Can NVIDIA RTX 4000 Ada run HunyuanVideo?

13B parameter Video Gen model on 20GB GDDR6

Yes — runs at 4-bit quantization
~0.1-0.2 clips/min
SpeedModerate speed, usable for interactive chat
QualityGood quality with slight degradation on complex reasoning

VRAM Requirements

HunyuanVideo is a 13B parameter model. At full precision (FP16), it requires 40GB of VRAM. Your NVIDIA RTX 4000 Ada has 20GB, so you'll need to quantize it to 4-bit (Q4) to fit.

FP16 (Full Precision)40GB (need 20GB more)

Maximum quality, no quantization

Q8 (8-bit)22GB (need 2GB more)

Near-lossless, ~50% size reduction

Q4 (4-bit)14GB (6GB free)

Good quality, ~75% size reduction

Your GPU VRAM: 20GB GDDR6 at 360 GB/s bandwidth
Recommended system RAM: 40GB DDR5 (2x GPU VRAM minimum for model overflow)

What This Means in Practice

At 4-bit precision, HunyuanVideo fits in NVIDIA RTX 4000 Ada's VRAM but video quality may show artifacts, especially in motion consistency and fine details. Generation times will be longer. Usable for experimentation, but a GPU with more VRAM will produce noticeably better results.

NVIDIA RTX 4000 Ada Specs

VRAM20GB GDDR6
Memory Bandwidth360 GB/s
TDP130W
CUDA Cores6,144
Street Price~$1100
AI Rating7/10

About HunyuanVideo

Tencent's text-to-video model. Generates high-quality 5-10 second video clips. One of the best open-source video generators available. Needs significant VRAM — 24GB+ recommended.

Category: Video Gen · Parameters: 13B · CUDA required: Recommended