Can I Run Qwen3.8 on NVIDIA DGX Spark?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026

Yes, comfortably — you'll have ~19.3 GB of headroom running Qwen3.8-Flash-Next at Q4_K_M (108.675 GB, ~40 tok/s (est.)) with room for up to 32K context.

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NVIDIA DGX Spark (128GB)
128 GB VRAM · 150 W board power
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NVIDIA DGX Spark Specs

VRAM128 GB
Memory Bandwidth273 GB/s

Qwen3.8-Flash-Next on the NVIDIA DGX Spark: VRAM by quantization

QuantVRAM neededFits 128 GB?Max context
F16362.4 GB✗ No
Q8_0193.7 GB✗ No
Q6_K150 GB✗ No
Q5_K_M130 GB✗ No
Q4_K_M111.1 GB✓ Yes32K
Q3_K_M79.2 GB✓ Yes64K
Q2_K61.6 GB✓ Yes128K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 128 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Qwen3.8 Sizes That Fit the NVIDIA DGX Spark

Qwen3.8-Flash-NextQ4_K_M · 108.675 GB · ~40 tok/s (est.)
Qwen3.8 27BQ4_K_M · 16.772175 GB · ~13 tok/s (est.)
Buy vs. rent Qwen3.8
Buy the GPU
~$4,699
NVIDIA DGX Spark · MSRP
Rent by the hour
from $1.54/hr
2× A100 (160 GB) class

At 2 hrs/day, buying (~$4,699) beats renting at $1.54/hr after about 4.2 years.

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Vast.ai $1.54/hr · typical low · varies
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the NVIDIA DGX Spark enough to run Qwen3.8 locally?

Yes, comfortably — you'll have ~19.3 GB of headroom running Qwen3.8-Flash-Next at Q4_K_M (108.675 GB, ~40 tok/s (est.)) with room for up to 32K context.

What's the best Qwen3.8 size for the NVIDIA DGX Spark?

Qwen3.8-Flash-Next at Q4_K_M quantization (108.675 GB), estimated ~40 tokens/sec, up to 32K context.

Every Qwen3.8 size on the NVIDIA DGX Spark

SizeVRAMVerdictSpeed
Qwen3.8-Max1449.0 GBDoes not fit
Qwen3.8-Flash-Next108.7 GBRuns~40 tok/s
Qwen3.8 27B16.8 GBRuns~13 tok/s

Popular Models on the NVIDIA DGX Spark

VRAM Tier

Troubleshooting

Buying Guide

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