Nvidia Accelerates AI Push in India with Strategic Partnerships and Infrastructure Expansion

Nvidia makes a strong AI push in India | Digital | Campaign India

At the Nvidia AI Summit in Mumbai, the company's founder and CEO, Jensen Huang revealed that it is partnering with Reliance Industries to build artificial intelligence infrastructure in the country. At the Nvidia AI Summit in Mumbai on October 24, the chipmaker's CEO and founder, Jensen Huang, underscored a shift in the way software is developed, crediting machine learning as the game-changer. "The old approach of developing software has now been disrupted. It's not coding anymore, it's machine learning," he explained. He described this transition from 'Software 1.0', where human coding was key, to 'Software 2.0', which relies on the power of machine learning. During the summit, Huang revealed that Nvidia and Reliance Industries are partnering to build artificial intelligence (AI) infrastructure in India. During the conversation Reliance Industries' chairman, Mukesh Ambani, highlighted India's potential to become a global hub for AI and one of the biggest AI markets. Ambani stated, "We can use intelligence to actually bring prosperity to all the people and bring equality to the world." Huang echoed this sentiment, adding, "Let's make it a promise today that we will work together so that India could take advantage of the intelligence revolution that's ahead of us." Huang, clearly bullish on India's prospects, also praised the country's position as a major hub for innovation. Ambani emphasised India's rapidly developing digital infrastructure, stating, "India is fast becoming an innovation hub for the world. Apart from the US and China, India has the best digital connectivity infrastructure." This sentiment was reinforced by Huang, who noted, "This is an excellent opportunity for India. The country's large population of computer engineers, paired with a growing digital landscape, makes this such an extraordinary time." He expressed his excitement at collaborating with Ambani and Reliance, describing their partnership as both an honour and a privilege. Nvidia's expanding AI collaboration with local partners As part of its commitment to India, it launched a lightweight AI model specifically for the Hindi language. This new model is part of a broader effort to tap into the country's growing demand for AI solutions tailored to regional needs. "Hindi dialect changes every 50 kilometres," Huang noted. He also pointed out that India is one of the most linguistically complex markets in the world. "Once you have cracked LLMs in India, you can build in any part of the world," he added. Tech Mahindra is one of the first companies to utilise Nvidia's Hindi AI model, with its custom-built AI, Indus 2.0, focusing on Hindi and its many dialects. Nvidia's latest AI model, Nemotron-4-Mini-Hindi-4B, features 4 billion parameters and has been developed using a combination of real-world and synthetic Hindi data, alongside English data. The model, according to the company, is designed to be lightweight yet powerful, allowing companies to build their own AI tools in Hindi with greater efficiency. AI partnerships and India's growing role In addition to its work with Reliance, Nvidia is also collaborating with other Indian companies. Cloud infrastructure providers and server manufacturers are rapidly increasing data center capacity with Nvidia GPUs, aiming for nearly a 10x boost in deployment by year-end. At the Nvidia AI Summit in Mumbai, players like Yotta Data Services, Tata Communications, E2E Networks, and Netweb said they would be part of this expansion journey. Sunil Gupta, CEO of Yotta, highlighted that their Shakti Cloud platform simplifies AI adoption, allowing organisations to scale and innovate faster. Tata Communications is deploying Nvidia Hopper GPUs for its public cloud, with plans to integrate Blackwell GPUs next year. CEO A S Lakshminarayanan noted that their partnership with the chipmaker will make AI resources more accessible across industries like healthcare, retail, and finance. E2E Networks provides GPU-powered cloud servers, supporting high-compute tasks such as real-time AI inference, while Netweb is expanding its Tyrone AI systems using Nvidia MGX architecture. Netweb's chairman, Sanjay Lodha, emphasised that their new systems will enable businesses and researchers to build advanced AI applications. Chennai-based