MS-S1 MAX

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-

My minisforum ms-s1 max 128GB can run 120B models no problem. Generates it faster than you can read it. Using LM Studio. Set it to 96GB VRAM and you still have 32GB system RAM left over. Just did a couple tests. About 45 tokens/sec

Sharing my limited research on workstation. VRAM matters more than speed of the GPU unit -- so newer does not necessary mean better -- as long as the model fits in the VRAm, that will be fastest - tokens per seconds. I believe DGX spark is good option, but workstation PC will be better in general. (

It depends on your use-case. If you need long context and are working on things like local coding, then the prompt processing on the Mac will make your experience worse. However if you're only serving inference with sub 100k context, then the TG on the Mac makes up for it. Mac is also better at clus

Minisforum MS-S1 Max 128GB (Strix Halo) + RTX 3090 on Oculink eGPU dock. = ~$4500. This configuration is ~100GB of VRAM total (not for a single model), 24GB of it is fast, and it's a solid configuration for fully local orchestration + multiple agent workers. With the new MTP optimizations, 20-25 tp/

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

I have 3, 3 different machines. Same processor, same memory, 128Gb. https://www.gmktec.com/products/amd-ryzen%E2%84%A2-ai-max-395-evo-x2-ai-mini-pc?srsltid=AfmBOora2-dt5AKlG0sAXmT6LYm6bZ8GVZtxE5mRlfFN5SJn6JCKAQF9&variant=64bbb08e-da87-4bed-949b-1652cd311770 https://www.bee-link.com/products/beelink-

For a more detailed NoteBookCheck review One of the most powerful mini PCs of 2025! Minisforum MS-S1 Max review - AMD Strix Halo Power, 128 GB RAM & Radeon 8060S for professionals & AI

Minisforum MS-S1 MAX ($2,299.00) > GMKTec EVO-X2 ($1,999.00) for this "processor". At least after the tests I've seen. But that's easy to say.

Buying an MS-S1 Max for C++ development is like buying a Bugatti for your work commute Because C++ compilers won't even look at the GPU? They love cores and RAM though. That's what grabbed my attention. But I am very early in my selection process. My current "mainframe" is a headless HM90 with 32 GB