NITK Surathkal Launches NOMAD, a Mobile AI Platform for Remote Field Deployment
NITK Launches NOMAD Mobile AI Platform for Remote Field Use

NITK Surathkal Unveils NOMAD: A Pioneering Mobile AI Platform for Remote and Disaster-Prone Environments

The National Institute of Technology Karnataka (NITK), Surathkal, has officially launched NOMAD (Node for Open-source Mobile AI Deployment), a fully operational and innovative AI research platform specifically engineered for deployment in challenging field conditions. This groundbreaking initiative addresses a critical gap in modern technology by providing reliable, on-site AI computing capabilities in areas where traditional cloud infrastructure is often inaccessible or fails.

Addressing Infrastructure Gaps in Real-World Scenarios

As artificial intelligence systems increasingly rely on centralized data centers, environments such as disaster zones, coastal regions, and remote research sites face persistent obstacles including poor connectivity, unstable power supplies, and inadequate infrastructure. NOMAD is built to function seamlessly in these resource-constrained settings, enabling real-time data processing and decision-making where conventional systems cannot operate effectively. By moving compute power to the edge, this platform ensures that AI-driven insights remain available even during crises like landslides or flooding, where timely information is crucial but network reliability is low.

Self-Sufficient Design and Robust Features

Housed within a repurposed shipping container at NITK's beachfront SEARCH research station along the Arabian Sea coast, NOMAD operates as a completely self-sufficient system. Its power infrastructure is ensured through four independent sources:

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  • Grid supply for baseline energy needs.
  • Rooftop solar panels for renewable power generation.
  • A towable 15kW solar-battery unit for portable energy solutions.
  • A diesel generator with UPS backup to guarantee uninterrupted operation.

Connectivity is secured with triple redundancy, integrating institutional fiber optics, broadband internet, and a wireless bridge to maintain stable links. The compute stack combines open-source clusters and edge devices with high-capacity storage, while plans are underway to integrate institutional high-performance computing (HPC) resources. The workspace supports advanced research and teaching, offering immersive learning capabilities for students and researchers alike.

Strategic Focus and Leadership Support

Conceived by Dr. Pruthviraj U, an associate professor in the department of water resources and ocean engineering at NITK, NOMAD's current research focus includes:

  1. Edge AI architecture development for optimized performance in field conditions.
  2. AI-driven water systems to enhance resource management in coastal areas.
  3. Coastal disaster intelligence, enabling local data processing during emergencies.

The initiative is actively supported and mentored by Padmanand Warrier, a distinguished NITK alumnus from the 1981 batch in Electrical and Electronics Engineering, who brings extensive experience in large-scale systems and innovation. In a statement, Warrier emphasized, "The next frontier in AI is pushing innovation at the edge. In coastal disasters such as landslides, the infrastructure we depend on is often the first to fail. NOMAD demonstrates that advanced AI can continue to function in those conditions, bringing compute closer to where time-sensitive decisions must be made."

Future Expansion and Academic Integration

NITK plans to expand NOMAD through interdisciplinary projects and integration into academic programs, fostering collaboration across fields like engineering, environmental science, and data analytics. Co-located within the SEARCH complex with living quarters, the platform enables continuous, on-site field work, making it an ideal hub for long-term research in remote settings. This launch marks a significant step toward resilient and accessible AI technology, poised to transform how we handle crises and conduct research in the most challenging environments worldwide.

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