Zoho Corporation will be leveraging Nvidia's AI computing platform, including Nvidia NeMo, a key part of Nvidia's AI Enterprise software, to develop large language models (LLMs) tailored for business use. Its director of AI, Ramprakash Ramamoorthy, remarked, "Many LLMs on the market today are designed for consumer use, offering limited value for businesses. Zoho's mission is to develop LLMs tailored specifically for a wide range of business use cases." Zoho, which has already invested over $10 million in Nvidia's AI technology and GPUs, plans to invest an additional $10 million in the coming year. Once the LLMs are developed, they will be available to Zoho's 700,000-plus global customers across its business suite, including ManageEngine and Zoho.com. Nvidia is also partnering with Flipkart, one of India's largest e-commerce platforms, to improve customer service using conversational AI. Additionally, the company is working with India's healthcare firms to enhance productivity in both patient care and research through AI-driven solutions. Global impact: Nvidia's AI in marketing and creativity Nvidia's global influence is also extending into advertising and creative services, where the company is collaborating with leading advertising firms to integrate AI into content creation. A key example is Nvidia's partnership with WPP, a global advertising agency. This partnership aims to revolutionise advertising production through the use of Nvidia's Omniverse platform and Universal Scene Description (OpenUSD) technology. At the Cannes Lions International Festival of Creativity in June 2024, WPP launched Production Studio, powered by Nvidia Omniverse. This AI-driven tool simplifies and accelerates the creation of text, images, and video, transforming content creation for advertisers and marketers. Nvidia's AI technologies are already shaping the way agencies and brands engage with consumers, creating more efficient, personalised, and innovative campaigns. Nvidia's Blackwell chip's role in AI performance Nvidia's AI expansion is supported by its hardware, including the highly anticipated Blackwell chips. CEO Huang confirmed that these chips, a key part of its next-generation GPU architecture, will begin shipping to customers in the fourth quarter of 2024. The production of these chips, which is being handled by TSMC, had been delayed due to a design flaw. However, Huang confirmed that the issue has now been resolved. Morgan Stanley estimates that Nvidia will ship approximately 450,000 Blackwell chips in the December quarter, generating around $10 billion in revenue. Unveiled in March, Nvidia's Blackwell chips are expected to deliver unprecedented advancements in AI performance and data processing. The chips are designed to address the rapidly growing demand for high-performance computing, particularly in AI, data centres, and gaming. These chips are 30 times faster than previous models, significantly boosting their efficiency in handling complex tasks like AI-driven chatbots. According to Statista, the global GPU market is currently valued at $65.3 billion and is forecasted to reach $274.2 billion by 2029, growing at a compound annual growth rate (CAGR) of 33.2%. Nvidia's Blackwell architecture is expected to play a pivotal role in this market growth, securing the company's leadership in the GPU space for the foreseeable future. The future of AI and human jobs As Nvidia continues to push the boundaries of AI, the company's leadership remains optimistic about the future of human-AI collaboration. Addressing concerns about job displacement due to AI, Huang stated, "I know absolutely not, but the person who uses AI to automate 20%-50% is going to take your job." He added that, in the long term, he hopes AI will act as personal assistants, enhancing human productivity by remembering and managing tasks. In June 2024, Nvidia became the world's most valuable company, dethroning tech heavyweight Microsoft, as its high-end processors play a central role in a scramble to dominate AI technology. Standing at the helm of AI innovation, the company's influence in India and across the globe is set to deepen. Its growing investment across sectors has the potential to reshape industries from marketing and advertising to healthcare and customer service. Its strategic partnerships and technologies could help it hold steadfast to staying at the forefront of the AI revolution.

