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Sovereign AI infrastructure

End-to-end AI compute under one sovereign umbrella. Designed here. Manufactured here. Supported here.

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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
AI Computing/AI VIDYA/Higher Education

GPU-Accelerated AI Labs for India's Colleges & Universities.

Research-grade AI infrastructure for engineering colleges, universities, IITs, NITs, and AICTE-approved institutions. Deep learning, generative AI, MLOps, and domain AI — powered by NVIDIA GPUs, built by a Make-in-India OEM.

एआई विद्या — उच्च शिक्षा, उच्च तकनीक

52,000+
Colleges in India
1,355
Universities
8,400+
AICTE Institutions
50%
BTech AI/ML Seat Increase (2024–25)
The Moment

Higher education is racing to build AI capability

AICTE has declared 2025 the "Year of AI" with programmes targeting 40 million students across 14,000 institutions. BTech AI/ML seat approvals have increased 50%. The demand for GPU-accelerated labs is immediate.

AICTE Year of AI

Programmes targeting 40 million students across 14,000+ AICTE-approved institutions. AI/ML curriculum integration is now a mandate, not a choice.

50% More AI/ML Seats

AICTE increased BTech seat approvals for AI/ML by 50% in 2024–25. GenAI course enrolments in India grew 107% YoY to 2.6 million — the highest globally.

The Employment Imperative

AI-skilled workers earn a 43% higher wage premium. NITI Aayog projects 8 million new AI jobs this decade. Your graduates need GPU-level skills, not just theory.

Institutions We Serve

Every type of higher education institution

भारतीय संस्थानों के लिए, भारतीय OEM से

From a single-department AI lab to a campus-wide multi-building deployment — we design for your institution's scale, research ambitions, and procurement framework.

Engineering Colleges (AICTE)

8,400+ institutions

BTech AI/ML, CSE, IT, ECE departments. Labs need GPU workstations for deep learning, capstone projects, and placement-ready portfolios.

Universities

1,355 universities

New AI/ML Masters and PhD programmes mandated. High-value deployments with AI servers, multi-GPU workstations, and research infrastructure.

IITs & NITs

23 IITs · 31 NITs

Research-grade infrastructure: AI-PODs, multi-GPU clusters, high-speed networking. Faculty-led research projects needing serious compute.

Deemed Universities

Manipal, VIT, SRM, Amity...

Large private universities with multiple campuses. Campus-wide deployments, premium branding, and AI centre-of-excellence ambitions.

State Universities

450+ state universities

Serving the bulk of India's higher education students. Government-funded, GeM procurement. Standardized lab solutions for scale.

Autonomous Colleges

Autonomous NAAC A+ institutions

Accreditation-driven buyers. AI labs as a differentiator for NAAC and NBA grading. Looking for certified AI education infrastructure.

Lab Configurations

Four lab scales for higher education

From a 100-seat department lab to a 300+ seat campus-wide deployment with AI-POD clusters. Every configuration includes GPU workstations, AI servers, and research-grade software.

Pro Lab

100 student seats + 4 GPU workstations + 1 AI server
Multi-room department lab for engineering colleges. Students train models on shared GPU workstations and serve inference on the AI server.
  • 100 RDP AI PCs (NPU, 16–32GB RAM, 512GB–1TB SSD)
  • 4 RDP GPU Workstations (NVIDIA RTX, 64GB+ RAM)
  • 1 RDP AI Server — Single Node (model training + inference)
  • Full enterprise networking + NAS storage
  • Tier B + C curriculum (Applications + Engineering)
  • Faculty training (5-day) + advanced AI workshops
  • AI Practitioner + Professional certification
  • 3-year warranty + AMC option
Ideal for: Engineering colleges, autonomous institutions, large departments

Campus Lab

300+ student seats + 12 GPU workstations + AI-POD
Multi-building campus-wide deployment with a turnkey AI-POD compute cluster. For universities establishing an AI centre of excellence.
  • 300+ RDP AI PCs across multiple buildings
  • 12+ RDP GPU Workstations (distributed across departments)
  • RDP AI-POD — Turnkey compute cluster for university research
  • Full data centre networking + centralized storage
  • Complete Tier C curriculum + domain-specific AI labs
  • Faculty training + research collaboration programme
  • Gold institution certification
  • 3-year warranty + dedicated on-site support
Ideal for: Large universities, deemed universities, multi-campus institutions

Department Starter

60 student seats + 2 GPU workstations
For colleges starting their AI lab journey. A single-department setup with shared GPU workstations for student projects and faculty research.
  • 60 RDP AI PCs (NPU, 16GB RAM, 512GB SSD)
  • 2 RDP GPU Workstations (NVIDIA RTX, 32GB+ RAM)
  • Enterprise networking + NAS storage
  • Tier B + C curriculum
  • Faculty training (5-day)
  • AI Practitioner + Professional certification
  • Bronze institution certification
  • 3-year warranty + AMC option
Ideal for: Smaller engineering colleges, new AI/ML departments
Hardware

Research-grade hardware built for AI workloads

Higher education labs need more than NPU-enabled PCs. They need GPU workstations for model training, AI servers for inference, and storage for datasets. Here's what powers AI VIDYA higher ed labs.

RDP AI PC Pro

The most capable student workstation. Built for Tier B and C curriculum — Python, TensorFlow, PyTorch, and local model inference.

  • Intel Core Ultra 9 / AMD Ryzen AI 9
  • 32GB RAM · 1TB SSD
  • NPU + discrete GPU
  • Windows 11 · CUDA-ready

RDP Workstation Pro

Dual-processor workstation for faculty research and shared student access. Handles multi-model training, large datasets, and parallel experiments.

