NVIDIA RUN:AI PER GPU SELF-HOSTED, 2 YEARS
This 2-year NVIDIA RUN:AI self-hosted GPU platform license provides essential access to advanced AI development and deployment capabilities for your organization.
- License Term: Entitlement for 2 years of self-hosted RUN:AI platform usage.
- Platform Access: Unlocks advanced features for AI model development, training, and inference.
- Compliance: Ensures proper licensing for on-premises GPU infrastructure, avoiding regulatory issues.
- Operational Continuity: Guarantees continued access to critical AI software features and support.
Product Overview
Product Overview
The NVIDIA RUN:AI PER GPU SELF-HOSTED license, valid for 2 years, grants your organization the rights to deploy and utilize the RUN:AI platform on your own infrastructure. This subscription provides access to a suite of tools designed to manage, orchestrate, and scale AI workloads efficiently across your GPU resources, ensuring compliance and unlocking advanced functionalities for your data science and machine learning initiatives.
This licensing is ideal for businesses that have invested in their own GPU hardware and require a robust software layer to maximize its potential. IT Managers and IT Professionals in mid-market companies can integrate RUN:AI to streamline MLOps workflows, from data preparation and model training to deployment and monitoring, all within their secure, on-premises environment.
- AI Orchestration: Manage and schedule AI training and inference jobs across your GPU fleet.
- Resource Optimization: Efficiently allocate and utilize GPU resources for maximum performance.
- Scalability: Easily scale your AI development and deployment capabilities as your needs grow.
- Compliance Assurance: Maintain licensing compliance for your on-premises AI infrastructure.
- Feature Access: Gain access to the latest RUN:AI platform features and updates.
This 2-year license is the right choice for mid-market teams seeking to optimize their on-premises AI infrastructure and ensure continuous access to powerful development tools.
What This Enables
Enable AI Model Development and Training
Enable teams to develop, train, and experiment with AI models using your own GPU hardware. Streamline the process of allocating resources and managing training jobs for data science projects.
on-premises GPU servers, dedicated AI development environments, hybrid cloud AI strategies
Streamline AI Inference Deployment
Streamline the deployment of trained AI models for inference tasks within your secure network. Automate the process of serving predictions and insights from your AI applications.
production AI workloads, on-premises data processing, real-time analytics applications
Automate GPU Resource Management
Automate the allocation and management of GPU resources across multiple users and projects. Ensure efficient utilization of your hardware investment and reduce idle time.
shared GPU clusters, multi-tenant IT infrastructure, research and development labs
Key Features
Self-hosted deployment
Maintain full control over your data and AI infrastructure within your own data center.
GPU orchestration
Efficiently manage and schedule AI workloads across your available GPU resources.
2-year subscription term
Provides predictable costs and continuous access to the RUN:AI platform for an extended period.
Per GPU licensing
Scales licensing costs directly with your GPU hardware investment.
AI development and MLOps tools
Empowers data scientists and engineers with the tools needed for the entire AI lifecycle.
Industry Applications
Manufacturing & Industrial
Enables the deployment of AI for predictive maintenance, quality control, and process optimization on-premises, aligning with industrial data security requirements.
Finance & Insurance
Supports the development and deployment of AI models for fraud detection, risk assessment, and algorithmic trading within secure, regulated environments.
Healthcare & Life Sciences
Facilitates AI-driven medical imaging analysis, drug discovery simulations, and patient data analytics while maintaining strict data privacy and compliance standards.
Education & Research
Provides researchers and academic institutions with the tools to manage complex AI computations and simulations on their own hardware, fostering innovation.
Frequently Asked Questions
What is NVIDIA RUN:AI?
NVIDIA RUN:AI is a platform designed to manage, orchestrate, and scale AI workloads on GPU infrastructure. This self-hosted version allows you to deploy it on your own hardware.
What does 'Per GPU' licensing mean?
This licensing model means the subscription cost is based on the number of GPUs you intend to use with the RUN:AI platform. It allows for cost-effective scaling as your GPU capacity changes.
Can this license be used for cloud deployments?
No, this specific license is for self-hosted deployments, meaning it is intended for use on your own on-premises hardware, not on public cloud instances.
Deployment & Support
Deployment Complexity
Medium — IT-assisted
Fulfillment
Digital Delivery
License keys / portal provisioning
Support Model
Zent Networks Managed
Renewal, add-license, and lifecycle management included
Subscription Terms
Cancellation
Cancel anytime — no charge on next cycle
You may cancel this subscription at any time. Cancellation takes effect at the end of the current billing period. You will not be charged for the following billing cycle. Access remains active through the end of the paid term.
Returns
Subscription licenses are non-refundable
Digital software licenses and SaaS subscriptions cannot be returned once activated or provisioned. Contact a Zent Networks account manager if you have questions before purchasing.