Nvidia Launches Hindi AI Model in India, Boosting Localization Efforts

Nvidia's Hindi AI Model: Localization Efforts in India

Nvidia's new Hindi-focused AI model, Nemotron-4-Mini-Hindi-4B, is here to revolutionize India's AI landscape Nvidia has taken a significant step in strengthening its position in India's artificial intelligence (AI) market. During a recent AI summit in Mumbai, Nvidia's CEO, Jensen Huang, introduced a new Hindi-focused AI model called Nemotron-4-Mini-Hindi-4B. This language-specific model is part of Nvidia's broader strategy to tap into India's rapidly expanding AI ecosystem. By focusing on localization, Nvidia aims to support Indian businesses in developing advanced AI solutions tailored to the local language and market needs.

Nvidia Launches Hindi AI Model in India During CEO Jensen Huang's Visit

Nvidia continues to expand its influence in India's rapidly growing technology landscape. The company introduced a new Hindi-language AI model, Nemotron-4-Mini-Hindi-4B, during CEO Jensen Huang's visit to the country on October 24. This AI model, featuring 4 billion parameters, is designed specifically to cater to the Hindi-speaking population, which makes up a large portion of India's 1.4 billion people. The new model is a lightweight alternative to larger language models, making it an affordable solution for firms looking to create AI systems focused on Hindi and its many dialects. Nvidia's Nemotron-4-Mini-Hindi-4B has been trained on a blend of real-world and synthetic Hindi data, alongside English, offering an adaptable framework for businesses to develop their own AI applications. This opens up new opportunities for AI-powered customer service, content translation, and other consumer-facing functions that require Hindi-language support. Tech Mahindra, one of India's leading IT service providers, has already adopted Nvidia's model to create Indus 2.0, a custom AI tool designed to enhance communication in Hindi and its various dialects. This partnership marks the beginning of what could be a larger trend in the Indian tech ecosystem, as more businesses recognise the value of AI solutions tailored to local languages. Despite India's vast linguistic diversity, only about 10% of the population speaks English, while Hindi remains the most spoken language. decision to focus on Hindi is a strategic move, aligning with the needs of businesses seeking to reach the vast non-English-speaking demographic. The launch of this model comes at a time when global chip companies are intensifying their efforts to establish a strong presence in India. Nvidia has had a footprint in the country for nearly two decades, with design centres and offices in major tech hubs such as Bengaluru and Hyderabad. As the world's attention turns to AI-driven technologies, Nvidia's Hindi-language AI model highlights the importance of localising tech solutions for markets as diverse as India. The model's smaller, more focused data set offers a cost-effective solution for companies with limited resources, making AI innovation accessible to a wider audience.

Nvidia Rolls Out Hindi-Language AI Model in India as CEO Huang Visits

Tech Mahindra is the first to use the Nvidia Small language models are typically cheaper Global chip firms are investing in India Chip behemoth Nvidia launched a lightweight Artificial Intelligence (AI) model on Thursday for India's widely-used Hindi language, as it looks to tap into a growing market for AI technologies. Chief Executive Jensen Huang is set to chat with the chairman of conglomerate Reliance Industries, Mukesh Ambani, who is also Asia's richest man, at a conference in the business capital of Mumbai, the California-based company said. Nvidia is rolling out its new small language model, dubbed Nemotron-4-Mini-Hindi-4B, with 4 billion parameters, for firms to use in developing their own AI models, the company said. "The model was pruned, distilled and trained with a combination of real-world Hindi data, synthetic Hindi data and an equal amount of English data," it said in a statement. Indian IT services and consulting company Tech Mahindra is the first to use the Nvidia offering to develop a custom AI model called Indus 2.0, focused on Hindi and dozens of its dialects, the US company said. Just a tenth of the population of 1.4 billion speaks English in India, where the constituion recognises 22 languages, it added. From large companies to startups, businesses in India have focused on building AI models based on its diverse languages to grow consumer appeal and drive activities such as customer service AI assistants and content translation. Unlike large-language models, such as OpenAI's GPT-4, used to power ChatGPT, small language models are trained on much smaller and more specific datasets. They are typically cheaper, making them more attractive for companies with fewer resources. Global chip firms are investing in India and setting up facilities to expand their presence as the country races to build up its semiconductor industry and compete with major hubs such as Taiwan, though analysts say the effort could take years. Nvidia, which first set up shop in India nearly two decades ago, has engineering and design centers there, as well as offices in major cities such as the southern tech hub of Bengaluru and neighbouring Hyderabad. © Thomson Reuters 2024

