IndiaAI Mission: National Cloud Compute Capacity Crosses 34,000 GPUs To Boost Indigenous AI Innovation

At the ‘IndiaAI – Make AI in India, Make AI work for India’ event, it was announced that India’s national common compute capacity on cloud has crossed 34000 GPUs.

The computing capacity added will boost the IndiaAI Mission by taking a significant leap toward strengthening indigenous AI capabilities.

About IndiaAI Mission

IndiaAI Mission is India’s own Foundation Model launched in the year 2024, to strengthen AI capabilities.
Implementation Agency : IndiaAI, an Independent Business Division under Ministry of Electronics and Information Technology (MeitY), is the implementation agency for the IndiaAI Mission
Objective: To bolster India’s global leadership in AI, foster technological self-reliance, ensure ethical and responsible AI deployment, and democratize the benefits of AI across all strata of society.
Pillars: The Mission has 7 key pillars aimed at building a comprehensive AI ecosystem encompassing,
- The IndiaAI Foundation Model: It aims to develop and deploy indigenous foundational models trained on India-specific data.
  - Sarvam AI: It will build India’s Sovereign LLM Ecosystem developing an open source 120 billion parameter AI model to enhance governance and public service access
  - Three new startups (Soket AI; Gnani AI; Gan AI) have been selected for building India’s own Foundation Model.
- Compute Capacity: It includes establishing a state-of-the-art AI compute infrastructure with thousands of GPUs.
  - Significance: It is crucial to develop indigenous foundational models and AI solutions tailored to the Indian context.
- Datasets: To create a platform for accessible and diverse Indian datasets to train AI models.
  - 367 datasets have been uploaded to AI Kosh.
- IndiaAI Applications Development: It develop, scales, and promotes impactful AI solutions for various sectors, including healthcare, education, and agriculture.
  - Example: IndiaAI I4C CyberGuard AI Hackathon
- Future Skills: It aims to advance AI education at all academic levels by establishing Data and AI Labs in Tier 2 and Tier 3 cities
- Startup Financing: This pillar focuses on providing financial support and resources to AI startups, encouraging innovation and entrepreneurship in the AI space.
- IndiaAI Innovation Centre: It focuses on developing and deploying indigenous Large Multimodal Models and domain-specific foundational model

Terms Explained

Large Language Model (LLM)

It is a type of artificial intelligence (AI) that is trained on vast amounts of text data and is based on the Transformer model to generate natural language processing (NLP) tasks.
- Applications: Natural Language Processing (To understand and generate human language); Translation; Content Generation; building chatbots; Summarization; Code Generation; Sentiment Analysis etc

Graphics Processing Unit (GPU)

It is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics.
- It is being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles
- Application: It is used in graphics and video rendering; gaming; creative production and artificial intelligence (AI).

AI Kosh

AI Kosh is IndiaAI’s flagship platform designed to democratize access to high-quality datasets by providing a repository of datasets, models and use cases to enable AI innovation.
- It is a hub for AI resources (datasets, models, toolkits, use case library and development environment) to explore and share datasets, build applications and leverage the community.

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