Democratization of AI refers to making artificial intelligence accessible, affordable and usable for a wide and diverse set of users.
- It goes beyond access to finished applications. It includes access to the core building blocks of AI such as computing power, datasets and model ecosystems.
Key Pillars of AI Democratization
- Democratizing AI Applications for Public Impact: Such as Bhashini (Enabling Language Access through Al), Kisan e Mitra for aiding farmers, MausamGPT for disaster management etc.
- Accessible Data and Models: The national platform AIKosh serves as a shared resource, offering over 7,500 datasets and 273 reusable models to developers.
- Affordable Computing Power: IndiaAI Mission has onboarded over 38,000 high-end GPUs available at a subsidized rate of ₹65 per hour, significantly lower than the global average.
- Robust Infrastructure & Connectivity: Widespread AI deployment is supported by 5G services, which now cover 99.9% of districts in India
- Sustainable Energy: Recognizing the high energy demands of AI, India has aligned its infrastructure with green energy goals, achieving 50% of installed electricity capacity from non-fossil fuel sources by June 2025.
Steps taken for AI Democratization
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