India hardest LLM region in the world, but key to developing LLMs globally: NVIDIA CEO Jensen Huang

At the NVIDIA Summit 2024 in Mumbai, CEO Jensen Huang is spotlighting India’s crucial role in the future of artificial intelligence (AI). By forging partnerships with some of the nation’s biggest corporate players — such as Reliance Industries and Infosys — the tech giant is betting big on the world’s most populous country. With a rapidly growing digital economy and burgeoning tech ambitions, India is emerging as a strategic hub for NVIDIA’s global AI goals.

The summit, which highlights how Indian companies are integrating NVIDIA’s AI technology, underscores the country’s importance. Huang discussed India’s AI potential with Mukesh Ambani, the tycoon, and also announced a new partnership to build AI infrastructure in India.

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NVIDIA’s roots in India go back two decades, with its operations beginning in Bangalore. Today, the company employs around 4,000 engineers across four Indian cities, marking its largest workforce outside the United States.

India is quickly becoming a major player in AI, with sectors like agriculture, education, and manufacturing adopting the technology to boost productivity. Though still a modest source of revenue for global tech companies like NVIDIA, Microsoft, and Meta, India’s expanding economy offers significant growth opportunities.

These companies are also using India as a base for operations as geopolitical tensions between the US and China complicate business in the region.

NVIDIA is teaming up with Tech Mahindra to develop a Hindi large language model (LLM), a project that aims to navigate the complexities of Hindi’s numerous dialects. It’s also working with e-commerce platform Flipkart to enhance its conversational customer service and collaborating with healthcare providers to drive efficiency in patient care and research.

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The company has already formed partnerships with Indian giants like Reliance and Tata to build AI data centres, and Reliance is developing a suite of AI tools called JioBrain, reflecting its heavy focus on AI.

Huang emphasised India’s importance during a recent meeting with Prime Minister Narendra Modi, referring to this moment as “India’s time” in the AI landscape. While India’s AI infrastructure is still developing, the government is investing heavily, setting aside $1.2 billion under the IndiaAI Mission to establish data centres and drive the commercialisation of AI technologies.

Navigating India’s linguistic diversity makes it one of the toughest regions for building large language models, with over 25 official languages and numerous Hindi dialects adding to the complexity.

Huang hinted that if India can overcome these challenges, it could unlock the potential to crack LLMs on a global scale, positioning the country as a leader in this new era of AI.