NVIDIA RUN:AI Per GPU Self-Hosted License
The NVIDIA RUN:AI Per GPU Self-Hosted license provides 9 months of access to advanced AI platform capabilities for your organization's internal IT infrastructure.
- License Term: Enjoy 9 months of access to the RUN:AI platform's features and functionalities.
- Billing Model: Subscription-based licensing ensures predictable costs for your AI initiatives.
- Self-Hosted Deployment: Deploy and manage the RUN:AI platform within your own data center or private cloud environment.
- GPU Optimization: Unlock the full potential of your NVIDIA GPUs for demanding AI and machine learning workloads.
Product Overview
Product Overview
This is a 9-month subscription license for the NVIDIA RUN:AI platform, designed for self-hosted deployments. It grants your organization the right to utilize the RUN:AI software on your own hardware, enabling advanced AI and machine learning operations within your private infrastructure.
IT Managers and IT Professionals in SMB and mid-market companies use this license to manage and optimize GPU resources for AI development and deployment. It fits within an existing on-premises or private cloud environment, providing a controlled and secure platform for data science teams.
- AI Orchestration: Streamline the deployment and management of AI/ML workloads across your GPU infrastructure.
- Resource Optimization: Efficiently allocate and monitor GPU resources to maximize utilization and performance.
- Developer Productivity: Provide data scientists and ML engineers with a self-service platform for experimentation and model training.
- Scalable Operations: Easily scale your AI initiatives by managing resources effectively within your own environment.
- Compliance and Control: Maintain full control over your data and AI models with a self-hosted solution.
This NVIDIA RUN:AI license is ideal for businesses seeking to build and manage their AI capabilities on-premises without the overhead of public cloud solutions.
What This Enables
Enable AI Model Development and Training
Enable teams to develop, train, and deploy AI and machine learning models efficiently. Streamline the process of provisioning GPU resources for data scientists and ML engineers, accelerating innovation cycles.
on-premises data centers, private cloud environments, hybrid cloud deployments, GPU-intensive workloads
Optimize GPU Resource Utilization
Streamline the allocation and monitoring of valuable GPU resources across multiple projects and users. Automate the process of managing GPU clusters to ensure maximum performance and minimize idle time.
shared infrastructure environments, high-performance computing clusters, research and development labs, resource-constrained IT departments
Ensure Self-Hosted AI Compliance
Automate compliance with internal data governance policies by keeping AI workloads and sensitive data within your own controlled environment. Maintain full visibility and control over your AI infrastructure and intellectual property.
regulated industries, data privacy-focused organizations, businesses with strict security requirements, on-premises IT strategy
Key Features
Per GPU Licensing
Provides granular control and cost management for AI infrastructure based on the number of GPUs utilized.
Self-Hosted Deployment
Allows organizations to maintain full control over their data, security, and AI models within their own data centers.
AI Orchestration Capabilities
Simplifies the deployment, management, and scaling of AI and machine learning workloads across GPU resources.
9-Month Subscription Term
Offers a defined period of access to the RUN:AI platform, suitable for project-based needs or initial AI adoption.
NVIDIA GPU Integration
Optimizes performance and compatibility with NVIDIA's leading GPU hardware for demanding AI tasks.
Industry Applications
Manufacturing & Industrial
Enables AI-driven optimization in manufacturing processes, predictive maintenance, and quality control through efficient GPU resource management for internal AI development.
Finance & Insurance
Supports AI applications for fraud detection, risk assessment, and algorithmic trading by providing a controlled, self-hosted environment for sensitive financial data and model training.
Healthcare & Life Sciences
Facilitates AI research in drug discovery, medical imaging analysis, and personalized medicine, ensuring data privacy and compliance within a self-managed infrastructure.
Education & Research
Empowers academic institutions and research labs to conduct advanced AI and machine learning studies by providing scalable and manageable GPU resources for their internal projects.
Frequently Asked Questions
What is NVIDIA RUN:AI?
NVIDIA RUN:AI is a platform designed to help organizations manage and orchestrate AI and machine learning workloads on GPU-accelerated infrastructure. It provides tools for resource management, job scheduling, and monitoring.
What does 'Per GPU Self-Hosted' mean?
It means the license is priced based on the number of GPUs you intend to use with the RUN:AI platform, and the software is deployed and managed within your own data center or private cloud environment, not in a public cloud.
What is the duration of this license?
This specific offering is for a 9-month subscription term, providing access to the RUN:AI platform's capabilities for that period.
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.