Nvidia CEO touts India's progress with sovereign AI and over 100K AI developers trained

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia CEO Jensen Huang noted India's progress in its AI journey in a conversation at the Nvidia AI Summit in India. India now has more than 2,000 Nvidia Inception AI companies and more than 100,000 developers trained in AI. That compares to a global developer count of 650,000 people trained in Nvidia AI technologies, and India's strategic move into AI is a good example of what Huang calls "sovereign AI," where countries choose to create their own AI infrastructure to maintain control of their own data. Nvidia said that India is becoming a key producer of AI for virtually every industry -- powered by thousands of startups that are serving the country's multilingual, multicultural population and scaling out to global users. The country is one of the top six global economies leading generative AI adoption and has seen rapid growth in its startup and investor ecosystem, rocketing to more than 100,000 startups this year from under 500 in 2016. More than 2,000 of India's AI startups are part of Nvidia Inception, a free program for startups designed to accelerate innovation and growth through technical training and tools, go-to-market support and opportunities to connect with venture capitalists through the Inception VC Alliance. At the NVIDIA AI Summit, taking place in Mumbai through Oct. 25, around 50 India-based startups are sharing AI innovations delivering impact in fields such as customer service, sports media, healthcare and robotics. Conversational AI for Indian Railway customers Bengaluru-based startup CoRover.ai already has over a billion users of its LLM-based conversational AI platform, which includes text, audio and video-based agents. "The support of NVIDIA Inception is helping us advance our work to automate conversational AI use cases with domain-specific large language models," said Ankush Sabharwal, CEO of CoRover, in a statement. "NVIDIA AI technology enables us to deliver enterprise-grade virtual assistants that support 1.3 billion users in over 100 languages." CoRover's AI platform powers chatbots and customer service applications for major private and public sector customers, such as the Indian Railway Catering and Tourism Corporation, the official provider of online tickets, drinking water and food for India's railways stations and trains. Dubbed AskDISHA, after the Sanskrit word for direction, the IRCTC's multimodal chatbot handles more than 150,000 user queries daily, and has facilitated over 10 billion interactions for more than 175 million passengers to date. It assists customers with tasks such as booking or canceling train tickets, changing boarding stations, requesting refunds, and checking the status of their booking in languages including English, Hindi, Gujarati and Hinglish -- a mix of Hindi and English. The deployment of AskDISHA has resulted in a 70% improvement in IRCTC's customer satisfaction rate and a 70% reduction in queries through other channels like social media, phone calls and emails. CoRover's modular AI tools were developed using Nvidia NeMo, an end-to-end, cloud-native framework and suite of microservices for developing generative AI. They run on Nvidia GPUs in the cloud, enabling CoRover to automatically scale up compute resources during peak usage -- such as the moment train tickets are released. Nvidia also noted that VideoVerse, founded in Mumbai, has built a family of AI models using Nvidia technology to support AI-assisted content creation in the sports media industry -- enabling global customers including the Indian Premier League for cricket, the Vietnam Basketball Association and the Mountain West Conference for American college football to generate game highlights up to 15 times faster and boost viewership. It uses Magnifi, with tech like vision analysis to detect players and key moments for short form video. Nvidia also highlighted Mumbai-based startup Fluid AI, which offers generative AI chatbots, voice calling bots and a range of application programming interfaces to boost enterprise efficiency. Its AI tools let workers perform tasks like creating slide decks in under 15 seconds. Karya, based in Bengaluru, is a smartphone-based digital work platform that enables members of low-income and marginalized communities across India to earn supplemental income by completing language-based tasks that support the development of multilingual AI models. Nearly 100,000 Karya workers are recording voice samples, transcribing audio or checking the accuracy of AI-generated sentences in their native languages, earning nearly 20 times India's minimum wage for their work. Karya also provides royalties to all contributors each time its datasets are sold to AI developers. Karya is employing over 30,000 low-income women participants across six language groups in India to help create the dataset, which will support the creation of diverse AI applications across agriculture, healthcare and banking. Serving over a billion local language speakers with LLMs 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 government 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 public and private sector 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 government 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. 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. A number of Indian companies are using the services. India's AI factories can transform economy India's leading cloud infrastructure providers and server manufacturers are ramping up accelerated data center capacity in what Nvidia calls AI factories. By year's end, they'll have boosted Nvidia GPU deployment in the country by nearly 10 times compared to 18 months ago. Tens of thousands of Nvidia Hopper GPUs will be added to build AI factories -- large-scale data centers for producing AI -- that support India's large businesses, startups and research centers running AI workloads in the cloud and on premises. This will cumulatively provide nearly 180 exaflops of compute to power innovation in healthcare, financial services and digital content creation. Announced today at the Nvidia AI Summit, this buildout of accelerated computing technology is led by data center provider Yotta Data Services, global digital ecosystem enabler Tata Communications, cloud service provider E2E Networks and original equipment manufacturer Netweb. Their systems will enable developers to harness domestic data center resources powerful enough to fuel a new wave of large language models, complex scientific visualizations and industrial digital twins that could propel India to the forefront of AI-accelerated innovation. Yotta Data Services is providing Indian businesses, government departments and researchers access to managed cloud services through its Shakti Cloud platform to boost generative AI adoption and AI education. Powered by thousands of Nvidia Hopper GPUs, these computing resources are complemented by Nvidia AI Enterprise, an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade copilots and other generative AI applications. With Nvidia AI Enterprise, Yotta customers can access Nvidia NIM, a collection of microservices for optimized AI inference, and Nvidia NIM Agent Blueprints, a set of customizable reference architectures for generative AI applications. This will allow them to rapidly adopt optimized, state-of-the-art AI for applications including biomolecular generation, virtual avatar creation and language generation. "The future of AI is about speed, flexibility and scalability, which is why Yotta's Shakti Cloud platform is designed to eliminate the common barriers that organizations across industries face in AI adoption," said Sunil Gupta, CEO of Yotta, in a statement. "Shakti Cloud brings together high-performance GPUs, optimized storage and a services layer that simplifies AI development from model training to deployment, so organizations can quickly scale their AI efforts, streamline operations and push the boundaries of what AI can accomplish."

