video model · cogvideox · Linux
Can I run CogVideoX-5B on Nvidia DGX Spark (128GB)?
Yes. CogVideoX-5B runs on Nvidia DGX Spark (128GB) at INT8 / fp8 (~16 GB of ~112 GB usable).
Runs at INT8 / fp8 using ~16 GB of ~112 GB usable.
- Peak VRAM
- ~16 GB
- Usable on device
- ~112 GB
- Device memory
- 128 GB
- Quant
- INT8 / fp8
How to run it
Use Diffusers or ComfyUI at INT8 / fp8. 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
- 5B
- Peak VRAM
- ~16 GB at INT8 / fp8
- Resolution
- 720×480
- License
- CogVideoX 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 CogVideoX-5B on other hardware
FAQ
Can Nvidia DGX Spark (128GB) run CogVideoX-5B?
Yes. CogVideoX-5B runs on Nvidia DGX Spark (128GB) at INT8 / fp8 (~16 GB of ~112 GB usable).
How much VRAM does CogVideoX-5B need?
Nvidia DGX Spark (128GB) has room to spare. At INT8 / fp8 the realistic peak is ~16 GB of VRAM, versus ~26 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~5 GB, much slower.
What do I use to run CogVideoX-5B locally?
CogVideoX-5B runs in Diffusers or ComfyUI. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
-
docs.nvidia.com · 2 sources
-
github.com · 1 source
-
huggingface.co · 3 sources
-
nvidia.com · 1 source
-
nvidianews.nvidia.com · 1 source
-
ollama.com · 1 source
-
tomshardware.com · 1 source
VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-11-01. See methodology.