Can 2x Intel Arc Pro B70 run Qwen3.8 Flash-Next?
Probably only partly: the weights are larger than its memory, so part of the model likely ran from system RAM. Measured 58.56 tok/s generation with part of the model offloaded to system RAM (neural.download runtime, TP2, IQ3; source).
Every measured result for Qwen3.8 Flash-Next on 2x Intel Arc Pro B70
| Build | Quant / setup | Engine | tok/s | |
|---|---|---|---|---|
| Dual Intel Arc Pro B70 (neural.download lab) | IQ3 | neural.download runtime, TP2 | 58.56 CPU offload | source |
Memory: 2x Intel Arc Pro B70 has 64 GB. Qwen3.8 Flash-Next weights are about 110.1 GB at Q4_K_M (180B params × 4.89 bits ÷ 8, before context/KV cache). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.
Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.
All measured speeds for Qwen3.8 Flash-Next: best home rig for Qwen3.8 Flash-Next.
Qwen3.8 Flash-Next on other hardware: 2x RTX 5070 Ti · 2x RTX 5080 · 2x RTX PRO 4000 Blackwell · 2x Tesla V100 32GB · DGX Spark (GB10) · RTX 5090
Other models measured on 2x Intel Arc Pro B70: Qwen3.8 27B
Not enough VRAM? Rent before you buy. Run Qwen3.8 Flash-Next on a bigger GPU on a rented 24–96 GB cloud GPU by the hour and see the real speed before spending €1,000+. Try it on Runpod
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.