Native UI, CLI & API

The Future Compute Layer

Enable Virtually Limitless Compute with a unified platform for

vantage · zsh
Vantage cluster list spanning AWS, Google Cloud, Azure, and on-prem
Clusters across every cloud and your own racks
Distributed training jobs across every cluster in Vantage
Every distributed training run in one view
Scheduler management on a Kubernetes cluster in Vantage
Slurm and Kubernetes schedulers, side by side
JupyterLab running on a Vantage GPU cluster with live GPU panels
Notebooks on GPU clusters, in seconds
NVIDIA NIM and Hugging Face model catalog in Vantage
Open models, pinned and served on your clusters
Runs everywhere you do
AWSAzureGoogle CloudOracle
The Vantage Control Plane

Virtually Limitless™ Compute.

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

Own the whole stack. Run frontier AI on your terms, in your jurisdiction
Hold five controls the platform enforces, rather than promises in a contract.

Slurm+Kubernetes Orchestration

Bring Slurm to Kubernetes

Run your existing HPC workloads without refactoring or compromise

Spin Up Clusters Instantly

Fully automated provisioning means you're up and running with just a few clicks

Identity-Aware Infrastructure

No More Integration Headaches

Secure, identity-based connectivity for your entire stack: Slurm, AI tools, and Kubernetes

IAM Simplified

Identity-based authentication eliminates passwords across compute, storage, and workloads

GPU-Native Platform Operations

Stay Secure, Stay Running

Active security monitoring and safe update management protect your GPU workloads

Get More from Your GPUs

Smart placement technology maximizes utilization through intelligent sharing and partitioning.

Vantage unifies Slurm and Kubernetes into a single, chip‑agnostic control plane.

Sovereign & Open

Your models. Your silicon.
Your jurisdiction.

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.

Deploy inside your own boundary

Install the full control plane in your own account or your own datacenter. Set the boundary once, and keep data and weights inside it.

  • On-prem
  • Your cloud account

Serve open models, first class

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.

  • NVIDIA NIM
  • Hugging Face
  • Open weights

Keep the open stack underneath

Migrate onto no proprietary scheduler. Keep the schedulers and runtimes your teams already run, and get the fixes back upstream.

  • Slurm
  • Kubernetes
  • Ray
  • Jupyter
Slurm + KubernetesOne control plane, one identity model, no refactoring.
SlurmKubernetes
Public, Private, On-PremisesAWS, Azure, and Google Cloud, or your own datacenter.
AWSMicrosoft AzureGoogle Cloud
UI, CLI, APIEvery action available to a person or a pipeline.
Vantage
Sovereign AI · Governance & Security

Draw the boundary. Watch it hold, and prove it held.

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.

Sovereign boundary: your jurisdiction
SCHEDULERS & WORKLOADS
SlurmKubernetes
Apply one policy above both schedulers
DATA & WEIGHTS
Scale R&D securely
Grant mounts by policy, not by ticket
Vantage
Vantage control plane
Run it in your cloud account or your own datacenter, reached by an outbound-only tunnel that opens no inbound ports
UICLIAPI
SAME BOUNDARY, ANY SUBSTRATE
AWSMicrosoft AzureGoogle Cloud+ your racks
Encrypt every hop

Hold strict mTLS between every service in the mesh, and s2n TLS for the Slurm daemons, anchored to one private CA inside your cluster.

Federate your identity

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.

Deny by default

Grant access by explicit policy only: which regions, which images and models, which data, how much spend.

Rotate and record

Issue and rotate certificates automatically, and attribute every provision, submission, and access event to a person.

Governance log
live
mtls workload cert issued to notebook pod, rotated automatically
identity token validated at gateway, role researcher on project genomics
tunnel outbound session established, no inbound port opened
model digest sha256:9f2c… pinned from approved registry
denied mount /phi refused, outside role's data scope
quota team simulation at 82% of monthly allocation

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.

NVIDIA Inception Program member badge

Powered by NVIDIA
and Open Source

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.

AI Research
training & inference
Simulation Eng
multi-node CFD & FEA
HPC Ops
queues, quotas, spend
Platform & Business
network · cluster eng · procurement · PM
Vantage
Security, Access, Control
UICLIAPI
Slurm
gpu-prod · AWS
512 × H200
Kubernetes
inference · Google Cloud
autoscale 0 → 128
SlurmKubernetes
hybrid · Azure
federated scheduling
Slurm
on-prem · datacenter
burst to cloud
every team · every cluster · every workload

Provision clusters, manage schedulers, and track spend from one dashboard.