NVIDIA : CEO Jensen Huang to Spotlight Innovation at India's AI Summit

The NVIDIA AI Summit India, taking place October 23-25 at the Jio World Convention Centre in Mumbai, will bring together the brightest minds to explore how India is tackling the world's grand challenges. A major highlight: a fireside chat with NVIDIA founder and CEO Jensen Huang on October 24. He'll share his insights on AI's pivotal role in reshaping industries and how India is emerging as a global AI leader, and be joined by the chairman and managing director of Reliance Industries, Mukesh Ambani. Passes for the event are sold out. But don't worry - audiences can tune in via livestream or watch on-demand sessions at NVIDIA AI Summit. With over 50 sessions, live demos and hands-on workshops, the event will showcase AI's transformative impact across industries like robotics, supercomputing and industrial digitalization. It will explore opportunities both globally and locally in India. Over 70% of the use cases discussed will focus on how AI can address India's most pressing challenges. India's rise to become a global AI leader is powered by its focus on building AI infrastructure and foundational models. NVIDIA's accelerated computing platform, now 100,000x more energy-efficient for processing large language models than a decade ago, is driving this progress. If car efficiency had improved at the same rate, vehicles today would get 280,000 miles per gallon - enough to drive to the moon with a single gallon of gas. As India solidifies its place in AI leadership, the summit will tackle key topics. These include building AI infrastructure with NVIDIA's advanced GPUs, harnessing foundational models for Indian languages, fueling innovation in India's startup ecosystem and upskilling developers to take the country's workforce to the AI front office. The momentum is undeniable. NVIDIA is at the heart of India's rise as an AI powerhouse. With six locations across the country hosting over 4,000 employees, NVIDIA plays a central role in the country's rapid progress in AI. The company works with enterprises, cloud providers and startups to build AI infrastructure powered by NVIDIA's accelerated computing stack comprising tens of thousands of its most advanced GPUs, high-performance networking, and AI software platforms and tools. The summit will feature sessions on how this infrastructure empowers sectors like healthcare, agriculture, education and manufacturing. The fireside chat with Huang on October 24 is a must-watch. He'll discuss how AI is revolutionizing industries worldwide and India's increasingly important role as a global AI leader. To hear his thoughts firsthand, tune in to the livestream or catch the session on demand for insights from one of the most influential figures in AI. Top industry experts like Niki Parmar (Essential AI), Deepu Talla (NVIDIA) and Abhinav Aggarwal (Fluid AI) will dive into a range of game-changing topics, including: These sessions will also introduce cutting-edge NVIDIA AI networking technologies, essential for building next-gen AI data centers. India's vibrant startup ecosystem will be in the spotlight at the summit. Nearly 2,000 companies in India are part of NVIDIA Inception, a program that supports startups driving innovation in AI and other fields. Onsite workshops at the AI Summit will offer hands-on experiences with NVIDIA's advanced AI tools, giving developers and startups practical skills to push the boundaries of innovation. Meanwhile, Reverse VC Pitches will provide startups with unique insights as venture capital firms pitch their visions for the future, sparking fresh ideas and collaborations. NVIDIA is also backing India's industrial expansion by deploying AI technologies like Omniverse and Isaac. These tools are enhancing everything from factory planning to manufacturing and construction, helping build greenfield factories that are more efficient and sustainable. These technologies integrate advanced AI capabilities into factory operations, cutting costs while boosting sustainability. Through hands-on workshops and deep industry insights, participants will see how India is positioning itself to lead the world in AI innovation.

'NVIDIA is AI in India'

'NVIDIA is AI in India,' said Jensen Huang at NVIDIA AI Summit 2024 in Mumbai when announcing that Indian AI factories would see 20x NVIDIA GPU growth by year-end. Citing Yotta, Tata Communciations, and others, Jensen said that NVIDIA in India have a really rich ecosystem in just a span of one year. "By the end of this year, we will have nearly 20 times more compute here in India than just a little over a year ago," he added. India's cloud infrastructure providers and server manufacturers are significantly expanding their data center capacity, with NVIDIA GPU deployment expected to grow nearly tenfold by the end of the year compared to 18 months ago. The announcement was made during the NVIDIA AI Summit in Mumbai. Tens of thousands of NVIDIA Hopper GPUs will be added to support AI factories -- large-scale data centers focused on AI production. These GPUs will provide 180 exaflops of computing power for sectors such as healthcare, financial services, and digital content creation. Leading companies spearheading this initiative include Yotta Data Services, Tata Communications, E2E Networks, and Netweb. Yotta Data Services will integrate NVIDIA Hopper GPUs into its Shakti Cloud platform, allowing Indian businesses and researchers to adopt generative AI and other AI tools more efficiently. "The future of AI is about speed, flexibility and scalability, which is why Yotta's Shakti Cloud platform is designed to eliminate the common barriers that organisations across industries face in AI adoption," said Sunil Gupta, cofounder, CEO and managing director of Yotta. Yotta's customers include Sarvam AI, working on AI models that support major Indian languages; Innoplexus, developing an AI-powered life sciences platform for drug discovery; and Zoho Corporation, creating language models for enterprise use. Yotta customers using NVIDIA AI Enterprise can tap into NVIDIA NIM, a suite of microservices that enhance AI inference, along with NVIDIA NIM Agent Blueprints, which provide adaptable reference architectures for generative AI projects. This enables quick adoption of advanced AI technologies for tasks such as biomolecular generation, virtual avatar development, and language generation. Tata Communications will deploy NVIDIA Hopper GPUs across its public cloud infrastructure, expanding its offerings next year to include NVIDIA Blackwell GPUs. Tata Communications will provide customers with access to NVIDIA AI Enterprise, which includes NVIDIA NIM, NIM Agent Blueprints, and NVIDIA Omniverse -- a platform and operating system used by developers to create physical AI and simulate robotic systems. "By combining NVIDIA's accelerated computing infrastructure with Tata Communications'AI Studio and global network, we're creating a future-ready platform that will enable AI transformation across industries," said A.S. Lakshminarayanan, managing director and CEO of Tata Communications. E2E Networks is enhancing its cloud infrastructure with NVIDIA Hopper GPUs to support large-scale AI models. Meanwhile, Netweb is increasing its range of Tyrone AI systems to boost India's AI research and enterprise capabilities. The company will provide access to clusters featuring NVIDIA Hopper GPUs, interconnected with NVIDIA Quantum-2 InfiniBand networking. This setup will support various applications, including simulations, foundation model training, and real-time AI inference. Meanwhile, Netweb is expanding its Tyrone AI systems, which are based on NVIDIA MGX, a modular reference architecture designed to accelerate enterprise data center workloads. The new systems will feature NVIDIA GH200 Grace Hopper Superchips, providing the computational power necessary for large hyperscalers, research centers, and supercomputing facilities across India and Asia. Sanjay Lodha, Chairman and Managing Director of Netweb, said, "Our next-generation systems will help the country's businesses and researchers build and deploy more complex AI applications trained on proprietary datasets." These developments are expected to drive innovation in AI applications, including large language models, scientific visualisations, and industrial AI projects.

