Overview
Vantage is a sovereign engineering workbench for AI training, inference, and simulation. Research and engineering teams develop, train, serve, and simulate from one place, on infrastructure they control, without stitching together separate tools for each stage.
What you can do
- Train AI models: distributed training and fine-tuning with NVIDIA NeMo recipes, evaluation suites, and hyperparameter tuning, on the GPUs you already have.
- Serve them in production: deploy models from the Hugging Face Hub or the NIM catalog with NIM, Dynamo, or KServe, as a drop-in replacement for hosted model APIs, with sizing recommendations and one-action promotion from training to serving.
- Run engineering simulation and HPC: batch and array jobs across Slurm, Kubernetes, and Volcano, with license tracking and booking for commercial engineering software such as ANSYS and Abaqus.
- Work interactively: notebooks, IDEs, and cloud shells, launched with the right GPU attached.
- Ask instead of dig: a built-in AI agent that reaches cluster state, job queues, logs, traces, and cost, answers in plain language, and takes real action, deploying, scaling, or building a dashboard, with every write proposed and confirmed before it runs.
- See and control cost: cost per job, utilization scoring, chargeback, and showback, so leadership can justify budgets and right-size clusters.
Sovereign by design
Vantage deploys as a self-contained EKS cluster directly into your own AWS account and VPC, with GPU and system workloads on isolated node groups. Your data, hardware, and scheduling decisions stay under your control instead of being routed through a third-party cloud. Identity follows one chain, from SSO/OIDC federation through POSIX and Kerberos identity to Slurm accounting, so access follows one policy at every stage. Security architecture is designed to meet ISO 27001, SOC 1, and SOC 2 standards, with role-based access, node-level encryption, and NIST 800-171 alignment built in.
Under the hood
One control plane brings Slurm, Kubernetes, and hybrid Slurm-on-Kubernetes clusters together, including bare-metal Slurm with no Kubernetes required, with Ray through KubeRay, Kubeflow Pipelines, and MLflow available for distributed AI workloads. Teams keep their existing environments, identity systems, and data. Vantage is hardware and cloud neutral by design, supporting AWS, Azure, GCP, on-premises, and partner colocation from one product.
Highlights
- Train, serve, and simulate in one workbench: train with NVIDIA NeMo, serve with NIM, Dynamo, or KServe as a drop-in replacement for hosted model APIs, and run batch HPC and simulation jobs on the same GPUs.
- Sovereign by design: deploys into your own AWS account and VPC, so your data, hardware, and scheduling stay under your control, with SSO identity and a security architecture designed to meet ISO 27001, SOC 1, SOC 2, and NIST 800-171.
- Ask your infrastructure anything: a built-in AI agent answers questions and takes real action, with every change confirmed first, plus cost-per-job visibility, chargeback, and license tracking for commercial engineering software.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Starter | Starter Tier - 50,000 VCUs Per Month | $1,500.00 | |
Professional | Professional Tier - 200,000 VCUs Per Month | $6,000.00 |
Vendor refund policy
Please contact support for refund options.
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
Email support@vantagecompute.ai for deployment and platform support. Standard response within one business day; enterprise SLAs available.
AWS infrastructure support
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