Nvidia Launches Hindi-Language AI Model: Details

Nvidia is calling this new language model Nemotron-4-Mini-Hindi-4B. Nvidia, the largest AI company in the world, has launched a Hindi language AI model. This is a lightweight AI model with 4 billion parameters aimed at helping businesses develop their own AI models. Nvidia is calling this new language model Nemotron-4-Mini-Hindi-4B. The announcement comes as the Nvidia CEO, Jensen Huang also chatted with Reliance Industries Chairman and Managing Director, Mukesh Ambani. For the unaware, Reliance and Nvidia are joining hands to build the AI infrastructure in India. This move from Nvidia comes as the company wants to tap into growing markets for AI tech. Read More - Reliance and Nvidia Join Hands to Build AI Infra in India "The model was pruned, distilled and trained with a combination of real-world Hindi data, synthetic Hindi data and an equal amount of English data," Nvidia said in a statement. Nvidia confirmed that Tech Mahindra is the first company to use this AI model to develop a custom AI model called Indus 2.0 which is focused on Hindi and dozen of different dialects. India is a diverse nation with a smaller percetange of people that are fluent in speaking and understanding English. Regional languages content and chatbots have been in demand in the market and this new AI model from Nvidia will help businesses in understanding and serving their customers better. Read More - Everyone in India Can Ask AI Assistants Questions About Health Issues, Says Meta Official: Report The new model from Nvidia is different from OpenAI's ChatGPT, which is a large-language model (LLM). This AI model from Nvidia is a small-language model (SLM). It is called small language model because it is trained at on much smaller and specific datasets. These SLMs are much cheaper to train and build compared to an LLM. Nvidia has also partnered with other Indian companies such as Tata Communications, Flipkart, and more to help them scale business in the country leveraging AI.

Nvidia rolls out Hindi-language AI model in India as CEO Huang visits

MUMBAI (Reuters) - Chip behemoth Nvidia launched a lightweight artificial intelligence model on Thursday for India's widely-used Hindi language, as it looks to tap into a growing market for AI technologies. Chief Executive Jensen Huang is set to chat with the chairman of conglomerate Reliance Industries, Mukesh Ambani, who is also Asia's richest man, at a conference in the business capital of Mumbai, the California-based company said. Nvidia is rolling out its new small language model, dubbed Nemotron-4-Mini-Hindi-4B, with 4 billion parameters, for firms to use in developing their own AI models, the company said. "The model was pruned, distilled and trained with a combination of real-world Hindi data, synthetic Hindi data and an equal amount of English data," it said in a statement. Indian IT services and consulting company Tech Mahindra is the first to use the Nvidia offering to develop a custom AI model called Indus 2.0, focused on Hindi and dozens of its dialects, the U.S. company said. Just a tenth of the population of 1.4 billion speaks English in India, where the constituion recognises 22 languages, it added. From large companies to startups, businesses in India have focused on building AI models based on its diverse languages to grow consumer appeal and drive activities such as customer service AI assistants and content translation. Unlike large-language models, such as OpenAI's GPT-4, used to power ChatGPT, small language models are trained on much smaller and more specific datasets. They are typically cheaper, making them more attractive for companies with fewer resources. Global chip firms are investing in India and setting up facilities to expand their presence as the country races to build up its semiconductor industry and compete with major hubs such as Taiwan, though analysts say the effort could take years. Nvidia, which first set up shop in India nearly two decades ago, has engineering and design centers there, as well as offices in major cities such as the southern tech hub of Bengaluru and neighbouring Hyderabad. (Reporting by Arsheeya Bajwa in Mumbai and Deborah Sophia in Bengaluru; Editing by Clarence Fernandez)

