Sold by: NVIDIAÂ
Deployed on AWS
NVIDIA Run:ai is a Kubernetes-native platform for orchestrating AI workloads and optimizing GPU resources. Designed for ML and AI teams, it streamlines resource management, boosts GPU utilization, and accelerates development. Run:ai offers seamless integration with leading MLOps tools and cloud environments, enabling dynamic GPU scheduling, fractional GPU allocation, and automated workload orchestration.
Overview
*** 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.
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.
Highlights
- 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.
Details
Sold by
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Annual | Run:ai Annual Plan per GPU | $2,600.00 |
Vendor refund policy
NVIDIA Run:ai does not have a refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
NVIDIA Run:ai customers receive Enterprise Business Standard Support for this solution:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
NVIDIA AI Enterprise
By NVIDIA
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI.
NVIDIA GPU-Optimized AMI
By NVIDIA
The NVIDIA GPU-Optimized AMI is an environment for running the GPU-accelerated deep learning and HPC containers from the NVIDIA NGC catalog. The deep learning containers from NGC catalog require this AMI for GPU acceleration on AWS P4d, P3, G4dn, G5 GPU instances.
NVIDIA Isaac Sim™ Development Workstation (Linux) is preconfigured with the software tools for accelerating and scaling your robotic simulation workloads from synthetic data generation to software-in-loop testing of your robotics stack.
NVIDIA Isaac Sim™ Development Workstation (Windows) is preconfigured with the software tools for accelerating and scaling your robotic simulation workloads from synthetic data generation to software-in-loop testing of your robotics stack.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.