Nvidia, OpenAI announce partnerships with Indian firms, educational institutes, Pg1

Key Highlights:

• Nvidia announced partnerships with Yotta, L&T, and E2E Networks to bolster India's AI cloud infrastructure.
• OpenAI is collaborating with educational institutions like IIT-Delhi, IIM-Ahmedabad, and AIIMS to enhance AI skills among students.
• Sarvam AI, based in Bengaluru, launched two open-source language models named Vikram at the AI Impact Summit.
• The Vikram models, with 35 billion and 105 billion parameters, aim to improve Indian language processing in AI.

Detailed Insights:

• Nvidia's partnership will provide Indian entities access to Nemotron (open-source LLMs) and NeMo (AI agent management software).
• OpenAI's collaboration extends to ed-tech platforms like PhysicsWallah, upGrad, and HCL GUVI, benefiting one lakh students and staff.
• The launch of Sarvam AI's Vikram models is considered a milestone for AI development in India, focusing on better Indian language support.
• The Ministry of Electronics and Information Technology is emphasizing inference while also supporting the training of LLMs by Indian firms.
• Sarvam AI received over $50 million in funding from investors like Peak XV and Khosla Ventures, with subsidized access to GPUs under the IndiaAI Mission.
• Training LLMs requires significant computational resources, involving GPUs working in data centers, making it a costly and skill-intensive process.

Key Concepts Involved:

• Large Language Model (LLM): An AI model trained on vast amounts of text data to understand and generate human-like language.
• Inference: The process of using a trained AI model to make predictions or generate outputs based on new input data.
• GPU (Graphics Processing Unit): A specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device.