NVIDIA Launches Nemotron-4-Mini-Hindi-4B Model for AI in India

Tech Mahindra is the first to implement this model, creating Indus 2.0, which focuses on Hindi and its dialects. NVIDIA has launched the Nemotron-4-Mini-Hindi-4B model, a small language model for Hindi, enabling businesses to deploy AI solutions specific to local needs. This model, part of NVIDIA's NIM microservice, can be deployed on NVIDIA GPU-accelerated systems, optimising performance for various applications. Tech Mahindra is the first to implement this model, creating Indus 2.0, which focuses on Hindi and its dialects. The Nemotron Hindi model has 4 billion parameters and was derived from a 15-billion parameter multilingual model, Nemotron-4. It was trained with real-world Hindi data and synthetic data, including English. After fine-tuning with NVIDIA NeMo, it leads on multiple accuracy benchmarks for AI models with up to 8 billion parameters. Packaged as a microservice, it supports various industry applications, including education and healthcare. Innovators and enterprises in India are utilising NVIDIA NeMo to create customised language models. Sarvam AI has developed Sarvam 1, India's first multilingual language model, trained on NVIDIA H100 GPUs. This model supports English and ten major Indian languages. Gnani.ai has built a multilingual speech-to-speech model that serves as an AI customer service assistant, handling approximately 10 million real-time interactions daily. Large enterprises are also using NeMo. Flipkart integrates NeMo Guardrails into its conversational AI systems for enhanced safety. Krutrim is developing a multilingual foundation model using Mistral NeMo 12B. Zoho Corporation plans to use NVIDIA TensorRT-LLM and Triton Inference Server for its language models. Meanwhile, Tata Consultancy Services and Wipro are offering NVIDIA NeMo-accelerated solutions across various industries. TCS is creating domain-specific language models for telecommunications, retail, and financial services. Wipro is developing custom conversational AI solutions for customer service interactions.

Nvidia rolls out Hindi-language AI model in India as CEO Huang visits

MUMBAI, Oct 24 (Reuters) - Chip behemoth Nvidia (NVDA.O), opens new tab launched a lightweight artificial intelligence model on Thursday for India's widely-used Hindi language, as it looks to tap into a growing market for AI technologies. Chief Executive Jensen Huang is set to chat with the chairman of conglomerate Reliance Industries, Mukesh Ambani, who is also Asia's richest man, at a conference in the business capital of Mumbai, the California-based company said. Advertisement · Scroll to continue Nvidia is rolling out its new small language model, dubbed Nemotron-4-Mini-Hindi-4B, with 4 billion parameters, for firms to use in developing their own AI models, the company said. "The model was pruned, distilled and trained with a combination of real-world Hindi data, synthetic Hindi data and an equal amount of English data," it said in a statement. Indian IT services and consulting company Tech Mahindra is the first to use the Nvidia offering to develop a custom AI model called Indus 2.0, focused on Hindi and dozens of its dialects, the U.S. company said. Advertisement · Scroll to continue Just a tenth of the population of 1.4 billion speaks English in India, where the constituion recognises 22 languages, it added. From large companies to startups, businesses in India have focused on building AI models based on its diverse languages to grow consumer appeal and drive activities such as customer service AI assistants and content translation. Unlike large-language models, such as OpenAI's GPT-4, used to power ChatGPT, small language models are trained on much smaller and more specific datasets. They are typically cheaper, making them more attractive for companies with fewer resources. Global chip firms are investing in India and setting up facilities to expand their presence as the country races to build up its semiconductor industry and compete with major hubs such as Taiwan, though analysts say the effort could take years. Nvidia, which first set up shop in India nearly two decades ago, has engineering and design centers there, as well as offices in major cities such as the southern tech hub of Bengaluru and neighbouring Hyderabad. Reporting by Arsheeya Bajwa in Mumbai and Deborah Sophia in Bengaluru; Editing by Clarence Fernandez Our Standards: The Thomson Reuters Trust Principles., opens new tab

