Skip to main content
  1. Home
  2. Computing
  3. News

Intel’s next laptop CPUs could get a huge cache upgrade with Razor Lake

Razor Lake is rumored to bring bLLC to mobile chips, while an earlier N2X claim has already been revised to N2P V2

Add as a preferred source on Google
Electronics, Hardware, Computer Hardware
Slejven Djurakovic / Unsplash

Intel’s future laptop chips could be in line for a much bigger cache. Leaker Jaykihn says Razor Lake will include mobile SKUs with bLLC, or Big Last Level Cache, potentially extending Intel’s large-cache strategy to notebooks.

There’s already reason to be cautious with the details. Jaykihn initially identified TSMC’s N2X process for Razor Lake before correcting the claim to N2P V2. Intel hasn’t announced Razor Lake or confirmed either specification, so this remains a very early look at the generation.

Razor Lake will come with bLLC mobile SKUs.

— Jaykihn (@jaykihn0) August 18, 2026

Why bLLC could matter on laptops

bLLC would give selected processors a much larger pool of last-level cache. Nova Lake is expected to introduce the technology on desktop chips, while mobile processors could have to wait for Razor Lake.

Recommended Videos

The obvious comparison is AMD’s X3D lineup, which has already made extra cache a major selling point for gaming CPUs, including some laptop models. Intel bringing its own large-cache design to notebooks could give future gaming laptops another architectural upgrade beyond higher clocks and core counts.

There’s no reason to assume X3D-like gains yet. The leak doesn’t include cache sizes or performance targets, which leaves the real-world payoff completely open.

What N2P V2 actually means

The corrected process claim is harder to pin down. TSMC publicly documents N2P as an enhanced version of N2, but its current material doesn’t list a process called “N2P V2.”

That makes Jaykihn’s revised label difficult to interpret from public information alone. Until Intel or TSMC provides more detail, N2P V2 is better treated as terminology from the leak rather than the name of an officially announced TSMC process.

What still needs confirming

Razor Lake is far enough away that both the cache configuration and manufacturing details could still change. The quick correction from N2X to N2P V2 is a good reminder of how fluid early CPU leaks can be.

The more useful thing to watch is whether Intel eventually confirms bLLC for mobile chips. If that survives into shipping Razor Lake hardware, high-end laptops could be getting a far more interesting cache upgrade than another routine generational refresh.

Paulo Vargas
Paulo Vargas is an English major turned reporter turned technical writer, with a career that has always circled back to…
What’s the Right Laptop for a Student on a $1,000 Budget?
The best college laptop isn't the one with the longest spec sheet. It's the one that fits your budget and the way you'll actually use it.
Dell XPS 14 Review: Sticker

This post is brought to you in paid partnership with Dell

Buying a laptop for college isn't a decision made in isolation. Tuition, textbooks, housing, meal plans, transportation, and course materials all compete for the same budget, leaving most families with one question before the semester begins: how much is enough to spend on a laptop without paying for features that may never get used?

Read more
Siri is about to hear everything you say, but Apple’s privacy approach has me cautiously on board
Apple's new Audio Intelligence features want to hear almost everything you say. A privacy document released alongside them explains why I am mostly okay with that.
Apple Watch Audio Intelligence features

Apple used its September 2026 launch event to enter a feature category it has mostly avoided until now: ambient listening. Siri Recap, Live Rewind, Music Recognition with Shazam, and Sound Recognition all landed on the Apple Watch Series 12 and Apple Watch Ultra 4. All four depend on the watch microphone picking up sound around you far more often than any previous Apple product has.

Siri Recap listens for conversations throughout your day and turns them into short AI summaries you can check later. Live Rewind is smaller in scope but arguably more useful day-to-day. It transcribes the last 15 seconds of whatever was just said with a double-press of the crown. This is perfect for catching a name, a book title, or directions you missed the first time. Music Recognition uses Shazam to identify songs playing nearby without you lifting a finger, much like Now Playing on Google's Pixel devices. Sound Recognition is a useful accessibility feature that listens for sirens, doorbells, and alarms to alert users who have a hearing impairment.

Read more
Can You Turn a Mini PC Into a Local AI Agent?
Furniture, Table, Computer

This post is brought to you in paid partnership with MSI

Not every AI task needs the scale of the cloud. An employee searching company documents, a retail kiosk answering product questions, or a digital sign reacting to customer behavior all need fast responses, but they don't necessarily need to send every prompt to a remote data center. Running those workloads locally reduces latency, keeps sensitive information closer to where it's generated, and can lower the ongoing cost of AI deployments. As a result, many organizations are moving toward hybrid AI architectures that handle routine requests on-device while reserving cloud models for tasks that genuinely need more processing power.

Read more