Serve open models inside your boundary.
Vantage Compute deploys NVIDIA NIM and Hugging Face models as endpoints on the same clusters you train on, with every version pinned and every deployment tied to a named user.
Getting a model to production takes a second platform.
- 01
Serving lives on a different stack from training, so models are rebuilt to ship.
- 02
Endpoints drift: nobody can say exactly which weights are live.
- 03
Sending prompts and data to a hosted API moves them outside your boundary.
Notebook to endpoint under the same policy.
Launch NVIDIA NIM and Hugging Face models directly onto connected clusters.
Every deployment references an exact image and model version from an approved registry.
Every deployment and change is logged against the person who made it.
Your models, on your hardware, at a version you can name.
From submission to result.
From the catalog or your own registry.
GPU capacity on any connected cloud or rack.
The endpoint runs an exact, auditable version.
New versions go out under the same access rules.
- Inference Platform Leads
- MLOps Engineers
- LLM Ops Engineers
- Model Deployment Leads
- AI Product Engineers