To support Indian Artificial Intelligence (AI) Startups, which technological infrastructure is expected to be developed by the Government of India?

Correct option is B

To foster AI startups in India, the Government of India has been working on developing GPU (Graphics Processing Unit) clusters, which are essential for AI and machine learning workloads. GPUs provide high computational power, which is crucial for deep learning, neural networks, and large-scale AI models.

• AI startups require massive computing resources to train AI models, which can be expensive for individual companies. GPU clusters help reduce costs and increase accessibility.

• Government initiatives like the National AI Mission and projects under MeitY (Ministry of Electronics and Information Technology) focus on building AI computing infrastructure.

• Supercomputing facilities with GPU clusters are being developed under programs like PARAM Siddhi-AI, which is India's high-performance computing (HPC) initiative for AI research.

• Cloud-based GPU clusters allow AI startups and researchers to access scalable and shared computational power without heavy upfront investments.

• Many AI applications, including natural language processing (NLP), computer vision, and robotics, require the parallel processing capabilities of GPUs to function effectively.

Thus, GPU clusters are a critical part of India's AI ecosystem, facilitating research, development, and deployment of advanced AI technologies.

Information Booster:

• High Performance Computing (HPC) – GPUs are optimized for parallel processing, allowing faster AI computations.

• Deep Learning & Neural Networks – GPUs significantly speed up the training of deep learning models.

• Cost Efficiency for Startups – Shared GPU clusters reduce the need for expensive dedicated hardware.

• Cloud-Based AI Infrastructure – Enables AI startups to access computing resources remotely.

• Government Initiatives – The Indian government is investing in AI infrastructure through MeitY and DST (Department of Science & Technology).

• Support for Research and Innovation – Academic institutions and AI startups can use GPU clusters for AI model training and development.

Additional Knowledge:

(1) Creation of EPZ (Export Processing Zone)

• EPZs are industrial areas focused on export-oriented production and trade facilitation.

• While they help in economic growth, they do not directly contribute to AI research or provide AI-specific computing resources.

(3) Creation of SPZ (Specialized Processing Zone) Clusters

• The term SPZ (Specialized Processing Zone) is not a commonly recognized category in AI infrastructure.

• While there are Special Economic Zones (SEZs) for IT and electronics, they do not specifically focus on AI computing infrastructure like GPU clusters do.

(4) Creation of IT Parks

• IT Parks provide office spaces and basic IT infrastructure, but they do not offer AI-specific computational power.

• Unlike GPU clusters, IT parks do not enhance AI research capabilities directly.