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Strix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)

GPU(s)AMD Radeon AI Pro R9700 32 GB (OCuLink x4) + Ryzen AI Max+ 395 Radeon 8060S iGPU
Amazon · eBay (used) · Newegg
VRAM / unified memory (GB)160
CPUAMD Ryzen AI Max+ (Strix Halo) mini PC
Amazon · eBay (used) · Newegg
Motherboard
RAM128 GB unified (Strix Halo)
PSU
OtherLian Li B4 case; R9700 power-capped to 210 W, -500 MHz, fan capped at 1500 rpm; iGPU capped at 2000 MHz, CPU boost off
Reported total cost
PowerR9700 capped at 210 W

Measured speed (generation tokens/sec)

📏 How measured: reported by the original source; RigBase re-checked the numbers at that source

ModelQuantEnginetok/sDetails
Qwen3.8 Flash-Nextcustom int4 experts / 6-bit trunkstrixpro (MTP depth 3 + prompt lookup)102⚡ spec-decode (MTP)
Qwen3.8 Flash-Nextcustom int4 experts / 6-bit trunkstrixpro, ~100K context82
Qwen3.8 Flash-Nextcustom int4 experts / 6-bit trunkstrixpro, ~980K context71
Qwen3.8 Flash-NextGGUFllama.cpp (Strix Halo iGPU only)29-34

Blog post 5 Oct 2026, updated 16 Oct 2026. Hot experts and trunk run on the R9700, all experts held on the Strix Halo. Prefill about 2,000 tok/s on 4-16K prompts. "~102" is the author's approximate figure for short prompts.

Source: https://vuln.dev/flash-engine/

Blank fields = not stated in the source. We never estimate build data; GPU street prices above are separately sourced and dated.

Rent before you buy: try this model on a cloud GPU for a few dollars first: Runpod (referral link; sign up with Google to get the new-user bonus)