System · mini pc

Ryzen AI Max+ 395 mini PC (128 GB)

Runs models up to ~160B parameters at 4-bit in unified memory. Strix Halo system with 128 GB unified memory.

Unified memory: 128 GB
System RAM: Shared
Runs: 18 of 19model variants, 8K
Estimated cost: ~$2,000

What it runs

Largest models that fit without spilling into system memory, at an 8K contextHow much text the model can consider at once, counted in tokens — roughly ¾ of a word each..

Everything →

Variant
Llama 3.1 70B Instruct
70.6B · Q4_K_M via llama.cpp
Runs well
~4 tok/s est.
Variant
Llama 3.3 70B Instruct
70.6B · Q4_K_M via llama.cpp
Runs well
~4 tok/s est.
Variant
Mixtral 8x7B Instruct v0.1
46.7B · BF16 via SGLang
Tight fit
~6 tok/s est.
Variant
Qwen2.5 32B Instruct
32.8B · BF16 via SGLang
Runs well
~3 tok/s est.
Variant
Qwen2.5-Coder 32B Instruct
32.8B · Q8_0 via llama.cpp
Runs well
~5 tok/s est.
Variant
DeepSeek-R1-Distill-Qwen-32B
32.8B · BF16 via SGLang
Runs well
~3 tok/s est.
Variant
Qwen3 30B-A3B
30.5B · Q8_0 via llama.cpp
Runs well
~41 tok/s est.
Variant
Gemma 3 27B IT
27.4B · BF16 via SGLang
Runs well
~3 tok/s est.
Variant
Gemma 2 27B IT
27.2B · BF16 via SGLang
Runs well
~3 tok/s est.
Variant
Mistral Small 24B Instruct 2501
23.6B · BF16 via SGLang
Runs well
~4 tok/s est.

Components

1× Hardware AMD Ryzen AI Max+ 395 soc

Measured performance

Model · quantization	Runtime	Context	Measurements	Source
Qwen3 30B-A3B Q4_K_M (Unsloth AI)	llama.cppvulkan · b5300	4K	420 tok/s · Prompt processing (512) 51 tok/s · Generation (128)	Mutinai illustrative fixtures

Community results

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