Video
HunyuanVideo
HunyuanVideo is a strong enterprise target for teams that want an open video generation stack without routing prompts, frames, and outputs through shared systems.
Dedicated video generationPrivate prompt handling
Video
Deploy CogVideoX 5B on dedicated infrastructure
CogVideoX 5B is a recognizable open video model for teams that want private generation infrastructure rather than handing prompts and assets to shared providers.
Dedicated GPU
Private workloads
Production ready
Why teams deploy CogVideoX 5B
Teams choose dedicated infrastructure for CogVideoX 5B when they need complete control over performance, security, runtime configuration, and production-scale reliability.
open video experiments
private video tooling
dedicated media inference
Modality
Video
Deployment
Dedicated CogVideoX runtime on enterprise GPU
Inputs
Text prompts, optional media references, internal enterprise assets
Outputs
Generated video clips and internal motion generation outputs
Production showcase
Showcase
Production-quality outputs generated with CogVideoX 5B running on dedicated GPU infrastructure.
Video
CogVideoX 5B sample output
Supported capabilities
Video generation
Private runtime control
Enterprise storage
Dedicated throughput
Common use cases
internal demo generation
video product experiments
private motion pipelines
What you get with Enterprise
Dedicated GPU deployment with no shared queue contention
100% private workloads, prompts, and generated outputs
Code access for custom runtimes, adapters, and optimization
Bring-your-own S3 storage for assets, checkpoints, and outputs
Enterprise Deployment
Get a dedicated GPU for this model
Get CogVideoX 5B running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.
Full privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Your own S3 for checkpoints and generated assets
Dedicated GPU — no shared queue or throttling
Starting at
$249/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
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