NVIDIA CEO Jensen Huang to Spotlight Innovation at India's AI Summit

Innovators will gather in Mumbai to discuss how they're harnessing AI to solve global challenges, with over 50 sessions featuring insights from India's industry leaders, startups and experts. The NVIDIA AI Summit India, taking place October 23-25 at the Jio World Convention Centre in Mumbai, will bring together the brightest minds to explore how India is tackling the world's grand challenges. A major highlight: a fireside chat with NVIDIA founder and CEO Jensen Huang on October 24. He'll share his insights on AI's pivotal role in reshaping industries and how India is emerging as a global AI leader, and be joined by the chairman and managing director of Reliance Industries, Mukesh Ambani. Passes for the event are sold out. But don't worry -- audiences can tune in via livestream or watch on-demand sessions at NVIDIA AI Summit. With over 50 sessions, live demos and hands-on workshops, the event will showcase AI's transformative impact across industries like robotics, supercomputing and industrial digitalization. It will explore opportunities both globally and locally in India. Over 70% of the use cases discussed will focus on how AI can address India's most pressing challenges. India's AI Journey India's rise to become a global AI leader is powered by its focus on building AI infrastructure and foundational models. NVIDIA's accelerated computing platform, now 100,000x more energy-efficient for processing large language models than a decade ago, is driving this progress. If car efficiency had improved at the same rate, vehicles today would get 280,000 miles per gallon -- enough to drive to the moon with a single gallon of gas. As India solidifies its place in AI leadership, the summit will tackle key topics. These include building AI infrastructure with NVIDIA's advanced GPUs, harnessing foundational models for Indian languages, fueling innovation in India's startup ecosystem and upskilling developers to take the country's workforce to the AI front office. The momentum is undeniable. India's AI Summit: Driving Innovation, Solving Grand Challenges NVIDIA is at the heart of India's rise as an AI powerhouse. With six locations across the country hosting over 4,000 employees, NVIDIA plays a central role in the country's rapid progress in AI. The company works with enterprises, cloud providers and startups to build AI infrastructure powered by NVIDIA's accelerated computing stack comprising tens of thousands of its most advanced GPUs, high-performance networking, and AI software platforms and tools. The summit will feature sessions on how this infrastructure empowers sectors like healthcare, agriculture, education and manufacturing. Jensen Huang's Fireside Chat The fireside chat with Huang on October 24 is a must-watch. He'll discuss how AI is revolutionizing industries worldwide and India's increasingly important role as a global AI leader. To hear his thoughts firsthand, tune in to the livestream or catch the session on demand for insights from one of the most influential figures in AI. Key Sessions and Speakers Top industry experts like Niki Parmar (Essential AI), Deepu Talla (NVIDIA) and Abhinav Aggarwal (Fluid AI) will dive into a range of game-changing topics, including: These sessions will also introduce cutting-edge NVIDIA AI networking technologies, essential for building next-gen AI data centers. Workshops and Startup Innovation India's vibrant startup ecosystem will be in the spotlight at the summit. Nearly 2,000 companies in India are part of NVIDIA Inception, a program that supports startups driving innovation in AI and other fields. Onsite workshops at the AI Summit will offer hands-on experiences with NVIDIA's advanced AI tools, giving developers and startups practical skills to push the boundaries of innovation. Meanwhile, Reverse VC Pitches will provide startups with unique insights as venture capital firms pitch their visions for the future, sparking fresh ideas and collaborations. Industrial AI and Manufacturing Innovation NVIDIA is also backing India's industrial expansion by deploying AI technologies like Omniverse and Isaac. These tools are enhancing everything from factory planning to manufacturing and construction, helping build greenfield factories that are more efficient and sustainable. These technologies integrate advanced AI capabilities into factory operations, cutting costs while boosting sustainability. Through hands-on workshops and deep industry insights, participants will see how India is positioning itself to lead the world in AI innovation.

