NVIDIA DGX Spark
NVIDIA · AI Workstation · 2025
Performance Benchmarks
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
DeepSeek-V4-Flash (0731)
MXFP4 2x networked DGX Spark; community reports 20-30 tok/s depending on load; recorded midpoint as estimate |
tokens per second |
25
tok/s
est llama.cpp (experimental) · 2026-09-01
|
Unverified community www.reddit.com ↗ |
Full Specifications
Related GPUs
Common Questions
Can the NVIDIA DGX Spark run local LLMs?
Yes, if the model fits in its 128 GB of memory — VRAM capacity decides which models load at all, while its memory bandwidth decides how fast tokens generate. With 24 GB or more it can hold large quantized models such as 70B-class LLMs in reduced precision, and our model pages list exact VRAM fits per model.
How much VRAM does the NVIDIA DGX Spark have?
NVIDIA DGX Spark has 128 GB of video memory , per the specification values in our hardware database.
Is the NVIDIA DGX Spark worth it for AI workloads?
At a $3,999 MSRP, its value depends on whether your models fit in 128 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.
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