่จปๅ†Šไธฆๅˆ†ไบซ้‚€่ซ‹้€ฃ็ต๏ผŒๅฏ็ฒๅพ—ๅฝฑ็‰‡ๆ’ญๆ”พ่ˆ‡้‚€่ซ‹็Žๅ‹ตใ€‚

David Hendrickson
@TeksEdge
CEO & Founder | PhD | Startup Advisor | @Columbia | Author Generative Software Engineering | ๐Ÿ”” Follow for AI & Vibe Coding Tips ๐Ÿ‘‡
ๅŠ ๅ…ฅ July 2023
552 ๆญฃๅœจ้—œๆณจ    12.5K ็ฒ‰็ตฒ
Someone finally spent ~$8,000 on the new 192GB Ryzen AI Max+ PRO 495 Minisforum and tested the crap out of it. He spent the weekend running DeepSeek, MiniMax, GPT-OSS and Qwen on it. Now he's boxing it back up and returning it. ๐Ÿ‘€ Interestingly, the machine works as intended. With llama.cpp/Vulkan ๐Ÿง  GPT-OSS 120B โ†’ ~58 tps ๐Ÿง  Qwen3.8 Flash-Next โ†’ ~28 tps ๐Ÿง  MiniMax M2.7 230B-A10B โ†’ ~31 tps ๐Ÿง  DeepSeek V4 Flash 284B-A13B โ†’ ~18 tps That 192GB unified memory does exactly what you want ๐Ÿ’พ Qwen3.8-27B @ 262K โ†’ 33.3GiB ๐Ÿ’พ GPT-OSS 120B @ 131K โ†’ 61.3GiB ๐Ÿ’พ DeepSeek V4 Flash @ 131K โ†’ 108.9GiB ๐Ÿ’พ MiniMax M2.7 @ 196K โ†’ 127.4GiB He also found some huge optimization wins. Qwen3.8-27B: ๐ŸŒ no MTP โ†’ 9 tps ๐Ÿš€ MTP โ†’ 24 tps That's 2.6ร— faster from speculative decoding. And cached agent turns changed the experience completely: GPT-OSS โ†’ 35 sec โ†’ 1.9 sec Qwen โ†’ 106.6 sec โ†’ 1.2 sec MiniMax โ†’ 131 sec โ†’ 4.4 sec DeepSeek โ†’ 164 sec โ†’ 1.6 sec So why return it? Ryzen AI Max+ 395 MINISFORUM ๐Ÿ’ฐ $3,879 ๐Ÿ’พ 128GB ๐Ÿš€ 256GB/s Ryzen AI Max+ PRO 495 ๐Ÿ’ฐ $7,399 ๐Ÿ’พ 192GB ๐Ÿš€ 273GB/s That's roughly 91% more money for 50% more memory and only ~7% more memory bandwidth. The extra memory unlocks models the 128GB box can't comfortably hold. It doesn't make inference twice as fast. His final verdict was still โ€œI am boxing this back up and sending it back. Not worth $8k!โ€ ๐Ÿ”— Original owner review in ALT.
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