video model · cogvideox · Windows

Can I run CogVideoX-2B on AMD Ryzen AI Halo (128GB)?

Compatibility verdict VRAM check

Yes, it runs fast on this GPU

Yes. CogVideoX-2B runs on AMD Ryzen AI Halo (128GB) at fp16 + offload (~8 GB of ~96 GB usable).

Needs ~8 GB Device usable ~96 GB

Runs at fp16 + offload using ~8 GB of ~96 GB usable.

Peak VRAM: ~8 GB
Usable on device: ~96 GB
Device memory: 128 GB
Quant: fp16 + offload

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How to run it

Use Diffusers or ComfyUI at fp16 + 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 cogvideox

Type: video (DIT)
Parameters: 2B
Peak VRAM: ~8 GB at fp16 + offload
Resolution: 720×480
License: Apache-2.0

Full CogVideoX-2B 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-2B on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)

FAQ

Can AMD Ryzen AI Halo (128GB) run CogVideoX-2B?

Yes. CogVideoX-2B runs on AMD Ryzen AI Halo (128GB) at fp16 + offload (~8 GB of ~96 GB usable).

How much VRAM does CogVideoX-2B need?

AMD Ryzen AI Halo (128GB) has room to spare. At fp16 + offload the realistic peak is ~8 GB of VRAM, versus ~18 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~4 GB, much slower.

What do I use to run CogVideoX-2B locally?

CogVideoX-2B 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.