Framework
3.7K posts
Framework
@FrameworkPuter
Remaking consumer electronics to respect people and the planet. 💻🪛 For support visit https://t.co/OcUxJ6ebU3
San Francisco Katılım Ocak 2020
219 Takip Edilen109K Takipçiler
@vmfunc Hi, we don't have a dedicated phone line for support but please create a ticket here so we can investigate: frame.work/support
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Framework retweetledi
The only thing you need to run giant, capable LLMs is the Framework Desktop. And if you add Forgework.shop tiles to it, it ads 20 horse power.
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@SpaceReptile1 We're also the ones who always let you bring your own memory and storage, so you can buy it at whatever price you can find it at.
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@FrameworkPuter arent you the guys that sold ram and storage at 2x retail in the configurator before this whole shortage started?
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In case you missed it live, we’ve posted a recording of our video on modding Framework Laptops and Desktops with 3D printing. It was a fun stream! youtu.be/V7CnaT-BfSo?si…
YouTube
Framework@FrameworkPuter
Catch our next deep-dive livestream Q&A! This Friday, March 13 at 11 AM PT, Izzie, our Hardware PM, will join Framework founder and CEO Nirav to discuss 3D printing and how Framework supports DIY makers. youtube.com/watch?v=hGB7kY…
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Framework retweetledi
Fedora Workstation 44 Beta Benchmarks On The @AMD @AMDRyzen AI Max @FrameworkPuter Desktop
phoronix.com/review/fedora-…
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@mlarkin2012 @AIatAMD You can also run it easily on Linux, which is what we usually do in Framework. Setting up on Ubuntu or Fedora is pretty simple.
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@FrameworkPuter @AIatAMD Why would you run this stack on Windows though?
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The team at @AIatAMD just published their Best Known Configs for running Openclaw fully locally, and look whose hardware they featured! amd.com/en/resources/a…
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Catch our next deep-dive livestream Q&A! This Friday, March 13 at 11 AM PT, Izzie, our Hardware PM, will join Framework founder and CEO Nirav to discuss 3D printing and how Framework supports DIY makers. youtube.com/watch?v=hGB7kY…
YouTube
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Don't let AI service providers dilute the meaning of "local". If it can't run offline on compute and data you actually own, it's not a Personal Computer.
Perplexity@perplexity_ai
Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
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@FARLabsAI @Pirat_Nation Doing the best we can to keep you informed.
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@Pirat_Nation AI driving up DDR5 costs is tough on everyone, but Framework's transparency here is appreciated.
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Framework raised DDR5 prices again, now $13–$18 per GB depending on capacity.
A few laptop configurations (especially on the Framework Laptop 16) have updated pricing after lower-cost stock sold out.
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We're keeping to roughly a monthly cadence on price updates to reflect increasing costs on memory and storage. We have the latest updates in our blog post here: frame.work/blog/updates-o…
Framework@FrameworkPuter
Both DDR5 and LPDDR5x costs continue to increase, and we've had to update pricing again today. As before, we are setting DDR5 prices as close as possible to our purchase price, and absorbing some of the increase on LPDDR5x.
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@JoelDeTeves @MichaelDell @Lenovo We do, Framework Desktop has up to 128GB of LPDDR5x on a wide memory bus for stuff like this: x.com/FrameworkPuter…
Framework@FrameworkPuter
One of the coolest uses of @lmstudio and @AIatAMD is using LM Link to have a Framework Desktop be a remote inference server for a laptop, including something little like Framework Laptop 12. It feels native on the laptop, but gets the desktop’s performance.
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With all this hype around Apple unified memory being used for local inference is there some reason PC makers like @MichaelDell @lenovo @FrameworkPuter don’t offer the same?
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Framework retweetledi
We asked 704 people what they want from a modular USB-C hub. They told us. Here's what we learned, and what we're building because of it.
Interactive charts, real quotes, and our honest roadmap: hwlab.io/blog/704-respo…
#DockFrame #OpenHardware #Framework #USBHub #opensource
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Framework retweetledi
youtu.be/F8aOOp8VxFs
Fast finetuning of LLMs like Gemma-3 on @AIatAMD Strix Halo (@FrameworkPuter Desktop) using Unsloth and distributed multi-node training.
YouTube
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