Enable Virtually Limitless Compute with a unified platform for













Execute AI, HPC, and Quantum workloads across any environment.

Run your existing HPC workloads without refactoring or compromise
Fully automated provisioning means you're up and running with just a few clicks
Secure, identity-based connectivity for your entire stack: Slurm, AI tools, and Kubernetes
Identity-based authentication eliminates passwords across compute, storage, and workloads
Active security monitoring and safe update management protect your GPU workloads
Smart placement technology maximizes utilization through intelligent sharing and partitioning.
Take the open stack and run it on infrastructure you own. Keep the models, the silicon, and the data inside the jurisdiction you answer to.
Install the full control plane in your own account or your own datacenter. Set the boundary once, and keep data and weights inside it.
Pull open weights straight from NGC or Hugging Face, pin them to an immutable digest, and serve them on your own clusters, with no per-token vendor in the path.
Migrate onto no proprietary scheduler. Keep the schedulers and runtimes your teams already run, and get the fixes back upstream.

Nominate the perimeter and keep the control plane, agents, schedulers, data, and models inside it. Authenticate every hop, authorize every request against your identity provider, and record every action.
Hold strict mTLS between every service in the mesh, and s2n TLS for the Slurm daemons, anchored to one private CA inside your cluster.
Issue OIDC tokens from your own IdP and validate them at the gateway on every request. Resolve roles per API route, per workload, per namespace.
Grant access by explicit policy only: which regions, which images and models, which data, how much spend.
Issue and rotate certificates automatically, and attribute every provision, submission, and access event to a person.
Answer the audit with a query, not a quarter-long project. Stream the log to your own SIEM, or hand an auditor a scoped view.

Vantage Compute, an NVIDIA Inception program member, is building the future compute layer with early access to the latest GPU platforms. Point-and-click, script it, or wire it into your stack: same control plane underneath.



Provision clusters, manage schedulers, and track spend from one dashboard.
Via UI, CLI, or API.

Stand up Slurm, Kubernetes, or both on AWS, Google Cloud, Azure, or your own racks, fully automated, no refactoring.
Launch JupyterHub, Ray, Kubeflow, or Spark on top in seconds, and pull any NVIDIA NIM or Hugging Face model straight onto your own clusters.

Every distributed run in one place: NeMo, Kubeflow Trainer, Slurm batch, and sweeps, with GPU counts, runtimes, and queue position across clouds.
Spot queue hotspots and node health issues fast, then pack jobs tighter to run more models on the same silicon.

Attribute infrastructure spend to specific teams and users, enforce quotas, and audit usage in real time.
Manage policy at the workload level and integrate your IdP for granular, audit-ready permissions.
Twenty-one job titles, one platform: notebooks, batch jobs, distributed training, and large-scale simulation across AI, HPC, quantum, and enterprise compute.
From the team building Vantage Compute, the modern compute layer for AI, HPC, and quantum.