Nvidia boosts India push with Hindi language model and deals with country's top firms

Amid the flurry of partnerships announced on the occasion was a deal between Reliance and Nvidia to build AI infrastructure in India. Huang said that Nvidia is working with companies including Yotta and Tata Communications to also build computing infrastructure. Huang said that by the end of the year, India will have "20 times more compute" than just over a year ago, referring to the country's computing power. "India used to be a country that produced software. [India] exported software. In the future, India is going to export AI," Huang said. Nvidia also announced Nemotron-4-Mini-Hindi 4B -- a small language model in Hindi, the widest-spoken of India's multitude of languages. Companies running Nvidia hardware can deploy this language model, while Indian IT consultancy Tech Mahindra is using Nvidia's model to launch its own Hindi AI model, Project Indus 2.0. Small language models are trained on much more compact and specific datasets compared to large language models, such as OpenAI's GPT-4. Nvidia is also collaborating with other major Indian IT companies like Infosys, Wipro and TCS to train around 500,000 developers in creating and implementing AI agents with its software. Nvidia's ramp-up in India takes place as the company looks to find new regions to boost business, while the breakneck speed growth it has experienced over the last year and a half begins to slow down. In India, Prime Minister Narendra Modi has been looking to lure in major foreign technology companies, particularly in the semiconductor industry, to increase investment in the country. India aims to establish itself as a major player in the semiconductor industry, as it strives for self-sufficiency in manufacturing. Modi has outlined various objectives to advance the semiconductor sector, setting a significant target to grow the country's electronics industry from its current value of around $155 billion to $500 billion by 2030. "India is very, very dear to the world's computer industry, central to the IT industry," Huang said. Ambani's presence at the Nvidia event also highlighted his conglomerate's ambition to become a leading AI player in India. Reliance Jio, the telecommunications firm under Ambani's Reliance Industries and an upstart less than a decade ago, is now India's biggest mobile provider. "Jio aims to build large scale AI infrastructure to democratize AI leveraging data emanating from almost a billion Internet users in next few years. With this planned investments and scale, Jio aims to be the flag bearer of proliferating AI adoption from consumers to enterprises to government," Neil Shah, partner at Counterpoint Research, told CNBC. This "unlocks significant opportunity" for Nvidia and other companies, Shah added.

India Enterprises Serve Over a Billion Local Language Speakers Using LLMs Built With NVIDIA AI

