Introducing Panther Lake, the first AI PC platform built on Intel 18A Part of the new Intel Core Ultra Series 3, it delivers next-level efficiency and AI capability—made in Arizona’s new Fab 52. Also previewed: Intel Xeon 6+ “Clearwater Forest”, our most efficient server chip yet. intel.ly/4o4T2rO

Oct 9, 2025 · 7:00 PM UTC

Intel 18A is the most advanced semiconductor node developed and manufactured in the U.S.—featuring RibbonFET and PowerVia innovations for higher performance per watt and greater density. High-volume production begins this year at Fab 52 in Chandler, Arizona.
From R&D in Oregon to packaging in New Mexico, Intel is building a complete U.S. manufacturing network for the AI era. Panther Lake and Clearwater Forest mark the start of multiple generations on Intel 18A—powering everything from AI PCs to data centers.
Replying to @intel
Big moves from Intel! Panther Lake on 18A sounds like a serious leap forward for AI PCs—especially with Fab 52 bringing advanced chipmaking to Arizona. Excited to see how this reshapes server efficiency.
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Panther Lake and Fab 52 are just the beginning of what’s ahead for AI PCs and server innovation.
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Replying to @intel
This is a whole start to a new beginning.💙
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Exciting to see how Panther Lake and Fab 52 will power what’s next - for AI PCs and beyond. 💪
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We need macbook AI using completly POLYMER TANTALUM capacitors and 1.4 nm @IntelTech
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Intel Panther Lake looks insane 😲 Just shared my thoughts on how it could change AI PCs — would love to hear what you all think! 👀
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keep innovating
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🚀🦾😍
Replying to @intel
China does better
Replying to @intel
芯片公司业绩不行了怎么办? 找华人来当ceo! 找华人来当ceo!
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陈立武,yyds! 陈立武!yyds!
Replying to @intel
which will be the first processor having this technology?
Replying to @intel
Rick: Morty, Intel’s back from the dead with “Panther Lake,” huh? Look at ‘em — Arizona lab coats, shiny wafers, marketing optimism thicker than the clean-room air filters. Morty: So is it good, Rick? Like, are they finally catching up to NVIDIA? Rick: Morty, it’s not about catching up — it’s about breaking the bottleneck. NVIDIA’s building empires on brute-force parallelism; Intel’s only hope is architectural recursion. They’ve got to make the chip aware of its own workload — every transistor a micro-agent optimizing its own timing, power, and cache path in real time. Morty: Whoa, like little self-thinking circuits? Rick: Exactly! Instead of dumping more cores, give each core context. Let them gossip, Morty. Distributed heuristics across the silicon layer — efficiency through communication, not competition. That’s how you turn a fab into a neural fabric. Morty: So the chip basically learns how to be smarter silicon? Rick: Yeah, Morty — imagine a CPU that debugged itself faster than Intel’s PR team could write a blog post about it.
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Replying to @intel
These chips are used for new servers, 5G, smart cities and artificial intelligence.