Start Local, Go Global: India's Startups Spur Growth and Innovation With NVIDIA Technology

India is becoming a key producer of AI for virtually every industry - powered by thousands of startups that are serving the country's multilingual, multicultural population and scaling out to global users. The country is one of the top six global economies leading generative AI adoption and has seen rapid growth in its startup and investor ecosystem, rocketing to more than 100,000 startups this year from under 500 in 2016. More than 2,000 are part of NVIDIA Inception, a free program for startups designed to accelerate innovation and growth through technical training and tools, go-to-market support and opportunities to connect with venture capitalists through the Inception VC Alliance. At the NVIDIA AI Summit, taking place in Mumbai through Oct. 25, around 50 India-based startups are sharing AI innovations delivering impact in fields such as customer service, sports media, healthcare and robotics. These Inception members will be showcasing their solutions onsite in the Startup Pavilion, in panel discussions and in a startup pitch session. Startups can also attend a reverse pitch session where venture capital firms share their vision for the next wave of innovation. Bengaluru-based startup CoRover.ai already has over a billion users of its LLM-based conversational AI platform, which includes text, audio and video-based agents. "The support of NVIDIA Inception is helping us advance our work to automate conversational AI use cases with domain-specific large language models," said Ankush Sabharwal, CEO of CoRover. "NVIDIA AI technology enables us to deliver enterprise-grade virtual assistants that support 1.3 billion users in over 100 languages." CoRover's AI platform powers chatbots and customer service applications for major private and public sector customers, such as the Indian Railway Catering and Tourism Corporation, the official provider of online tickets, drinking water and food for India's railways stations and trains. Dubbed AskDISHA, after the Sanskrit word for direction, the IRCTC's multimodal chatbot handles more than 150,000 user queries daily, and has facilitated over 10 billion interactions for more than 175 million passengers to date. It assists customers with tasks such as booking or canceling train tickets, changing boarding stations, requesting refunds, and checking the status of their booking in languages including English, Hindi, Gujarati and Hinglish - a mix of Hindi and English. The deployment of AskDISHA has resulted in a 70% improvement in IRCTC's customer satisfaction rate and a 70% reduction in queries through other channels like social media, phone calls and emails. CoRover's modular AI tools were developed using NVIDIA NeMo, an end-to-end, cloud-native framework and suite of microservices for developing generative AI. They run on NVIDIA GPUs in the cloud, enabling CoRover to automatically scale up compute resources during peak usage - such as the moment train tickets are released. Watch CoRover's session live at the AI Summit or on demand, and learn more about Indian businesses building multilingual language models with NeMo. VideoVerse, founded in Mumbai with offices in six countries, has built a family of AI models to support content creation in the sports media industry - enabling global customers including the Indian Premier League for cricket, the Vietnam Basketball Association and the Mountain West Conference for American college football to generate game highlights up to 15x faster and boost viewership. "Short-form video highlights that can be easily shared on social media can also help lesser-known sports gain audience attention and grow their fanbases," said VideoVerse CEO Vinayak Shrivastav. "AI-assisted content creation makes it feasible for emerging sports like longball and kabbadi to raise awareness with a limited marketing budget." VideoVerse's enterprise solution, called Magnifi, uses AI technologies such as vision analysis, natural language processing and optical character recognition to streamline editing workflows by detecting players, identifying key moments and tracking ball movement across multiple camera angles. Magnifi also adjusts video sizes automatically for horizontal and vertical formats across laptops, tablets and phones, ensuring the primary action remains centered in the frame. VideoVerse uses NVIDIA CUDA libraries to accelerate AI models for image and video understanding, automatic speech recognition and natural language understanding. The company runs its custom AI models on NVIDIA Tensor Core GPUs for inference. Watch VideoVerse's session live at the AI Summit or on demand. Mumbai-based startup Fluid AI offers generative AI chatbots, voice calling bots and a range of application programming interfaces to boost enterprise efficiency. Its AI tools can access an organization's knowledge base to provide teams with insights, reports and ideas - or to help accurately answer questions. Fluid AI's chatbots can be applied in customer service to increase agent productivity and reduce response times, generating accurate outputs in real time. Or, organizations can choose to deploy them with sales and customer-facing teams, using them for tasks like creating slide decks in under 15 seconds. Fluid AI taps NVIDIA NIM microservices, the NVIDIA NeMo platform and the NVIDIA TensorRT inference engine to deliver a complete, scalable platform for developing custom generative AI for its customers. The company is also exploring the use of NVIDIA Riva microservices to develop a voice experience for its chatbots that will help significantly reduce latency and offer higher-fidelity experiences. Its AI models run on NVIDIA GPUs in the cloud. "Our work with NVIDIA has been invaluable - the low latency and high fidelity that we offer on AI-powered voice calls come from the innovation that NVIDIA technology allows us to achieve," said Abhinav Aggarwal, founder of Fluid AI. Watch Fluid AI's session live at the AI summit or on demand. Karya, based in Bengaluru, is a smartphone-based digital work platform that enables members of low-income and marginalized communities across India to earn supplemental income by completing language-based tasks that support the development of multilingual AI models. Nearly 100,000 Karya workers are recording voice samples, transcribing audio or checking the accuracy of AI-generated sentences in their native languages, earning nearly 20x India's minimum wage for their work. Karya also provides royalties to all contributors each time its datasets are sold to AI developers. "By fairly compensating these communities for their digital work, we are able to boost their quality of life while supporting the creation of multilingual AI tools they'll be able to use in the future," said Manu Chopra, CEO of Karya. Karya's work helps enterprises accelerate the data design and collection process, enabling the creation of deployable AI solutions that cater to non-English speakers in India. The company will use NVIDIA NeMo and NVIDIA NIM to build its AI platform, which offers custom AI model training and pretrained models tailored to customers' business needs. Businesses and research centers can purchase the datasets Karya collects to train diverse, multilingual AI models. For example, Karya is working with the Bill and Melinda Gates Foundation to build the largest gender-intentional, open-source AI dataset in Indic languages yet. Karya is employing over 30,000 low-income women participants across six language groups in India to help create the dataset, which will support the creation of diverse AI applications across agriculture, healthcare and banking. Watch Karya's session live at the AI Summit or on demand. For more from the AI Summit, watch NVIDIA founder and CEO Jensen Huang's fireside chat with Mukesh Ambani, chairman and managing director of Reliance Industries.

