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video model · ltx-video · Linux

Can I run LTX-Video 2B on Nvidia DGX Spark (128GB)?

Compatibility verdict VRAM check
Yes, it runs fast on this GPU

Yes. LTX-Video 2B runs on Nvidia DGX Spark (128GB) at fp8 + offload (~10 GB of ~112 GB usable).

Needs ~10 GB Device usable ~112 GB

Runs at fp8 + offload using ~10 GB of ~112 GB usable.

Peak VRAM
~10 GB
Usable on device
~112 GB
Device memory
128 GB
Quant
fp8 + offload
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How to run it

Use ComfyUI or Diffusers at fp8 + offload. 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.

Model ltx-video
Type
video (DIT)
Parameters
2B
Peak VRAM
~10 GB at fp8 + offload
Resolution
1216×704
License
LTX-Video Open Weights (OpenRAIL-M)
Full LTX-Video 2B requirements →
Device Linux
Memory
128 GB unified
Usable for weights
~112 GB
Power draw
~140 W
Best runtime
llama.cpp (CUDA) / Ollama (CUDA)
Best models for Nvidia DGX Spark (128GB) →

You could also run

Run LTX-Video 2B on other hardware

FAQ

Can Nvidia DGX Spark (128GB) run LTX-Video 2B?

Yes. LTX-Video 2B runs on Nvidia DGX Spark (128GB) at fp8 + offload (~10 GB of ~112 GB usable).

How much VRAM does LTX-Video 2B need?

Nvidia DGX Spark (128GB) has room to spare. At fp8 + offload the realistic peak is ~10 GB of VRAM, versus ~12 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~6 GB, much slower.

What do I use to run LTX-Video 2B locally?

LTX-Video 2B runs in ComfyUI or Diffusers. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-11-01. See methodology.