
NVIDIA RUN:AI Self-Hosted GPU Platform License
This 5-month subscription license unlocks the full capabilities of the NVIDIA RUN:AI platform for self-hosted GPU deployments, ensuring your AI initiatives run efficiently and compliantly.
- License Term: Subscription-based access for a defined 5-month period, providing flexibility for project-based needs.
- Platform Access: Enables the full feature set of the NVIDIA RUN:AI platform for managing and orchestrating GPU workloads.
- Self-Hosted Deployment: Designed for organizations managing their own on-premises GPU infrastructure.
- Compliance & Efficiency: Ensures proper licensing for AI development and deployment, avoiding costly penalties and optimizing resource utilization.
Product Overview
Product Overview
The NVIDIA RUN:AI Per GPU Self-Hosted license provides a 5-month subscription for access to the RUN:AI platform, enabling businesses to manage and orchestrate their GPU resources for artificial intelligence and machine learning workloads within their own data centers.
This license is ideal for IT Managers and IT Professionals in SMB and mid-market companies who are deploying AI solutions on-premises and require a robust platform for efficient GPU utilization, monitoring, and management, ensuring compliance and maximizing hardware investment.
- AI Orchestration: Streamline the deployment and management of AI/ML workloads across your GPU infrastructure.
- Resource Optimization: Maximize the utilization of your NVIDIA GPUs for training and inference tasks.
- Self-Hosted Control: Maintain full control over your data and infrastructure with an on-premises deployment.
- Compliance Assurance: Ensure adherence to licensing requirements for enterprise-grade AI development.
- Scalable Access: Provides access to advanced platform features for a defined 5-month period.
This NVIDIA RUN:AI license is the right choice for SMB and mid-market teams needing controlled, efficient GPU management for their AI projects.
What This Enables
Enable AI Model Training and Development
Enable teams to efficiently train complex AI and machine learning models using their own GPU infrastructure. Streamline the process of allocating resources, monitoring training jobs, and iterating on model development.
on-premises data centers, hybrid cloud environments, dedicated GPU servers
Orchestrate GPU Workload Deployment
Streamline the deployment and management of AI inference and training workloads across a fleet of self-hosted GPUs. Automate resource provisioning and scheduling to ensure optimal performance and availability.
server rooms, private cloud deployments, high-performance computing clusters
Ensure Licensing Compliance for AI
Automate the tracking and management of GPU software licenses to maintain compliance with NVIDIA's terms. Protect your organization from potential audits and penalties associated with unlicensed software usage.
regulated industries, IT asset management, corporate IT departments
Key Features
Self-hosted GPU management
Maintain full control over your data and infrastructure while managing AI workloads on-premises.
AI/ML workload orchestration
Efficiently deploy, manage, and scale AI training and inference jobs across your GPU fleet.
Resource monitoring and allocation
Optimize GPU utilization and ensure fair access for development and production workloads.
Subscription-based licensing
Flexible 5-month term provides access to advanced platform features for specific project needs.
Compliance assurance
Ensure your organization adheres to software licensing requirements for AI development.
Industry Applications
Manufacturing & Industrial
Enables the deployment of AI for predictive maintenance, quality control, and process optimization on-premises, leveraging specialized GPU hardware.
Finance & Insurance
Supports AI-driven fraud detection, risk analysis, and algorithmic trading models that require secure, on-premises data processing and GPU acceleration.
Healthcare & Life Sciences
Facilitates AI for medical imaging analysis, drug discovery, and genomic sequencing, where data privacy and control are paramount, requiring dedicated GPU resources.
Education & Research
Provides researchers and academic institutions with the tools to manage and utilize GPU clusters for complex simulations and AI model training without relying solely on external cloud services.
Frequently Asked Questions
What is NVIDIA RUN:AI?
NVIDIA RUN:AI is a platform designed to help organizations manage and orchestrate GPU resources for artificial intelligence and machine learning workloads, particularly in self-hosted or on-premises environments.
What does 'self-hosted' mean in this context?
Self-hosted means the RUN:AI platform and your GPU hardware are deployed and managed within your own data center or on your own premises, rather than using a cloud provider's infrastructure.
What is the benefit of a 5-month license term?
A 5-month term offers flexibility for project-based AI initiatives, allowing businesses to access the RUN:AI platform's capabilities for a defined period without a long-term commitment, ideal for testing or specific development cycles.
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.