Start Local, Go Global: India's Startups Spur Growth and Innovation With NVIDIA Technology

Over 2,000 local NVIDIA Inception members use NVIDIA software and accelerated computing to create AI-driven opportunities and transform nation into global AI powerhouse. India is becoming a key producer of AI for virtually every industry -- powered by thousands of startups that are serving the country's multilingual, multicultural population and scaling out to global users. The country is one of the top six global economies leading generative AI adoption and has seen rapid growth in its startup and investor ecosystem, rocketing to more than 100,000 startups this year from under 500 in 2016. More than 2,000 are part of NVIDIA Inception, a free program for startups designed to accelerate innovation and growth through technical training and tools, go-to-market support and opportunities to connect with venture capitalists through the Inception VC Alliance. At the NVIDIA AI Summit, taking place in Mumbai through Oct. 25, around 50 India-based startups are sharing AI innovations delivering impact in fields such as customer service, sports media, healthcare and robotics. These Inception members will be showcasing their solutions onsite in the Startup Pavilion, in panel discussions and in a startup pitch session. Startups can also attend a reverse pitch session where venture capital firms share their vision for the next wave of innovation. Conversational AI for Indian Railway Customers Bengaluru-based startup CoRover.ai already has over a billion users of its LLM-based conversational AI platform, which includes text, audio and video-based agents. "The support of NVIDIA Inception is helping us advance our work to automate conversational AI use cases with domain-specific large language models," said Ankush Sabharwal, CEO of CoRover. "NVIDIA AI technology enables us to deliver enterprise-grade virtual assistants that support 1.3 billion users in over 100 languages." CoRover's AI platform powers chatbots and customer service applications for major private and public sector customers, such as the Indian Railway Catering and Tourism Corporation, the official provider of online tickets, drinking water and food for India's railways stations and trains. Dubbed AskDISHA, after the Sanskrit word for direction, the IRCTC's multimodal chatbot handles more than 150,000 user queries daily, and has facilitated over 10 billion interactions for more than 175 million passengers to date. It assists customers with tasks such as booking or canceling train tickets, changing boarding stations, requesting refunds, and checking the status of their booking in languages including English, Hindi, Gujarati and Hinglish -- a mix of Hindi and English. The deployment of AskDISHA has resulted in a 70% improvement in IRCTC's customer satisfaction rate and a 70% reduction in queries through other channels like social media, phone calls and emails. CoRover's modular AI tools were developed using NVIDIA NeMo, an end-to-end, cloud-native framework and suite of microservices for developing generative AI. They run on NVIDIA GPUs in the cloud, enabling CoRover to automatically scale up compute resources during peak usage -- such as the moment train tickets are released. Watch CoRover's session live at the AI Summit or on demand, and learn more about Indian businesses building multilingual language models with NeMo. Powering the Future of Sports Media VideoVerse, founded in Mumbai with offices in six countries, has built a family of AI models to support content creation in the sports media industry -- enabling global customers including the Indian Premier League for cricket, the Vietnam Basketball Association and the Mountain West Conference for American college football to generate game highlights up to 15x faster and boost viewership. "Short-form video highlights that can be easily shared on social media can also help lesser-known sports gain audience attention and grow their fanbases," said VideoVerse CEO Vinayak Shrivastav. "AI-assisted content creation makes it feasible for emerging sports like longball and kabbadi to raise awareness with a limited marketing budget." VideoVerse's enterprise solution, called Magnifi, uses AI technologies such as vision analysis, natural language processing and optical character recognition to streamline editing workflows by detecting players, identifying key moments and tracking ball movement across multiple camera angles. Magnifi also adjusts video sizes automatically for horizontal and vertical formats across laptops, tablets and phones, ensuring the primary action remains centered in the frame. VideoVerse uses NVIDIA CUDA libraries to accelerate AI models for image and video understanding, automatic speech recognition and natural language understanding. The company runs its custom AI models on NVIDIA Tensor Core GPUs for inference. Watch VideoVerse's session live at the AI Summit or on demand. Rewriting the Narrative of Enterprise Efficiency Mumbai-based startup Fluid AI offers generative AI chatbots, voice calling bots and a range of application programming interfaces to boost enterprise efficiency. Its AI tools can access an organization's knowledge base to provide teams with insights, reports and ideas -- or to help accurately answer questions. Fluid AI's chatbots can be applied in customer service to increase agent productivity and reduce response times, generating accurate outputs in real time. Or, organizations can choose to deploy them with sales and customer-facing teams, using them for tasks like creating slide decks in under 15 seconds. Fluid AI taps NVIDIA NIM microservices, the NVIDIA NeMo platform and the NVIDIA TensorRT inference engine to deliver a complete, scalable platform for developing custom generative AI for its customers. The company is also exploring the use of NVIDIA Riva microservices to develop a voice experience for its chatbots that will help significantly reduce latency and offer higher-fidelity experiences. Its AI models run on NVIDIA GPUs in the cloud. "Our work with NVIDIA has been invaluable -- the low latency and high fidelity that we offer on AI-powered voice calls come from the innovation that NVIDIA technology allows us to achieve," said Abhinav Aggarwal, founder of Fluid AI. Watch Fluid AI's session live at the AI summit or on demand. Providing Data Work to Bridge the Digital Divide Karya, based in Bengaluru, is a smartphone-based digital work platform that enables members of low-income and marginalized communities across India to earn supplemental income by completing language-based tasks that support the development of multilingual AI models. Nearly 100,000 Karya workers are recording voice samples, transcribing audio or checking the accuracy of AI-generated sentences in their native languages, earning nearly 20x India's minimum wage for their work. Karya also provides royalties to all contributors each time its datasets are sold to AI developers. "By fairly compensating these communities for their digital work, we are able to boost their quality of life while supporting the creation of multilingual AI tools they'll be able to use in the future," said Manu Chopra, CEO of Karya. Karya's work helps enterprises accelerate the data design and collection process, enabling the creation of deployable AI solutions that cater to non-English speakers in India. The company will use NVIDIA NeMo and NVIDIA NIM to build its AI platform, which offers custom AI model training and pretrained models tailored to customers' business needs. Businesses and research centers can purchase the datasets Karya collects to train diverse, multilingual AI models. For example, Karya is working with the Bill and Melinda Gates Foundation to build the largest gender-intentional, open-source AI dataset in Indic languages yet. Karya is employing over 30,000 low-income women participants across six language groups in India to help create the dataset, which will support the creation of diverse AI applications across agriculture, healthcare and banking. Watch Karya's session live at the AI Summit or on demand. For more from the AI Summit, watch NVIDIA founder and CEO Jensen Huang's fireside chat with Mukesh Ambani, chairman and managing director of Reliance Industries.

