New Framework Desktop Option with AMD Ryzen AI Max+ Pro 495 and 192GB Memory

andy99

I have a framework desktop w/ 128GB that I bought last Christmas and if I’m looking at it right it costs $2000 (CAD) more now because of the RAM shortage (and in any event is apparently out of stock). Would love to have 192 GB but I’m not sure I can justify buying another. Does anyone have a sense of how this might progress, e.g if I can get a 256 or 512 GB in a year if I wait. In any case I’m jealous this exists and I don’t have one. One last thing, I assume this isn’t exclusive and there will be other builds with this same config same as current Strix Halo?

iugtmkbdfil834

Mmm.. AI395 at 3.5k ( and out of stock mind ). And I still want to give it a shot when it is out. I suppose I just explained to myself the ridiculous jump in prices. The demand is crazy.

chrismorgan

No blog post, no order, no preorder; I think the only things about it are this sentence and a half: > 192GB coming soon > The most powerful Framework Desktop yet is coming soon with an AMD Ryzen™ AI Max+ PRO 495 processor and 192GB of LPDDR5X memory.

sam_lowry_

So... Can it sleep with echo mem >/sys/power/state? Abd wake up without crashing?

bakies

Memory bandwidth certainly is the bottleneck on my 395+ 128GB. It's been a great server. Think I'll wait another year maybe hopefully the prices come down and there's one more gen of hardware and local llm gets even better. Excited for this!

notdefio

Im less interested in the memory than the memory bandwidth. The current system with 128GB can load pretty big models, but its meaningless unless you want to wait 40 minutes per prompt. I've had best results with Qwen3.6-35B-A3B, which uses 40GB of memory, but only uses 3 billion parameters per token which helps with throughput. Until memory bandwidth significantly improves I just can't see myself wanting to use all that memory. Unless it's just to keep a wide variety of models in memory.

Hackbraten

> Seize the means of computation Feels like they blatantly ripped that off the title of a Cory Doctorow book [0]. [0]: https://en.wikipedia.org/wiki/The_Internet_Con

swiftcoder

Woof. What's that going to cost? And will we actually be able to buy one, because the 128GB model has been sold out pretty much since the LLM craze started...

artisinal

I understand their reasoning but it’s still a shame Framework opted for a proprietary motherboard instead of mini-ITX with a socket CPU and GPU. I value repairability over a little bit of extra performance.

paxys

Ryzen AI Max Plus Pro 495 How does a CEO read this and not immediately fire their entire marketing team?

egeozcan

I typed my (masked) email into the input, pressed tab and enter, it redirected me to some cloudflare captcha marketing site. I thought at first it didn't want the masked email, but then it worked when I clicked with my mouse. Apparently there are 3 invisible focus targets in between! Dear people who create websites, these things are important, they should work!

snvzz

Non-ECC memory. And into the trash it goes. Refer to https://news.ycombinator.com/item?id=48969530

swader999

Here's me wanting to drop thousands on this so I can save a few bucks a day by not having to call cloud llms for simple distillation tasks. Lol.

parsimo2010

Tl;dr: think hard about what you’d use this much RAM for in a desktop setting and do some research about how people like the 395 for your use case. Not all use cases work well. Anyone who thinks they are going to serve some 100+ GB LLM locally, remember that memory bandwidth becomes a key limitation for large models. While you might be able to load a model, token generation can be very slow. MoE models like Qwen3.5-122B-A10B work decently fast, but dense models of a decent size are slow and you won’t want to use them. I’ve got a 395 system, and found that I’m quite happy with Qwen3.6-35B-A3B, generating at around 50 t/s, but the dense 27B model is 20-25 t/s and that’s the lower limit I’m willing to tolerate. So a 70b dense model is just not going to happen. That means you can’t really use that much RAM. A reasonable use case is to have multiple smaller models loaded- you can have an image generation model loaded along with the text model. Or you can use this computer for development simultaneously with serving LLMs. Those ideas work okay. But trying to load up a single giant model is going to test your patience.

kibwen

Somewhat on-topic, if anyone here's received their Framework 13 Pro yet (which I believe began shipping this month), I'd be happy to hear a first-hand review.

fleventynine

This machine needs better networking options to be useful, such as built-in 100Gbit QSFP28. There is not enough space between the x4 PCIe slot and the power supply for a NIC to fit, and even if there was, you'd have to cut a hole in the back of the case to get at it.

binary132

What LLM / image / video models would this allow people to self-host that are worth it at the presumably somewhat low speed?

grigio

I'll wait for the AMD Zen6 Pro Max Ultra Elite model