
NVIDIA RUN:AI Self-Hosted GPU Platform License
This NVIDIA RUN:AI self-hosted GPU platform license provides 8 months of access to advanced AI capabilities, ensuring your business stays at the forefront of artificial intelligence development.
- License Term: Enjoy 8 months of continuous access to the RUN:AI platform's features and functionalities.
- Billing Model: This subscription-based license offers predictable operational expenses.
- Platform Access: Unlock the full potential of your NVIDIA GPUs for demanding AI and machine learning workloads.
- Compliance & Operation: Maintain software compliance and ensure uninterrupted operation of your AI infrastructure.
Product Overview
Product Overview
The NVIDIA RUN:AI Per GPU Self-Hosted license provides essential access to NVIDIA's powerful AI orchestration platform for a defined 8-month term. This subscription unlocks advanced capabilities for managing and optimizing GPU resources, ensuring your AI workloads run efficiently and compliantly on your own infrastructure.
This license is designed for businesses that own and operate their own GPU hardware and require a robust platform to manage these resources for AI development, machine learning training, and inference. It is ideal for IT Managers and IT Professionals within SMB and mid-market companies looking to maximize their investment in AI hardware without the overhead of enterprise-level management solutions.
- AI Orchestration: Streamline the deployment and management of AI and machine learning workloads across your GPU fleet.
- Resource Optimization: Maximize GPU utilization and efficiency for training and inference tasks.
- Self-Hosted Control: Maintain full control over your data and infrastructure with a self-hosted deployment.
- Subscription Access: Benefit from a predictable 8-month subscription term for continuous platform availability.
- Compliance Assurance: Ensure your AI operations adhere to licensing requirements and internal policies.
This NVIDIA RUN:AI license empowers SMB and mid-market teams to efficiently manage their GPU infrastructure for AI initiatives.
What This Enables
Enable Efficient GPU Resource Management
Enable teams to dynamically allocate and manage GPU resources for various AI and machine learning projects. Streamline the process of deploying, monitoring, and scaling AI workloads across your self-hosted infrastructure.
on-premises data centers, hybrid cloud deployments, dedicated GPU servers, research and development environments
Optimize AI Model Training Performance
Streamline the complex process of training deep learning models by ensuring optimal GPU utilization and efficient data flow. Automate the provisioning of compute resources required for iterative model development and experimentation.
machine learning operations, data science teams, high-performance computing clusters, AI research initiatives
Ensure Licensing Compliance for AI Hardware
Automate the tracking and management of software licenses tied to your NVIDIA GPU hardware. Protect your organization from potential compliance gaps and associated risks by maintaining up-to-date licensing for your AI platforms.
regulated industries, IT asset management, internal audit processes, software license compliance
Key Features
GPU Orchestration and Scheduling
Maximizes the utilization of your NVIDIA GPU investment by intelligently allocating resources to AI workloads.
Self-Hosted Deployment Model
Provides complete control over your data and infrastructure, crucial for security-sensitive or proprietary AI projects.
Subscription-Based Licensing
Offers predictable costs and continuous access to platform updates and support for the 8-month term.
AI/ML Workload Management
Simplifies the deployment and management of complex AI and machine learning tasks, from training to inference.
Performance Monitoring and Analytics
Enables IT professionals to track GPU usage and performance, identifying bottlenecks and areas for optimization.
Industry Applications
Manufacturing & Industrial
Enables advanced AI for predictive maintenance, quality control, and process optimization using dedicated GPU resources.
Healthcare & Life Sciences
Supports AI-driven drug discovery, medical imaging analysis, and genomic research requiring significant GPU compute power.
Finance & Insurance
Facilitates AI for fraud detection, algorithmic trading, risk modeling, and customer analytics on proprietary data.
Education & Research
Provides researchers and students with the necessary tools to conduct advanced AI and machine learning experiments on campus or institutional hardware.
Frequently Asked Questions
What is the NVIDIA RUN:AI platform?
NVIDIA RUN:AI is a software platform designed to orchestrate and manage AI and machine learning workloads on GPU infrastructure. It helps organizations optimize resource utilization and streamline AI development and deployment.
What does 'Per GPU' licensing mean?
This licensing model typically means the subscription cost is based on the number of GPUs managed by the RUN:AI platform. It ensures you are licensed appropriately for the scale of your GPU deployment.
What is the benefit of a self-hosted solution?
A self-hosted solution provides maximum control over your data, security, and infrastructure. It is ideal for organizations with strict data residency requirements or those who prefer to manage their own hardware and software stack.
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.