Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
*** This offering is only available via private offer - please contact your NVIDIA sales representative to initiate the process ***
NVIDIA Run:ai delivers an enterprise-grade AI workload orchestration platform that maximizes the efficiency and scalability of your AWS GPU infrastructure. Purpose-built for Kubernetes environments and optimized for AI/ML workloads, Run:ai enables AWS customers to achieve greater throughput, improved utilization, and faster model development - all while maintaining tight control over resources and costs.
Show the rest of the publisher’s description (9 more lines)
Run:ai abstracts the complexity of managing GPU resources and accelerates time-to-insight for data science teams, while providing DevOps and IT stakeholders with robust tools for visibility, policy enforcement, and cost optimization. Run:ai ensures rapid deployment and integration with AWS-native services such as Amazon EKS and Amazon EC2 GPU instances, and AWS Identity and Access Management (IAM).
Key capabilities:
Flexible GPU Scaling for AI Workloads: Seamlessly scale GPU resources up or down across AWS environments to match the dynamic needs of training, tuning, and inference.
Automated GPU Orchestration: Ensure optimal resource allocation and scheduling for multiple workloads using intelligent policies that minimize idle time.
Team-Based Resource Governance: Use role-based access control and team-level quotas to ensure isolation, compliance, and shared infrastructure visibility across AI teams.
Integration with AWS Services: Deploy alongside Amazon EKS and integrate with services like Amazon S3, CloudWatch, and IAM for a unified operational experience.
MLOps Workflow Compatibility: Native support for JupyterHub, Kubeflow, MLflow, and other AWS-hosted tools to support end-to-end machine learning pipelines.
With NVIDIA Run:ai, organizations can rapidly onboard AI teams, democratize access to GPU infrastructure, and accelerate innovation while keeping infrastructure flexible and cost-effective. The solution is ideal for enterprises looking to scale AI initiatives without the burden of managing complex infrastructure manually.
Note: This AMI includes the KAI Scheduler, an open-source GPU workload scheduler from NVIDIA. KAI provides a lightweight preview of a limited subset of the capabilities available in Run:ai's full enterprise platform.
Highlights
Highlighted by the publisher on AWS Marketplace.
Optimize GPU Usage at Scale: Run:ai eliminates idle GPUs by enabling fractional sharing and dynamic allocation, maximizing hardware efficiency across teams and workloads.
Purpose-Built AI Scheduling: the Run:ai intelligent scheduler is designed specifically for AI workloads, using techniques like gang scheduling and preemption to efficiently manage complex training and inference jobs.
Centralized Hybrid Control: Manage all GPU resources - on-prem, cloud, or hybrid - from a single control plane with full visibility, policy enforcement, and multi-tenant support.
Agent build and provenance
See the full provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-10
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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