India's value-for-money IT hardware brand
14 years. 28,000 sq ft. 100,000+ devices. From desktops to data center — designed, engineered, and manufactured in India.
Why choose RDPDesktops to data center, all Make in India
14 product categories across compute, AI, and data center. Deployment-ready from our 28,000 sq ft facility.
Download Product CatalogSovereign AI infrastructure
End-to-end AI compute under one sovereign umbrella. Designed here. Manufactured here. Supported here.
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SLA-driven. Not ticket-driven.
Warranty. SLA. On-site service. Account management. Every commitment documented, every response time defined.
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Built on process, not promises
ISO 9001. PLI 2.0. SOP-led manufacturing. The systems behind every device we ship.
Our Story
University AI Lab.
40-Seat AI Lab with Shared GPU Server.
Complete 40-seat AI/ML lab infrastructure with student dev kits, faculty workstations, and shared GPU training server. Single PO, single vendor. NEP 2020 and AICTE aligned. Pre-loaded with 50+ guided projects across computer vision, NLP, and robotics.
University AI Lab — System Architecture
A turnkey AI lab where every student gets a Jetson Orin Nano dev kit for hands-on edge AI development — computer vision, NLP, robotics, and generative AI. Faculty workstations provide model development and courseware creation capability. A shared GPU server enables batch training jobs and multi-student model experimentation. The entire lab comes pre-loaded with 50+ guided projects, datasets, and a curriculum mapped to NEP 2020 outcomes.
How the tiers connect
Student Workstation Tier
Each student gets a Jetson Orin Nano dev kit connected to a monitor and peripherals. The kit runs real-time inference locally — students can train small models, run object detection on live camera feeds, and deploy edge AI applications without waiting for server time.
Faculty & Management Tier
Faculty workstations provide higher compute (Orin NX) for model development, courseware creation, and live demonstration. Faculty can monitor student progress, review submissions, and manage lab resources through a web dashboard.
Shared Training Server
The AGX Orin GPU server runs JupyterHub for multi-student training jobs. Students submit training experiments via the LAN — the server queues and executes them, making GPU compute available to the entire class without per-student GPU investment.
Complete BOM — every component specified
All components are RDP-validated, GeM-listed, and available as a single-vendor procurement package. Quantities shown are for a typical deployment — contact us for exact sizing.
| Component | Platform | Specifications | Qty | Role |
|---|---|---|---|---|
| Student AI Dev Kit | NVIDIA Jetson Orin Nano (67 TOPS) | 8GB RAM, 128GB microSD, USB camera, GPIO breakout, carrying case, power adapter | 40 | Hands-on AI development — image classification, object detection, NLP, robotics projects |
| Student Monitor + Peripherals | 22" FHD monitor, keyboard, mouse | 1080p IPS, VESA mount, USB keyboard/mouse, headphones | 40 | Student workstation display and input |
| Faculty Workstation | NVIDIA Jetson Orin NX (100 TOPS) | 16GB RAM, 512GB NVMe, dual display output, full JetPack SDK, 27" 4K monitor | 2 | Model development, courseware creation, student project review, live demo |
| Lab GPU Server | NVIDIA Jetson AGX Orin (275 TOPS) | 64GB RAM, 2TB NVMe, 10GbE, shared Jupyter Hub, multi-user training server | 1 | Batch model training, shared datasets, student experiment server, model repository |
| Lab Network Switch | Managed Gigabit switch | 48-port GigE, 4× 10G SFP+ uplinks, VLAN, QoS for training traffic | 1 | High-speed LAN connecting all kits to GPU server and faculty workstations |
| Lab Projector / Display | Interactive 75" display or laser projector | 4K, HDMI/USB-C, touch-enabled (display) or 5000-lumen (projector) | 1 | Live demo, code walkthrough, student presentation |
| Robotics Accessory Kit (optional) | Robot chassis + sensors | 2WD/4WD chassis, LIDAR, IMU, servo motors, ultrasonic sensors, ROS2 compatible | 10 (shared) | Robotics projects — autonomous navigation, SLAM, obstacle avoidance |
| Pre-loaded Curriculum | RDP VIDYA.AI courseware | 50+ guided projects, datasets, Jupyter notebooks, assessment rubrics, faculty guide | Site licence | NEP 2020-aligned AI/ML curriculum across 4 semesters |
What you need to deploy
Power
Lab total: ~3 kW (40 kits × 25W + faculty + server + peripherals). Standard 15A power circuits sufficient.
Cooling
Standard air-conditioned lab (20–28°C). No special cooling required — all devices are low-power.
Connectivity
Gigabit LAN within lab (required). Internet (optional) — for software updates, cloud dataset access, and remote support.
Space
Standard 40-seat computer lab (80–100 sq.m). Each desk needs 1 power socket and 1 LAN port.
Installation
RDP provides lab design, network cabling layout, hardware setup, software pre-loading, curriculum installation, and 2-day faculty FDP (Faculty Development Programme)
Standards and regulatory alignment
- NEP 2020 AI/ML curriculum alignment
- AICTE model curriculum compatible
- UGC LOCF compliant
- NAAC/NBA documentation support
- GeM-listed (single PO procurement)
- Make in India certified
- VIDYA.AI education partner programme
Ready to deploy University AI Lab?
Share your scale, site requirements, and timeline. We’ll customise this reference architecture to your exact deployment — from BOM to commissioning.