Description
The NVIDIA 744-RA7001+P2EDR26 is a 26-month renewal of an NVIDIA Run:ai subscription, licensed per GPU. It allows organizations with an existing Run:ai deployment to continue their software entitlement. This EDU edition is intended for qualifying education customers.
NVIDIA Run:ai is a Kubernetes-based AI workload and GPU orchestration platform. Its AI-aware scheduler prioritizes and allocates GPU resources based on workload needs, and GPU fractioning lets multiple workloads share a single GPU by requesting a portion of its memory. Administrators can organize teams into projects and departments, apply role-based access control and policies for fair resource distribution, and track real-time and historical GPU utilization across clusters.
Run:ai supports workloads such as Jupyter notebooks, distributed training, and auto-scaling inference, submitted through a UI, API, or CLI. It is intended for AI platform teams, research organizations, and enterprises that need to share GPU infrastructure across multiple users and projects.
PRODUCT HIGHLIGHTS
- 26-month renewal of an NVIDIA Run:ai subscription
- Licensed per GPU
- Kubernetes-based GPU orchestration and AI workload management platform
- AI-aware scheduler that prioritizes and allocates GPUs based on workload needs
- GPU fractioning to share a single GPU across multiple workloads
- Projects, departments, and role-based access control (RBAC) for multi-team environments
- Policy enforcement for fair GPU resource distribution
- Real-time and historical GPU utilization visibility for capacity planning and cost tracking
- Supports notebooks, distributed training, and auto-scaling inference via UI, API, or CLI
- EDU edition for qualifying education customers
TECHNICAL SPECIFICATIONS
| Specification | Details |
|---|---|
| Brand | NVIDIA |
| Manufacturer Part Number | 744-RA7001+P2EDR26 |
| Product Type | Software Subscription Renewal |
| Product Family | NVIDIA Run:ai |
| License Type | Subscription Renewal |
| Licensing Metric | Per GPU |
| Subscription Term | 26 Months |
| Platform | Kubernetes |
| Key Capabilities | AI workload scheduling, GPU fractioning, RBAC, GPU utilization monitoring |
| Supported Workloads | Jupyter notebooks, distributed training, auto-scaling inference |
| Customer Segment | Education (EDU) |
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Return Policy (Short Summary)
We offer a 30-day return window for most unopened, factory-sealed items.
Returns must be authorized before shipping back and must include all original packaging and accessories. Opened or used items are not returnable unless defective.
Some products—such as custom orders, special-order items, audio gear, software, and LED video walls—are non-returnable. Non-defective returns may be subject to a 20–30% restocking fee, and customers are responsible for return shipping costs.
For damaged or incorrect items, please contact us immediately.
From Scope to Sign-Off
A structured delivery process designed to reduce risk and keep projects moving.
Plan
Discovery, site review, requirements gathering, and project alignment. We define scope, constraints, and success criteria before any design work begins.
- Discovery calls & stakeholder interviews
- On-site survey & infrastructure review
- Requirements & use-case documentation
- Project scope, timeline & milestone alignment
Engineer
System design, schematics, signal flow, BOM development, and documentation. Every project leaves this phase with a complete engineering package.
- AV system design & signal flow diagrams
- Equipment selection & BOM development
- Rack layout & control system design
- As-built documentation package
Deploy
Procurement, logistics, installation, programming, commissioning, and training. We own the delivery from first shipment to final handoff.
- Authorized procurement & logistics coordination
- Physical installation & cable management
- Control system programming & configuration
- Commissioning, testing & end-user training
Support
Monitoring, maintenance, lifecycle planning, and long-term service agreements. We stay engaged long after project close.
- 24/7 remote system monitoring
- Preventive & reactive maintenance
- Technology lifecycle & refresh planning
- Long-term service level agreements
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