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Company case study

Dev agency tests on-prem AI assistant on Framework Desktop (Ollama + Vulkan)

Kalmia, a software company, runs LLMs on a Framework Desktop (Ryzen AI Max+ 395, 128GB) and found Ollama with the Vulkan backend the most stable option; ROCm and vLLM were not yet reliable on this APU.

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Hardware

ItemApprox. price (as of 2026-10-16)
On sale −20% Minisforum MS-S1 MAX (Ryzen AI Max+ 395, 128GB, 2TB) (Minisforum Store, related current offer)$3,879.00 $4,849.00
On sale −6% MSI GeForce RTX 5060 Ti 16GB Ventus 3X OC (Newegg, related current offer)$579.99 $614.99
Framework Desktop, AMD Ryzen AI Max+ 395, Radeon 8060S, 128GB shared memory~€2,500 price range (as stated for Ryzen AI Max+ 395 hardware)
Framework Desktop DIY (Ryzen AI Max+ 395, 128GB) (Framework, related current price)$3,449.00

Source prices are as stated by the source. Retailer offers: prices checked 2026-10-16, may change. Some links may be affiliate links; we may earn a commission at no extra cost to you. This never changes what we list.

Software stack

  • Ollama (Vulkan backend)
  • vLLM (tested, not viable on Vulkan)
  • ROCm 7/7.1 (tested)

Models used

  • Not stated in source

Good at

  • Ollama + Vulkan: 'consistent inference without frequent breakage'
  • Company says its AI assistant could realistically be deployed on this class of hardware for SMEs

Weak at

  • ROCm instabilities; some Linux kernel updates broke ROCm
  • vLLM has no Vulkan backend, so multi-user serving options are limited

Rough total cost

Source cites the ~€2,500 price range for Ryzen AI Max+ 395 hardware.

Getting started

  1. Allocate GPU memory in firmware (up to 50% of system memory per source).
  2. Install Ollama and use the Vulkan backend.
  3. Avoid relying on ROCm until kernel/ROCm fixes land.

Source & credit

Running LLMs on AMD hardware: Kalmia's hands-on experience with Framework Desktop, Vulkan and ROCm — Kalmia blog

Summarized from the source; quotes are the source author's words. Check the original before buying.

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