NVIDIA RUN:AI Self-Hosted Platform License
NVIDIA RUN:AI self-hosted platform licensing provides essential capabilities for managing and optimizing GPU resources for AI workloads over a 3-month term.
- License Term: Subscription-based access for 3 months, ensuring flexibility for project-based needs.
- Platform Management: Enables efficient orchestration and utilization of NVIDIA GPUs for AI and deep learning tasks.
- Self-Hosted Deployment: Allows organizations to maintain full control over their AI infrastructure and data.
- Feature Access: Unlocks advanced features for AI model training, inference, and resource allocation.
Product Overview
Product Overview
This is a 3-month subscription license for the NVIDIA RUN:AI self-hosted platform. It grants businesses the ability to manage and optimize their GPU infrastructure for artificial intelligence and machine learning workloads within their own data centers.
IT Managers and IT Professionals in SMB and mid-market companies utilize this license to streamline AI development pipelines, ensure efficient GPU utilization, and maintain compliance with software licensing agreements. It integrates into existing on-premises hardware environments.
- GPU Orchestration: Efficiently allocate and manage GPU resources across multiple users and projects.
- AI Workflow Acceleration: Accelerate the entire AI lifecycle from data preparation to model deployment.
- Resource Monitoring: Gain visibility into GPU usage and performance to optimize operations.
- Scalable Infrastructure: Build and scale AI capabilities on your own hardware.
- Compliance Assurance: Maintain proper licensing for your AI development tools.
This NVIDIA RUN:AI license is ideal for SMB and mid-market teams seeking to enhance their AI capabilities without the overhead of cloud-based solutions.
What This Enables
Enable AI Model Training and Development
Enable teams to efficiently train complex AI and machine learning models by providing optimized access to on-premises GPU resources. Streamline the process of allocating compute power for data scientists and researchers.
on-premises data centers, dedicated GPU servers, hybrid cloud environments, internal R&D teams
Streamline GPU Resource Management
Streamline the allocation and management of valuable GPU assets across multiple projects and users. Automate resource provisioning and de-provisioning to maximize hardware utilization and reduce idle time.
shared compute clusters, multi-tenant environments, IT-managed infrastructure, resource optimization initiatives
Automate AI Inference Deployment
Automate the deployment of trained AI models for inference tasks, ensuring consistent performance and availability. Simplify the process of scaling inference workloads based on demand.
production AI services, real-time analytics, edge computing deployments, application integration
Key Features
GPU Orchestration and Scheduling
Maximizes GPU utilization and ensures fair access for all AI development tasks, reducing hardware waste and improving project timelines.
Containerized AI Workloads
Simplifies deployment and management of AI applications by leveraging container technology, ensuring consistency across development and production environments.
Centralized Monitoring and Analytics
Provides IT teams with clear visibility into GPU performance and usage, enabling proactive management and informed capacity planning.
Self-Hosted Control
Allows organizations to maintain full control over their data, security, and AI infrastructure, meeting strict compliance and privacy requirements.
Subscription-Based Licensing
Offers a flexible and cost-effective way to access advanced AI platform capabilities for defined project durations.
Industry Applications
Manufacturing & Industrial
Enables the development and deployment of AI models for predictive maintenance, quality control, and process optimization on-premises, crucial for operational efficiency and uptime.
Finance & Insurance
Supports the development of AI applications for fraud detection, risk assessment, and algorithmic trading within secure, controlled environments to meet stringent regulatory requirements.
Healthcare & Life Sciences
Facilitates AI-driven research, drug discovery, and medical imaging analysis on sensitive patient data, requiring robust on-premises control and compliance.
Education & Research
Provides academic institutions with the tools to empower researchers and students in AI and machine learning, enabling advanced computational research without relying solely on external cloud resources.
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. It enables efficient sharing, scheduling, and monitoring of GPUs within a self-hosted environment.
What does 'self-hosted' mean in this context?
Self-hosted means the NVIDIA RUN:AI platform and your AI workloads run on your own on-premises hardware and infrastructure, rather than on a public cloud provider's servers. This gives you greater control over your data and environment.
What is the benefit of a 3-month license term?
A 3-month term provides flexibility for project-based AI initiatives or for organizations wanting to trial the platform's capabilities before committing to a longer-term subscription. It allows for agile resource planning.
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.