Operational Intelligence

Complete Cluster
Control

Via UI, CLI, or API.

Clusters across AWS, Google Cloud, Azure, LXD, and on-prem in Vantage
01 · Provision

Clusters anywhere, in minutes

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.

Distributed training jobs across every cluster in Vantage
02 · Operate

Every job and every queue, one view

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.

VCU spend breakdown by team in Vantage
03 · Govern

Spend and access under policy

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.

One Platform

Built For AI Researchers

Twenty-one job titles, one platform: notebooks, batch jobs, distributed training, and large-scale simulation across AI, HPC, quantum, and enterprise compute.

AI Researchers @Life Sciences
Launch experiments instantly, no IT provisioning required.
ML Platform Engineers @AI Labs
One control plane for training, tuning, and serving across clouds.
HPC Systems Admins @National Lab
Monitor jobs, queues, and node health in a single view.
Research Software Engineers @University
Ship reproducible environments instead of maintaining modulefiles.
MLOps Engineers @FinTech
Promote models from notebook to endpoint on the same policy.
Computational Chemists @Pharma
Queue thousands of docking runs without touching a scheduler.
GPU Performance Engineers @Semiconductor
See utilization per GPU and tune placement, sharing, and partitioning.
AI Researchers @Life Sciences
Launch experiments instantly, no IT provisioning required.
ML Platform Engineers @AI Labs
One control plane for training, tuning, and serving across clouds.
HPC Systems Admins @National Lab
Monitor jobs, queues, and node health in a single view.
Research Software Engineers @University
Ship reproducible environments instead of maintaining modulefiles.
MLOps Engineers @FinTech
Promote models from notebook to endpoint on the same policy.
Computational Chemists @Pharma
Queue thousands of docking runs without touching a scheduler.
GPU Performance Engineers @Semiconductor
See utilization per GPU and tune placement, sharing, and partitioning.
Simulation Leads @Aerospace
Scale multi-node CFD and FEA with zero license friction.
Bioinformaticians @Genomics
Run pipelines where the data already lives, in region.
Inference Platform Leads @Enterprise AI
Serve open models on your own clusters, pinned to a digest.
Storage Engineers @National Lab
Attach the right filesystem to the right job, per policy.
Climate Modelers @Public Sector
Long multi-node runs with checkpoints and restart built in.
Data Engineers @Automotive
Spark, Ray, and batch on shared silicon instead of separate stacks.
Scheduler Administrators @Manufacturing
Federate Slurm and Kubernetes queues under one set of rules.
Simulation Leads @Aerospace
Scale multi-node CFD and FEA with zero license friction.
Bioinformaticians @Genomics
Run pipelines where the data already lives, in region.
Inference Platform Leads @Enterprise AI
Serve open models on your own clusters, pinned to a digest.
Storage Engineers @National Lab
Attach the right filesystem to the right job, per policy.
Climate Modelers @Public Sector
Long multi-node runs with checkpoints and restart built in.
Data Engineers @Automotive
Spark, Ray, and batch on shared silicon instead of separate stacks.
Scheduler Administrators @Manufacturing
Federate Slurm and Kubernetes queues under one set of rules.
PhD Researchers @Higher Education
Run complex simulations through a simple, no-code interface.
CAD Engineers @Semiconductor
Ensure license availability: zero denials, zero overspending.
Quant Researchers @Capital Markets
Burst risk and backtesting workloads without a procurement cycle.
AV Simulation Engineers @Automotive
Thousands of scenario replays, tracked run by run.
Research IT Directors @Healthcare
Unify hybrid compute under one auditable control plane.
Operations Managers @FinTech
Track real-time usage and spend by team.
Procurement Directors @Energy
Maximize GPU efficiency and eliminate budget waste.
PhD Researchers @Higher Education
Run complex simulations through a simple, no-code interface.
CAD Engineers @Semiconductor
Ensure license availability: zero denials, zero overspending.
Quant Researchers @Capital Markets
Burst risk and backtesting workloads without a procurement cycle.
AV Simulation Engineers @Automotive
Thousands of scenario replays, tracked run by run.
Research IT Directors @Healthcare
Unify hybrid compute under one auditable control plane.
Operations Managers @FinTech
Track real-time usage and spend by team.
Procurement Directors @Energy
Maximize GPU efficiency and eliminate budget waste.
Our Blog

Insights & Updates

From the team building Vantage Compute, the modern compute layer for AI, HPC, and quantum.