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NVIDIA RUN:AI Per GPU Self-Hosted, EDU, 1 Month License
Nvidia·MPN: 744-RA7001+P2EDI01

NVIDIA RUN:AI Per GPU Self-Hosted, EDU, 1 Month License

NVIDIA RUN:AI Per GPU Self-Hosted EDU license provides essential AI development platform access for educational institutions for one month.

  • License Term: Provides access for a 1-month subscription period.
  • Platform Access: Unlocks core RUN:AI platform features for GPU-accelerated workloads.
  • Educational Focus: Tailored licensing for academic research and teaching environments.
  • Self-Hosted Deployment: Enables deployment within your own data center or private cloud infrastructure.
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Subscription Management
Authorized License
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$51.46
Per User/Year
Billed Annually
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Product Overview

This is a 1-month subscription license for NVIDIA RUN:AI, specifically designed for self-hosted deployments in educational settings. It grants access to the RUN:AI platform's capabilities, enabling researchers and students to manage and orchestrate AI workloads efficiently on their own hardware.

IT Managers and IT Professionals in educational institutions utilize this license to provide a controlled and compliant environment for AI development and experimentation. It fits within existing on-premises infrastructure, allowing for direct control over data and resources.

  • GPU Orchestration: Manage and schedule AI training and inference jobs across available GPUs.
  • Resource Management: Allocate and monitor GPU resources for different projects and users.
  • Workload Isolation: Ensure secure and isolated environments for diverse AI experiments.
  • Simplified Deployment: Facilitates easier setup and management of AI development stacks.
  • Cost-Effective Access: Provides short-term access to powerful AI platform features for specific projects or semesters.

This NVIDIA RUN:AI license is ideal for educational teams needing focused, short-term access to advanced AI development tools within their own infrastructure.

What This Enables

Enable AI Research Projects

Enable teams to efficiently manage and schedule AI training and inference jobs across available GPUs for specific research initiatives. This ensures that computational resources are utilized effectively for academic pursuits.

on-premises GPU clusters, research labs, academic computing centers, private cloud deployments

Streamline AI Education Workloads

Streamline the deployment and management of AI development environments for students in courses and workshops. This provides a consistent and accessible platform for learning and experimentation.

university computer labs, teaching facilities, remote learning platforms, on-premises infrastructure

Automate GPU Resource Allocation

Automate the allocation and monitoring of GPU resources, ensuring fair access and preventing conflicts between different research groups or student projects. This optimizes the use of expensive hardware assets.

shared computing environments, multi-user research facilities, on-premises data centers, private cloud infrastructure

Key Features

GPU Orchestration and Scheduling

Maximizes the utilization of expensive GPU hardware by efficiently managing and assigning workloads.

Workload Isolation

Ensures that different AI projects and users operate in secure, independent environments, preventing interference and data leakage.

Self-Hosted Deployment

Provides full control over data, security, and infrastructure within the institution's own data center or private cloud.

Educational Licensing

Offers a cost-effective way for academic institutions to access advanced AI platform capabilities for teaching and research.

1-Month Subscription Term

Provides flexibility for time-bound projects, pilot programs, or semester-long courses without long-term financial obligations.

Industry Applications

Education & Research

This license is specifically tailored for educational institutions, providing them with the tools needed for AI research and teaching on their own infrastructure.

Healthcare & Life Sciences

Academic medical research centers and universities within this sector can utilize this license for AI-driven medical imaging analysis, drug discovery simulations, and genomic research.

Manufacturing & Industrial

Research departments at technical universities or industrial R&D labs can use this for AI-powered simulations, predictive maintenance research, and advanced materials science.

Government & Public Sector

Government-funded research institutions or university programs focused on public sector challenges can leverage this license for AI model development in areas like urban planning or public safety research.

Frequently Asked Questions

What is NVIDIA RUN:AI?

NVIDIA RUN:AI is a platform designed to help organizations manage and orchestrate AI workloads, particularly for training and inference, across GPU resources. It simplifies the deployment and scaling of AI development environments.

Who is this license intended for?

This specific license is intended for educational institutions, including universities and research facilities, for use in self-hosted environments. It is designed for academic research and teaching purposes.

What does 'self-hosted' mean?

Self-hosted means the RUN:AI platform will be deployed and managed on your organization's own hardware and infrastructure, rather than being a cloud-based SaaS offering.

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.

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