Skip to content

video model · cogvideox · Windows

Can I run CogVideoX-5B on AMD Ryzen AI Halo (128GB)?

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

Yes. CogVideoX-5B runs on AMD Ryzen AI Halo (128GB) at INT8 / fp8 (~16 GB of ~96 GB usable).

Needs ~16 GB Device usable ~96 GB

Runs at INT8 / fp8 using ~16 GB of ~96 GB usable.

Peak VRAM
~16 GB
Usable on device
~96 GB
Device memory
128 GB
Quant
INT8 / fp8
Share on X Share on Reddit

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.

Model cogvideox
Type
video (DIT)
Parameters
5B
Peak VRAM
~16 GB at INT8 / fp8
Resolution
720×480
License
CogVideoX License
Full CogVideoX-5B requirements →
Device Windows
Memory
128 GB unified
Usable for weights
~96 GB
Power draw
~120 W
Best runtime
llama.cpp (Vulkan/ROCm) / LM Studio
Best models for AMD Ryzen AI Halo (128GB) →

You could also run

Run CogVideoX-5B on other hardware

FAQ

Can AMD Ryzen AI Halo (128GB) run CogVideoX-5B?

Yes. CogVideoX-5B runs on AMD Ryzen AI Halo (128GB) at INT8 / fp8 (~16 GB of ~96 GB usable).

How much VRAM does CogVideoX-5B need?

AMD Ryzen AI Halo (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

VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-08-03. See methodology.