Intel 14A node expected to cost more than 18A due to high-na EUV

Intel´s CFO said the 14A node will carry higher wafer costs than 18A largely because it will use High-NA EUV tools. Intel says 14A also brings performance and power-efficiency gains enabled by RibbonFET 2, PowerDirect and Turbo Cells.

At Citibank´s Global 2025 TMT conference Intel chief financial officer David Zinsner said the company´s upcoming 14A process node is expected to be more expensive than 18A. Zinsner qualified the statement by saying the difference is not a large increase in investment spending but manifests as a higher wafer cost, driven in part by the plan to use High-NA EUV lithography tools on 14A, which were not used for 18A. The article indicates the specific cost of the Twinscan EXE:5200B High-NA EUV tool is not stated.

Intel will need to raise wafer prices to break even on the higher tool costs if it intends to attract external customers to 14A. That pricing implication follows directly from the higher per-wafer expense tied to High-NA EUV adoption. Zinsner´s comments frame the economic trade-off between deploying more advanced lithography equipment and preserving competitive wafer pricing for foundry or external customer engagements.

Technically, Intel claims 14A will deliver meaningful efficiency and performance improvements compared with 18A. The company projects roughly 15 to 20 percent better performance per watt, or a 25 to 35 percent reduction in power consumption. The node combines several process innovations: RibbonFET 2 updates Intel´s gate-all-around transistor architecture, PowerDirect relocates the power delivery network to the chip backside to feed transistor sources and drains more directly, and Turbo Cells are introduced as taller high-drive cells embedded in compact standard-cell libraries to shave critical timing paths and raise CPU and GPU frequencies without large area or power penalties. By contrast, further scaling of 18A is said to depend on more capable lithography tools with higher resolution so the node can avoid multi-patterning.

72

Impact Score

Microsoft and NVIDIA hint at N1X Windows 11 launch

Microsoft and NVIDIA signaled a joint Windows 11 push around the N1X, framing it as a new era of PC. The upcoming Arm chip is positioned to bring Copilot+ acceleration and challenge the fastest Windows processors in its class.

YouTube to automatically label Artificial Intelligence-generated videos

YouTube is shifting from voluntary disclosure to automated detection for significant photorealistic Artificial Intelligence-generated video content. Labels will become more visible across long-form videos and Shorts, with permanent markers for content made with YouTube tools or verified through provenance systems.

Axiom Math says its proofs reached peer reviewed journals

Axiom Math says proofs generated by its system have been accepted by several peer-reviewed journals, pairing machine-checkable formal proofs with human-authored papers. The development adds evidence that Artificial Intelligence tools are beginning to contribute to publishable mathematical research.

Google expands Gemini for Science

Google is rolling out Gemini for Science, a set of experimental tools aimed at compressing scientific work that would typically take months or years into days. The effort combines multi-agent research systems, computational discovery tools, literature analysis, and database-connected life science assistants.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.