At the same time, Intel is heavily relying on node variants to address different use cases, including performance enhancements (P), feature enhancements (E), and through-silicon via support (T). These process technologies are required to enable Intel to build custom multi-chiplet products for consumer and data center applications, which directly support its strategy to produce most of its products at in-house fabs.
Intel's roadmap also includes continued investment in mature nodes such as Intel 16 and UMC 12 as the company pursues a strategy to capture demand outside leading-edge applications, to ensure steady revenue streams.
While Intel's plans are aggressive and ambitious, the abrupt cancellation of 20A in late 2024 highlights the execution risks associated with such a roadmap.
Samsung was the first company to adopt GAA transistors with its SF3E technology in 2022, three years before Intel and TSMC. However, low and unpredictable yields have limited the adoption of this technology to niche applications like cryptocurrency mining ASICs. While SF3 was more mature, it was still adopted by select applications, mostly internally. As a result, the highest-performing chips made by Samsung are produced using FinFET-based SF4P and SF4X, which puts the company behind its rivals.
For now, reducing defect density, increasing yields, and ensuring stable yields are the top priorities for Samsung. Last year, it began making mobile system-on-chips (SoCs) using its SF2 node (which it calls the 1 st Generation 2nm GAA process), but among the major goals for the company for this year is to ramp up '2 nd Generation 2nm [SF2P] and prepare performance and power-optimized 4nm process,' which suggests limited adoption of SF2. The fact that the low-power 4nm-class node will be a major workhorse for the company. The company's roadmap also indicates SF2X (HPC-oriented) in 2026 as well as SF2A (for automotive applications) and SF2Z (SF2X with BSPDN) in 2027, though we can only wonder whether these nodes will be widely adopted.
Nonetheless, Samsung's iterative approach to the evolution of its SF2 nodes (SF2=>SF2P=>SF2X=>SF2X with backside power) is evident, which gives us hope that the company's yields will gradually improve.
Samsung's next major node will be SF1.4, a 1.4nm-class process technology optimized for consumer and smartphone applications, which won't feature backside power delivery. Samsung's slides put SF1.4 above the SF3 and SF2 families, which may suggest that this manufacturing process will feature some major enhancements, such as a new GAA transistor design or other major refinements. Samsung expects to mass-produce chips on its SF1.4 technology in 2027, so it can formally leave Intel and TSMC behind with its 1.4nm node.
A big question lingers, and that's whether Samsung plans to finally start using pellicles with its EUV lithography tools starting with SF1.4, or later. A lack of pellicles greatly increases the number of potentially yield-killing stochastic mask-borne defects, which are increasingly dominant at the 2nm and are getting much worse at thinner nodes.
TSMC's roadmap remains the most structured and execution-focused among the three. The world's largest contract chipmaker initiated mass production of chips using its N2 process technology — its first node with GAA nanosheet transistors — at two fabs simultaneously late last year in a bid to meet demand from a wide range of applications, starting from Apple's smartphones and all the way to AMD's server-bound EPYC 'Venice' CPUs. Initiating volume production at two fabs simultaneously is something that rarely happens in the industry, though it looks like structural changes caused by demand from the AI segment are changing many things in the industry.
TSMC is on track to start making chips using performance-enhanced N2P with traditional frontside power delivery and A16 technology that adds backside power delivery on top, a split which highlights TSMC's increasingly segment-specific approach to leading-edge technologies.
Going forward, the company is set to continue offering advanced technologies with and without BSPDN, as this feature may be too expensive for consumer and smartphone applications, but is clearly valuable for heavy-duty data center processors. For example, A14 will emerge as a smartphone-oriented node in 2028, but then will re-emerge as a data center-oriented node once it gets BSPDN in 2029.
In addition, the company will continue to offer mainstream nodes like N4C, N3C, and eventually N2C for applications that are more sensitive to costs. Automotive-specific nodes (N7A, N5A, N3A) will lag leading-edge nodes by one to two generations, as they prioritize reliability and longevity over performance and transistor density.
TSMC's segmentation and yearly cadence for advanced manufacturing nodes enable the foundry to address the most demanding clients like Apple, AMD, Intel, Nvidia, or Qualcomm with competitive process technologies. Ultimately, such cadence and a wide range of nodes reinforce TSMC's position as the most predictable and commercially disciplined foundry.
To sum things up, TSMC continues to bet on execution discipline and segmentation as it ramps its 2nm-class node at two fabs to meet overwhelming demand from a variety of applications, starting from humble cell phones all the way to heavy-duty servers.
Intel leads in architectural ambitions, as currently it is the only company that uses a process technology that features both gate-all-around transistors and backside power delivery. However, the company admits that its yields will only get to world-class level by 2027, which likely makes Intel's 18A node significantly less attractive to demanding customers.
Samsung sits somewhere in the middle, offering a wide variety of process technologies for different applications, but the company's yields with GAA-based nodes have been a challenge, which is why the firm is now focused on yield increases rather than on breakthroughs, so it does not attempt to leapfrog its competitors.
Anton Shilov is a contributing writer at Tom\u2019s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends. ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-23/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Anton Shilov Social Links Navigation Contributing Writer Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/semiconductors/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/semiconductors/leading-edge-foundry-roadmaps-for-tsmc-intel-and-samsung-outlining-the-path-to-1-4nm-nodes-and-beyond#main
- https://www.tomshardware.com
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