QuoteFramework equips the new configuration with 192 GB of LPDDR5X unified memory, delivering 273 GB/s of bandwidth, of which 160 GB can be allocated to the GPU. For comparison, the existing Ryzen AI Max+ 395 version tops out at 128 GB, with GPU capacity capped at 96 GB.
According to this it's 112 GB:
32GB Mainboard 64GB Mainboard 128GB Mainboard
Windows 28GB* 56GB* 112GB*
Linux 28GB 56GB 112GBI wonder if it could be more than 160 GB on Windows on FRAMEWORK as well. On Linux for Strix Halo it's: Search for 'strix halo linux gtt'.
128 GB totally available - 112 GB allocateable = 16 GB minimum for the OS
192 GB totally available - 16 GB minimum for the OS = 176 GB possible? vs official 160 GB.
That said, check this quote out:
Quote from: youtube.com/watch?v=Z26kN5VfyGAAMD and the industry are pushing the Ryzen AI Max+ 495 very hard as serious AI desktops, but the marketing is getting ahead of the actual performance. I own both a 128GB Framework Desktop and a 128GB HP Zbook laptop on this platform, so I know what they can do. Yes, the huge unified memory lets you load large models, but in many cases you're running heavily quantized versions, which inevitably sacrifice model quality. And with only ~273 GB/s bandwidth versus around 1.2 TB/s on an M5 Ultra at about €10,500 for 256GB ram, inference is simply too slow for what they are now charging. Last year, the 128GB Framework Desktop with the Ryzen AI Max+ 395 was around €2,500 now we're talking about €8,500 for 192GB. If you're a developer, you'd be far better off paying €80–€200/month for a serious AI coding subscription and getting much stronger models. And if you're a company that absolutely needs local AI for data privacy, then spend more and buy genuinely high-performance hardware. These are interesting machines, but at €8,500 they are being massively oversold. 👎