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Can the Ryzen AI Max+ 395 (128 GB) run Llama 3.1 8B?
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Yes. Llama 3.1 8B is a 4.9 GB download (Q4_K_M). The Ryzen AI Max+ 395 (128 GB) gives the GPU 96 GB, leaving about 91.1 GB for context and runtime (our arithmetic).
Does it fit?
| Llama 3.1 8B memory | 4.9 GB at Q4_K_M (Ollama: llama3.1 tags) |
|---|---|
| Ryzen AI Max+ 395 (128 GB) GPU memory | 128 GB unified memory, of which AMD says up to 96 GB can be dedicated graphics memory through Variable Graphics Memory. We use 96 GB for fit. (AMD) |
| Left over | About 91.1 GB (our arithmetic) |
| Verdict | Fits 4 GB or more to spare (our estimate bands) |
Recommended quantization and context
Use the Q4_K_M build that Ollama's tag downloads; the memory figure above is for that build. The model supports up to 128K of context, but longer context uses more memory. Ollama starts at a 4096-token context by default (Ollama FAQ).
With about 91.1 GB spare you have room to raise the context. Raise it in steps and re-check with ollama ps.
On this mini PC the GPU's share of memory depends on settings. On Windows, set Variable Graphics Memory in AMD Software (Performance, then Tuning); on Linux, see AMD's ROCm notes on BIOS VRAM and GTT. Details are in the install guide.
Run it
ollama run llama3.1:8bThen check it's on the GPU:
ollama psThe PROCESSOR column should read 100% GPU. Driver setup for AMD cards on Windows, Linux and macOS, plus common fixes, is in the install and run section.
Where to buy the Ryzen AI Max+ 395 (128 GB)
Minisforum MS-S1 MAX 128GB / 2TB (Ryzen AI Max+ 395)
$3,919 Minisforum · checked Oct 27, 2026, 12:40 PM CT
Caveat
Store data says estimated shipping late November. The 128GB / 4TB version was $4,199.
Check price at Minisforum (opens in a new tab)
GMKtec EVO-X2 128GB / 2TB
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Sold at Amazon.
Check price at Amazon (opens in a new tab)FAQ
Can the Ryzen AI Max+ 395 (128 GB) run Llama 3.1 8B?
Yes: Llama 3.1 8B needs 4.9 GB (Q4_K_M, Ollama library) and the Ryzen AI Max+ 395 (128 GB) gives the GPU 96 GB, leaving about 91.1 GB. That leaves room to raise the context above the 4096-token default. The fit bands are our estimate.
How much VRAM does Llama 3.1 8B need?
4.9 GB for the Q4_K_M build in the Ollama library, plus roughly 1–4 GB for context and runtime (our estimate). See the 8 GB page for other models that fit.
What command runs Llama 3.1 8B?
ollama run llama3.1:8b. Then run "ollama ps" and check the PROCESSOR column reads 100% GPU.
How fast is Llama 3.1 8B on the Ryzen AI Max+ 395 (128 GB)?
We don't list a speed because we have no sourced measurement for this pairing. Speed depends on memory bandwidth, quantization and context length.