Modular, DIY-friendly Framework Laptop gets updated with 12th-gen Intel CPUs

'We were fans of the Framework Laptop when we reviewed it last year. This was partly because its modular design prioritizes repairability and upgradeability when most other laptops don't. But we also liked it because you didn't need to make huge tradeoffs to get that repairability—the Framework Laptop is lightweight and has a high-quality screen, keyboard, and touchpad, helping it stay competitive with big-box thin-and-light laptops like Dell's XPS 13 and the Lenovo ThinkPad X1 Carbon. An upgradeable laptop is only worthwhile if you can actually upgrade it, though, and Framework is making that possible starting today: The company is introducing a new iteration of the Framework Laptop's motherboard that uses 12th-gen Intel CPUs. A brand-new 12th-gen Framework Laptop starts at $1,049 for a Core i5-equipped base model, or $819 for a build-it-yourself kit with no memory or storage. These products will be available for preorder starting today, and shipping will start in July. [...] While many of Framework's PCs will run Windows, the company boasts that the 12th-gen version of its laptop "continue[s] to focus on solid Linux support." Framework recommends Fedora 36 because it "works fantastically well out of the box" and fully supports the Framework Laptop's new CPUs, its Wi-Fi card, and its fingerprint reader. For now, though, you'll need to be careful about installing other Linux distributions—you need Linux kernel version 5.17.6 or newer to fully support Alder Lake's hybrid CPU architecture, and prominent, actively maintained distributions like Ubuntu 22.04 don't include that kernel version out of the box. This problem will disappear for most Linux distros within the next few months, but for now you may need to upgrade the kernel manually to get the best-possible Linux experience on the Framework Laptop. -- source: https://arstechnica.com/gadgets/2022/05/modular-diy-friendly-framework-lapto... Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 (office) +64 (7) 577-5304 (home office) https://www.cs.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/
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Peter Reutemann