video model · hunyuanvideo · Linux
Can I run HunyuanVideo on Nvidia DGX Spark (128GB)?
Yes. HunyuanVideo runs on Nvidia DGX Spark (128GB) at Q4 GGUF (~16 GB of ~112 GB usable).
Runs at Q4 GGUF using ~16 GB of ~112 GB usable.
- Peak VRAM
- ~16 GB
- Usable on device
- ~112 GB
- Device memory
- 128 GB
- Quant
- Q4 GGUF
How to run it
Use ComfyUI at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.
- Type
- video (DIT)
- Parameters
- 13B
- Peak VRAM
- ~16 GB at Q4 GGUF
- Resolution
- 544×960
- License
- Tencent Hunyuan Community License
- Memory
- 128 GB unified
- Usable for weights
- ~112 GB
- Power draw
- ~140 W
- Best runtime
- llama.cpp (CUDA) / Ollama (CUDA)
You could also run
Run HunyuanVideo on other hardware
FAQ
Can Nvidia DGX Spark (128GB) run HunyuanVideo?
Yes. HunyuanVideo runs on Nvidia DGX Spark (128GB) at Q4 GGUF (~16 GB of ~112 GB usable).
How much VRAM does HunyuanVideo need?
Nvidia DGX Spark (128GB) has room to spare. At Q4 GGUF the realistic peak is ~16 GB of VRAM, versus ~60 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~8 GB, much slower.
What do I use to run HunyuanVideo locally?
HunyuanVideo runs in ComfyUI. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
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docs.nvidia.com · 2 sources
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github.com · 2 sources
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huggingface.co · 2 sources
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nvidia.com · 1 source
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nvidianews.nvidia.com · 1 source
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ollama.com · 1 source
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tomshardware.com · 1 source
VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-11-01. See methodology.