MS-S1 MAX

Hi all, about 2 months ago I picked up the MS-S1 MAX and have been having an amazing time adapting my skillset from a web developer to tinkering AI lunatic. I've been custom building an inference platform with Proxmox running an LXC w/ a custom setup that manages "slots" each running a type of strix

The “Strix Halo is slow” argument is only really true for dense models, not for your setup. Since your workload is RAG plus summarization, MoE models are the better fit, and 128GB of unified memory is a very strong combination for that. GPT-OSS 120B can run at around 30 tokens per second, Qwen3-30B-

Minisforum MS-S1 Max (128GB / 2TB, has a PCIe x16 slot + USB4v2 + dual 10GbE) — seems like the most expandable I just received one of these last week and the expandability is the key reason I chose it over any of the other Strix Halo options. You do want to note that the PCIe is a x16 slot but has x

If 1080P gaming is your goal, it is an exceptional piece of hardware, but that is where the exceptional part ends when it comes to gaming. An RTX 5080 laptop has the absolute raw TDP and graphics hardware to obliterate strix halo. We aren't just talking double digit gaines here. we are talking about

Isn’t minisforum ms-s1 max based on the AMD Ryzen AI Max+ 395 combined with a powerful iGPU (AMD Radeon 8060S) - 40 cores ? I guess if you research for LLM inference benchmarks using vulkan on AMD Radeon 8060S - you should be seeing good numbers in terms of output tokens / second - which should be p

What a ridiculous post. It's not "a bit", and nothing justifies buying it at $3999 vs a Minisforum S1 Max at $2399. Training using the full Nvidia professional stack absolutely justifies it for a certain demographic. You're not it. Sounds gimmicky, for local, NVMe drives are fine and for connectivit

I wanted to post an update and let you know that the rear USB4 v2 port problem was not with the Minisforum MS-S1 MAX, but with the peripherals I was connecting to it. To make a long story short, the Insta360 Link 2 webcam was using aggressive internal compression to push 4K video through a USB 2.0 i

One thing you need to add in there is warranty, how long and what can be returned no questions asked time frame & actual warranty. They are all over the place on warranties. The MS-S1 beast workstation is where it's at, though,. With a PCIE 16 slot or discrete GPU option, clustering and 320watt, etc

The Minisforum MS-S1 Max has USBv2 (80 Gb/s) and works with TB eGPU docks like Razer: https://www.razer.com/de-de/gaming-egpus/razer-core-x-v2 There is also a detailed YouTube video about it: https://youtu.be/ilm4HFFFpsc That would be my first choice at the moment in order to have all options open.

I would love to see usb4 v2 (80Gbps) added to the mainboards too (desktop and/or laptop). The framework desktop is pretty compelling, but then I see it getting beat out io connectivity wise by minisforum ms-s1 max (usb 4 v2 + 10 GbE ethernet). Side note, but if framework could get into the egpu encl