Empower students with hands-on AI experience using Dell Pro Max GB10. Run 200B+ parameter models, train LLMs, and deploy real-world AI projects—all on-campus with NATS/NAPS certification support.
From admissions to research, AI becomes an institutional capability — not a risky experiment.
Data Protection First: Universities generate highly sensitive academic, student, and research data. On-prem AI ensures complete control and FERPA/GDPR compliance.
Preserve Institutional IP: Teaching materials and pedagogy represent decades of intellectual capital. Local AI keeps your methods and content secure.
Regulatory Readiness: Public and private institutions require audit trails, ethical oversight, and policy alignment. On-prem infrastructure provides transparency and control.
Sustainable Model: Dedicated AI compute (servers, GPUs) is foundational infrastructure — like libraries and labs — not optional software.
With the right AI compute and private AI architecture, universities can activate AI across 12 critical focus areas.
Scroll through focus areas to explore detailed metrics and implementation timelines
Use arrow buttons or scroll to explore all focus areas
Just as universities invested in libraries, computer labs, and research facilities, AI compute is now foundational infrastructure. GPUs, AI servers, and dedicated AI workstations are not optional software—they are the backbone of modern academic excellence.
Like Libraries
Central resource for knowledge access and research
Like Computer Labs
Hands-on learning with industry-standard tools
Like Research Facilities
Enables breakthrough discoveries and innovation
Universities that control compute control their AI future.
The question is no longer whether universities should adopt AI — but whether they will lead it responsibly. Start with one department, one workload, one pilot.
Purpose-built AI infrastructure that transforms theoretical knowledge into practical industry-ready skills
Students work with the same NVIDIA DGX Spark tools used by Fortune 500 companies. Train on real GB10 hardware, not simulations.
NATS/NAPS certified students achieve 80%+ job placement within 90 days. Employers value hands-on GB10 experience.
Eliminate recurring cloud GPU costs. One GB10 serves 20-50 students simultaneously with unlimited training hours.
Real-world AI projects that become portfolio pieces for job applications
Train custom vision-language models on domain-specific data (medical imaging, satellite data, manufacturing defects)
Build intelligent document Q&A systems for research papers, textbooks, and institutional knowledge bases
Deploy computer vision pipelines for activity recognition, anomaly detection, and surveillance systems
Design collaborative AI agents for research, customer service, and autonomous decision-making
Create text-to-image, code generation, and synthetic data generation tools for research and business
Build end-to-end ML systems with data validation, model monitoring, and continuous improvement
Our curriculum is aligned with NATS (National AI Talent Summit) and NAPS (National AI Placement Standard) frameworks, ensuring students meet industry standards and achieve rapid job placement.
Join leading universities across India in deploying on-prem AI infrastructure. Get started with a pilot program today.