LTX-2 (19B, video + audio) on NVIDIA GB10 (128 GB)

Can the NVIDIA GB10 (128 GB) run LTX-2 (19B, video + audio)?

83 pts

Yes, it runs well

Runs well. At FP16 it needs about 75.4 GB of 115 GB usable, with an estimated speed of 13.9 min.

Best precision: FP16
Memory mode: Everything on GPU
Time per clip: 13.9 min
Output: 1280×704, 121 frames, 40 steps

Download LTX-2 (19B, video + audio)

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

huggingface.co/unsloth/LTX-2-GGUF (opens in a new tab)

Original weights · Hugging Face

Full-precision files from Lightricks, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/Lightricks/LTX-2 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Lightricks. The weights themselves download from Hugging Face.

github.com/Lightricks/LTX-2 (opens in a new tab)

git clone https://github.com/Lightricks/LTX-2

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	36.9 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	7.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	83.9 / 100	83 ptsGreat (A) · 83 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 7.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the NVIDIA GB10 (128 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	75.4 GB	115 GB	13.9 min	Everything on GPU	Runs well	83 ptsGreat (A) · 83 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 7.0/15, Memory use 15.0/15	Original weights (opens in a new tab)
`FP8`	44.3 GB	115 GB	12.5 min	Everything on GPU	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 36.2/45, Memory fit 25.0/25, Speed 7.3/15, Memory use 8.9/15	Original weights (opens in a new tab)
`Q8 GGUF`	45.6 GB	115 GB	16.0 min	Everything on GPU	Runs well	77 ptsGreat (A) · 77 of 100 points: Model quality 36.5/45, Memory fit 25.0/25, Speed 6.5/15, Memory use 9.1/15	GGUF (opens in a new tab)
`Q4 GGUF`	36.7 GB	115 GB	16.7 min	Everything on GPU	Runs well	73 ptsGreat (A) · 73 of 100 points: Model quality 34.3/45, Memory fit 25.0/25, Speed 6.4/15, Memory use 7.4/15	GGUF (opens in a new tab)

Other hardware that runs it

88 ptsExcellent (S) · 88 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 11.8/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell FP16 · 4.9 min
84 ptsGreat (A) · 84 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 7.3/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) FP16 · 12.8 min
81 ptsGreat (A) · 81 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 4.2/15, Memory use 15.0/15 Apple M4 Max (128 GB) FP16 · 39.1 min
79 ptsGreat (A) · 79 of 100 points: Model quality 34.3/45, Memory fit 20.0/25, Speed 9.8/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q4 GGUF · 7.0 min
78 ptsGreat (A) · 78 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 4.8/15, Memory use 12.1/15 Apple M2 Ultra (192 GB) FP16 · 29.1 min

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.