  • Dual Xeon / AMD Threadripper
  • 64GB+ RAM (expandable to 256GB)
  • NVIDIA RTX 4000/5000 professional GPU
  • 2TB SSD · ECC memory

RDP AI Server — Single Node

On-premises AI server for local model training, inference serving, and student project hosting. The backbone of Pro and Elite labs.

  • Multi-GPU configuration (up to 8x)
  • High-bandwidth memory · NVLink
  • Enterprise management · 24/7 support
  • CUDA, TensorRT, PyTorch certified

RDP AI-POD (Turnkey Cluster)

Complete AI training cluster for university research departments. Distributed training, multi-tenant GPU sharing, and data centre integration.

  • Multi-node GPU cluster
  • High-speed interconnect fabric
  • Centralized storage + data pipelines
  • Kubernetes orchestration
Curriculum

Tier C — AI Engineering curriculum

Aligned with AICTE BTech AI/ML and university AI programmes. Students move beyond basics into deep learning, generative AI, MLOps, and original research — all on GPU-accelerated hardware.

Tier C

AI Engineering

Higher Education · BTech / MTech / PhD · Aligned with AICTE BTech AI/ML, University AI Programmes
Module What Students Learn Tools & Software
Deep Learning Neural networks, CNNs, RNNs, transformers, GANs, training at scale PyTorch, TensorFlow, CUDA, RDP GPU Workstations
Generative AI LLMs, prompt engineering, fine-tuning, RAG, multi-modal AI Ollama, LangChain, Hugging Face, Open-source LLMs
MLOps & Deployment Model versioning, CI/CD for ML, containerization, edge deployment Docker, MLflow, FastAPI, RDP Edge PCs
AI Infrastructure GPU computing, distributed training, data pipelines, cloud vs. on-prem RDP AI Servers, Kubernetes, NVIDIA tools
Domain AI Labs AI for Healthcare, Finance, Manufacturing, Agriculture, NLP for Indian languages Domain-specific datasets and frameworks
Research Project Original research, paper writing, conference presentation Full lab access: GPU Workstations + AI Servers
PyTorch TensorFlow CUDA Ollama LangChain Hugging Face Docker MLflow FastAPI Kubernetes OpenCV NLTK spaCy

Higher ed labs also include Tier B curriculum for foundation-level students transitioning into AI/ML programmes.

Pre-Loaded Software

Enterprise-grade AI software stack

Every PC and workstation ships with the complete development environment pre-installed. No setup, no dependency nightmares, no IT overhead.

PyTorch + TensorFlow

Deep learning frameworks, CUDA-optimized

Ollama + LangChain

Run LLMs locally, build RAG pipelines

Python + Jupyter + VS Code

Complete development environment

Docker + MLflow

Containerization and model versioning

OpenCV + YOLO

Computer vision and object detection

NLTK + spaCy + HF

NLP frameworks and Hugging Face models

Git + Postman + Node.js

Development tools and API testing

AI VIDYA Portal

Lab management, progress tracking, certification

Software Licensing Note: Pre-loaded software includes both licensed and open-source components. Microsoft Windows and Office 365 licences are included with every RDP AI PC. Open-source tools (PyTorch, TensorFlow, Docker, Jupyter, Scratch, etc.) are provided under their respective open-source licences at no additional cost. Some third-party tools may require separate registration or licences — details are provided during lab setup.
Domain AI Labs

AI labs mapped to real-world domains

Beyond generic AI/ML — our curriculum includes domain-specific AI labs so students build skills that translate directly into industry roles and research projects.

AI for Healthcare

Medical image analysis, drug discovery, patient outcome prediction, clinical NLP on Indian health data.

AI for Agriculture

Crop disease detection, yield prediction, precision farming, satellite imagery analysis for Indian agriculture.

AI for Manufacturing

Quality inspection, predictive maintenance, defect detection, Industry 4.0 integration on production data.

AI for Finance

Fraud detection, credit scoring, algorithmic trading, risk modelling on Indian financial datasets.

NLP for Indian Languages

Hindi, Tamil, Telugu, Bengali NLP models. Translation, sentiment analysis, and voice AI for Indian languages.

AI for Climate

Weather prediction, pollution modelling, renewable energy optimization, environmental monitoring.

Certification

What your graduates walk away with

Industry-recognized AI certification that enhances placement outcomes and institutional credibility. Designed for co-certification with India's leading academic and industry bodies.

RDP AI Professional

For students completing Tier C curriculum

Advanced skills in deep learning, NLP, generative AI, MLOps, and model deployment. Demonstrated through a proctored exam, research project, and viva.

Assessment: Proctored exam + research project + viva · Validity: 3 Years (renewable)

RDP AI Practitioner

For students completing Tier B (foundation-level)

For students entering AI programmes from non-CS backgrounds. Validates Python, basic ML, and data skills before advancing to Tier C.

Assessment: Online exam + capstone project · Validity: 5 Years

Institution Certification

Silver (Pro/Elite) · Gold (Campus)

Your institution earns "RDP AI Education Lab Certified" designation. Use in NAAC/NBA accreditation filings, marketing, and recruitment communications.

Renewed annually based on lab utilization, student outcomes, and research output

Co-Certification Partners Planned

Planned dual-branded certificates for placement advantage

Designed for co-branding with NASSCOM, AICTE, NVIDIA Deep Learning Institute, Intel AI for Youth, IBM SkillsBuild, Google for Education, and Microsoft Imagine Academy. Partnerships being formalised.

Significantly enhances graduate employability and institutional ranking

Ready to build a world-class AI lab?

Whether you're a single department or an entire campus — we'll design the right AI infrastructure for your programmes, your research, and your budget. Your students deserve GPU-level skills, not just textbook theory.

Make-in-India infrastructure. World-class AI capability. One trusted OEM partner.