that the yield exceeds 80%. Mass production is expected in 2025.

In the future, TSMC states that more members of the N2 family will emerge, including applications like N2P and N2X.

Read more

• [News] TSMC’s Advanced Packaging Capacity Fully Booked by NVIDIA and AMD Through Next Year
• [News] Samsung Reportedly Doing Its Utmost to Win 3nm GPU Orders from NVIDIA

(Photo credit: TSMC)

At TSMC’s North America Technology Symposium, per a report from TechNews, the semiconductor giant unveiled its A16 process, designed to accommodate more transistors, enhance computational performance, and reduce power consumption. Of particular interest is the integration of the Super PowerRail architecture and nanosheet transistors in the A16 chip, driving faster and more efficient development of data center processors.

As Moore’s Law progresses, transistors become smaller and denser, with an increasing number of stacked layers. It may require passing through 10 to 20 layers of fstacking to provide power and data signals to the transistors below, leading to increasingly complex networks of interconnections and power lines. When electrical signals travel downward, there is IR voltage drop, resulting in power loss.

In addition to power loss, the space occupied by power supply lines is also a concern. In the later stages of chip manufacturing, complex layout of power supply lines often occupies at least 20% of resources. Solving the problem of signal network and power supply network resource conflicts, and enabling component miniaturization, has become a major challenge for chip designers. The industry, per the report, is beginning to explore the possibility of moving power supply networks to the backside of the chip.

TSMC’s A16 employs a different chip wiring. The wires that deliver power to the transistors will be located beneath the transistors instead of above them, known as backside power delivery.

Source: TSMC

One of the methods to optimize processors is to mitigate IR drop. This phenomenon lowers the voltage received by the transistors, thus lowering performance. A16’s wiring is less prone to voltage drop, and similarly, Intel also introduced backside power delivery in Intel 20A, not only simplifying power distribution but also allowing for denser chip packaging. The goal is to fit more transistors into the processor to enhance computational power.

Transistors consist of four main components: the source, drain, channel, and gate. The source is where current enters the transistor, the drain is where it exits, and the channel and gate orchestrate the movement of electrons.

TSMC’s A16 directly connects the power transmission lines to the source and drain, making it more complex than other backside power delivery methods like Intel’s. However, TSMC states that the decision for a more complex design aims to enhance chip efficiency.

Using the Super PowerRail in A16, TSMC achieves an 10% higher clock speed or a 15% to 20% decrease in power consumption at the same operating voltage (Vdd) compared to N2P. Moreover, the chip density is increased by up to 1.10 times, supporting data center products.

Source: TSMC

A16 also incorporates NanoFlex, a type of nanosheet transistor. NanoFlex provides chip designers with flexible N2 standard components, serving as the fundamental building block for chip design. Components with lower height can save space and offer higher power efficiency, while those with higher height maximize performance.

Optimizing the combination of high and low components in the same design block allows for the adjustment of power consumption, performance, and area to achieve the best balance. This capability combines various transistor types with different power efficiency, speed, and size configurations. Flexibility enables customers to tightly integrate TSMC chips with their requirements, maximizing performance.

TSMC plans to debut NanoFlex in the 2-nanometer process, with mass production scheduled for 2025. A16 is expected to launch in the second half of 2026.

Read more

• [News] Battle of the Titans in the Angstrom Era – TSMC’s A16 Competes with Intel’s 14A and Samsung’s SF1.4
• [News] The Imminent Arrival of 2-Nanometer Advanced Process