Content :

1. India’s Common Compute Capacity Crosses 34,000 GPUs
2. DHRUVA (Digital Hub for Reference and Unique Virtual Address)

India’s Common Compute Capacity Crosses 34,000 GPUs

AI Ecosystem Development

Compute Capacity Milestone:

• India’s national AI compute capacity has surpassed 34,000 GPUs (now at 34,333 GPUs).
  • 15,916 GPUs were recently added to the earlier 18,417 under the IndiaAI Compute Infrastructure.

Common Compute Platform:

• Aims to democratize AI access and provide training/inference capabilities to startups, academia, and researchers.
  • Supports development of indigenous AI models suited for the Indian context.

Relevance : GS 3(Science and Technology)

IndiaAI Mission – Key Pillars Strengthened

Foundation Model Development:

• Focus on India-specific, multilingual, and sector-focused AI models.
  • 506 proposals received under the Call for Foundation Models (as of April 30, 2025).

Three New Startups Selected:

• Soket AI:To build a 120B parameter open-source foundation model.Target: defense, healthcare, education, and Indian linguistic diversity.

• Gnani AI:Developing 14B parameter multilingual Voice AI model.Real-time speech processing and advanced reasoning.

• Gan AI:Working on a 70B parameter TTS (text-to-speech) model.Goal: Create “superhuman” voice synthesis surpassing global leaders.

Earlier Selection – Sarvam AI:

• Building India’s Sovereign LLM with 120B parameters.
  • Key applications: 2047 Citizen Connect, AI4Pragati.
  • Previously launched: Sarvam-1 (2B) and Sarvam-M (24B).

AI Kosh and Data Access

• 367 datasets uploaded to AI Kosh – India’s centralized AI dataset repository.
• Designed to offer high-quality, open, and diverse datasets for training Indian AI models.

AI Talent and Brain Gain

• IndiaAI Mission encourages reverse brain drain by creating:
  • Opportunities for Indian researchers abroad.
  • A comprehensive AI ecosystem including standards, compute, datasets, and capacity building.

IndiaAI I4C CyberGuard Hackathon

• Jointly organized with Indian Cyber Crime Coordination Centre (I4C).
• Objective: Enhance AI models to detect cybercrime trends via NCRP.
• Outcomes:
  • Models can interpret handwritten FIRs, screenshots, and audio complaints.
  • Helps in automated classification and trend identification in cybercrimes.

AI Compute Cost Structure

• 7 industry players provided competitive pricing for GPU access.
• CyFuture India Pvt. Ltd. emerged as L1 bidder for most categories including AMD, Intel, NVIDIA GPUs.
• Example Pricing (One-Month):
  • AMD MI300X (8X): ₹1389.904/hour.
  • Intel Gaudi 2 (8X): ₹374.4/hour.
  • NVIDIA A100 80GB (8X): ₹712.8/hour.
  • AWS Trainium (16X): ₹945/hour.

Strategic Significance

• Supports PM Modi’s vision of “Make AI in India, Make AI work for India”.
• Aims at technological sovereignty, ethical AI, and inclusive digital empowerment.
• India is positioning itself to be among the top 5 AI nations globally.

What is a GPU (Graphics Processing Unit)?

• Definition: A GPU is a specialized processor designed to accelerate graphics rendering and parallel computing tasks.
• Full Form: GPU stands for Graphics Processing Unit.
• Core Function: Originally built to render images and videos in computers and gaming consoles.
• Modern Use: Extensively used in AI/ML, scientific computing, data analytics, and deep learning due to its parallel processing capabilities.

DHRUVA (Digital Hub for Reference and Unique Virtual Address)

Background & Context

• Addressing Problem in India: India lacks a standardized digital address system, leading to inefficiencies in delivery of services, logistics, governance, and emergency response.
• Initiative of Department of Posts: Under the Ministry of Communications, the department is leveraging its nationwide physical presence and postal data assets to lead this digital transformation.
• Previous Milestone – DIGIPIN:
  • Digital Postal Index Number is a geo-coded, logical naming system that improves address discoverability.
  • Serves as the foundational layer for Geospatial Governance.

Relevance : GS 2(Governance)

What is DHRUVA?

• Full Form: Digital Hub for Reference and Unique Virtual Address.
• Core Objective: Create a national, digital, interoperable, and geocoded addressing system.
• Policy Nature: Serves as a blueprint for building a Digital Address Digital Public Infrastructure (DPI).

Key Components of DHRUVA

Digital Address as DPI:

• Treats addresses like Aadhaar or UPI IDs—as a critical public digital good.
  • Promotes interoperability and standardization.

Geo-Coded and Interoperable:

• Ensures addresses are tagged with precise geospatial coordinates, enabling location-specific targeting of services.

Address-as-a-Service (AaaS):

• Offers digital services around address creation, verification, updating, and consent-based sharing.
  • Facilitates seamless interaction among citizens, government departments, and private players.

Consent-Based Data Sharing:

• Empowers individuals to control and share their address data securely.
  • Enhances trust, privacy, and user autonomy in address-related transactions.

Key Objectives & Vision

Governance Efficiency:

• Enables targeted public service delivery, urban planning, property taxation, and emergency response.

Inclusive Development:

• Helps citizens in informal or unaddressed geographies (e.g., slums, rural areas) gain digital identity of location.

Logistics & E-commerce Boost:

• Reduces last-mile delivery errors, supports hyperlocal services, and optimizes supply chain efficiencies.

Financial Inclusion:

• Provides digital address proofs that can support KYC and banking access, especially for the unbanked.

Salient Features

• Open & Public: The system is intended to be freely accessible in the public domain.
• Co-Creation Framework:
  • Encourages public-private partnerships (PPPs) for developing address-related tools and APIs.
• Technological Neutrality:
  • Built as an open architecture, allowing private sector innovation while maintaining public oversight.

Strategic Importance

• Pillar of India’s DPI Ecosystem : Joins Aadhaar, UPI, Digilocker, and ONDC in building a Digital Bharat stack.
• Enabler for Smart Cities Mission : Precise digital addresses support urban mobility, resource allocation, and GIS-based planning.
• Bridges Digital Divide : Helps integrate marginalized communities into the formal digital economy.
• Boosts Ease of Living : Simplifies document submissions, delivery services, and utility registration processes.

Stakeholder Involvement

• Government: Ministries, state govts, municipal bodies for governance integration.
• Private Sector: Logistics, fintech, e-commerce, mapping services (e.g., Google Maps, MapMyIndia).
• Citizens: End-users and data owners with control and benefit from the ecosystem.

Call for Participation

• The government invites public feedback on the policy to ensure:
  • Inclusivity
  • Practical feasibility
  • Alignment with citizen needs
• Link to review and respond:
  🔗 DIGIPIN Policy Document

Implications Going Forward

• Digital Address to become KYC enabler just like Aadhaar.
• Could reduce dependence on physical proofs like utility bills for address verification.
• Acts as a foundational enabler for AI/ML-based urban analytics, climate resilience planning, and dynamic address-based datasets.