Namaste, vanakkam, sat sri akaal -- these are just three forms of greeting in India, a country with 22 constitutionally recognized languages and over 1,500 more recorded by the country's census. Around 10% of its residents speak English, the internet's most common language. As India, the world's most populous country, forges ahead with rapid digitalization efforts, its enterprises and local startups are developing multilingual AI models that enable more Indians to interact with technology in their primary language. It's a case study in sovereign AI -- the development of domestic AI infrastructure that is built on local datasets and reflects a region's specific dialects, cultures and practices. These projects are building language models for Indic languages and English that can power customer service AI agents for businesses, rapidly translate content to broaden access to information, and enable services to more easily reach a diverse population of over 1.4 billion individuals. To support initiatives like these, NVIDIA has released a small language model for Hindi, India's most prevalent language with over half a billion speakers. Now available as an NVIDIA NIM microservice, the model, dubbed Nemotron-4-Mini-Hindi-4B, can be easily deployed on any NVIDIA GPU-accelerated system for optimized performance. Tech Mahindra, an Indian IT services and consulting company, is the first to use the Nemotron Hindi NIM microservice to develop an AI model called Indus 2.0, which is focused on Hindi and dozens of its dialects. Indus 2.0 harnesses Tech Mahindra's high-quality fine-tuning data to further boost model accuracy, unlocking opportunities for clients in banking, education, healthcare and other industries to deliver localized services. Tech Mahindra will showcase Indus 2.0 at the NVIDIA AI Summit, taking place Oct. 23-25 in Mumbai. The company also uses NVIDIA NeMo to develop its sovereign large language model (LLM) platform, TeNo. NVIDIA NIM Makes AI Adoption for Hindi as Easy as Ek, Do, Teen The Nemotron Hindi model has 4 billion parameters and is derived from Nemotron-4 15B, a 15-billion parameter multilingual language model developed by NVIDIA. The model was pruned, distilled and trained with a combination of real-world Hindi data, synthetic Hindi data and an equal amount of English data using NVIDIA NeMo, an end-to-end, cloud-native framework and suite of microservices for developing generative AI. The dataset was created with NVIDIA NeMo Curator, which improves generative AI model accuracy by processing high-quality multimodal data at scale for training and customization. NeMo Curator uses NVIDIA RAPIDS libraries to accelerate data processing pipelines on multi-node GPU systems, lowering processing time and total cost of ownership. It also provides pre-built pipelines and building blocks for synthetic data generation, data filtering, classification and deduplication to process high-quality data. After fine-tuning with NeMo, the final model leads on multiple accuracy benchmarks for AI models with up to 8 billion parameters. Packaged as a NIM microservice, it can be easily harnessed to support use cases across industries such as education, retail and healthcare. It's available as part of the NVIDIA AI Enterprise software platform, which gives businesses access to additional resources, including technical support and enterprise-grade security, to streamline AI development for production environments. Bevy of Businesses Serves Multilingual Population Innovators, major enterprises and global systems integrators across India are building customized language models using NVIDIA NeMo. Companies in the NVIDIA Inception program for cutting-edge startups are using NeMo to develop AI models for several Indic languages. Sarvam AI offers enterprise customers speech-to-text, text-to-speech, translation and data parsing models. The company developed Sarvam 1, India's first homegrown, multilingual LLM, which was trained from scratch on domestic AI infrastructure powered by NVIDIA H100 Tensor Core GPUs. Sarvam 1 -- developed using NVIDIA AI Enterprise software including NeMo Curator and NeMo Framework -- supports English and 10 major Indian languages, including Bengali, Marathi, Tamil and Telugu. Sarvam AI also uses NVIDIA NIM microservices, NVIDIA Riva for conversational AI, NVIDIA TensorRT-LLM software and NVIDIA Triton Inference Server to optimize and deploy conversational AI agents with sub-second latency. Another Inception startup, Gnani.ai, built a multilingual speech-to-speech LLM that powers AI customer service assistants that handle around 10 million real-time voice interactions daily for over 150 banking, insurance and financial services companies across India and the U.S. The model supports 14 languages and was trained on over 14 million hours of conversational speech data using NVIDIA Hopper GPUs and NeMo Framework. Gnani.ai uses TensorRT-LLM, Triton Inference Server and Riva NIM microservices to optimize its AI for virtual customer service assistants and speech analytics. Large enterprises building LLMs with NeMo include: India's top global systems integrators are also offering NVIDIA NeMo-accelerated solutions to their customers. Wipro and TCS also use NeMo Curator's synthetic data generation pipelines to generate data in languages other than English to customize LLMs for their clients. To learn more about NVIDIA's collaboration with businesses and developers in India, watch the replay of company founder and CEO Jensen Huang's fireside chat at the NVIDIA AI Summit.