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DGX Spark (GB10): Qwen3.6 35B-A3B NVFP4 at 113 tok/s on vLLM with MTP

Source: vitorpontual.com ↗📏 How measured: reported by the original source; RigBase re-checked the numbers at that source
GPU(s)
Nvidia GB10 (unified)
VRAM / unified memory (GB)
128
CPU
Nvidia GB10 (20 Arm cores)
Amazon · eBay (used) · Newegg
Motherboard
not stated
RAM
128 GB unified
PSU
not stated
Other
NVIDIA DGX Spark; vLLM 0.30, NVFP4 weights, MTP speculative decoding
Reported total cost
$3,999 (≈€3,568)
Power
not stated

Measured speed (generation tokens/sec)

ModelQuantEnginetok/sDetails
Qwen3.6 35B-A3BNVFP4vLLM 0.30 + MTP113⚡ spec-decode (MTP)
Qwen3.6 35B-A3BNVFP4vLLM 0.30 + MTP86⚡ spec-decode (MTP)

Measured 6 Oct 2026, median of 4 runs. 113 tok/s = thinking-mode workload; 86 = multi-step assistant session; 82 on short structured JSON. Prefill: 100K-token cold prompt in about 30 s. 16 concurrent requests: 311 tok/s total (23 per request). Cost: author says he paid about $3,999 at launch.

Source: https://vitorpontual.com/posts/two-ai-boxes-3-the-benchmarks/

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)

Quick answers: Can DGX Spark (GB10) run Qwen3.6 35B-A3B?