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We tested Qwen3.8-Flash-Next on the MINISFORUM MS-S1 MAX-P495 AI Workstation, powered by AMD Ryzen™ AI Max+ PRO 495. 🤖 🚀 🛒 Learn more: 🇺🇸 US: 🇪🇺 EU: What would you like to test on it? #MINISFORUM #MSS1MAXP495 #LocalAI #AIWorkstation
11,118 görüntüleme • 15 gün önce •via X (Twitter)
12 Yorum

I bet it would run faster on my TensorFold engine. I sent you a dm a week ago.

Would love to run my Luna benchmark on it: 40 tool-calling prompts + a 24/7 local assistant test (llama.cpp ROCm). qwen3:30b-a3b scores best for me but doesn't fit in my 16GB VRAM, so 64GB+ unified memory is exactly the missing piece. I'd publish all the results. #LocalAI #MINISFORUM #AMD #ROCm #LocalLLM #AIAgents #SelfHosted

so, where are the test results? 😀

Way over priced

How many tokens per second? 🙃

Awesome, I'm currently running it on the MS-S1 Max - the extra RAM on the 495 would be a huge improvement for quants! Looking forward to seeing it.

Order it here 😍

Flash-Next is the easy warmup for the MS-S1 MAX — the real test is a 70B at Q4 sustained. The P495 SKU's spec that matters most: up to 192GB of unified memory, with the full pool usable for weights instead of being capped at dGPU VRAM.

Very expensive 🫰

🔥🔥🔥🔥

A Ryzen AI Max+ PRO 495 with unified memory is the interesting part here, not the model. What's the actual tokens/sec and memory bandwidth once the model exceeds the shared LPDDR pool?

A 30B MoE at Q4, with prompt processing reported separately