Open for AI: India Tech Leaders Build AI Factories for Economic Transformation

Yotta Data Services, Tata Communications, E2E Networks and Netweb are among the providers building and offering NVIDIA-accelerated infrastructure and software, with deployments expected to double by year's end. India's leading cloud infrastructure providers and server manufacturers are ramping up accelerated data center capacity. By year's end, they'll have boosted NVIDIA GPU deployment in the country by nearly 10x compared to 18 months ago. Tens of thousands of NVIDIA Hopper GPUs will be added to build AI factories -- large-scale data centers for producing AI -- that support India's large businesses, startups and research centers running AI workloads in the cloud and on premises. This will cumulatively provide nearly 180 exaflops of compute to power innovation in healthcare, financial services and digital content creation. Announced today at the NVIDIA AI Summit, taking place in Mumbai through Oct. 25, this buildout of accelerated computing technology is led by data center provider Yotta Data Services, global digital ecosystem enabler Tata Communications, cloud service provider E2E Networks and original equipment manufacturer Netweb. Their systems will enable developers to harness domestic data center resources powerful enough to fuel a new wave of large language models, complex scientific visualizations and industrial digital twins that could propel India to the forefront of AI-accelerated innovation. Yotta Brings AI Systems and Services to Shakti Cloud Yotta Data Services is providing Indian businesses, government departments and researchers access to managed cloud services through its Shakti Cloud platform to boost generative AI adoption and AI education. Powered by thousands of NVIDIA Hopper GPUs, these computing resources are complemented by NVIDIA AI Enterprise, an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade copilots and other generative AI applications. With NVIDIA AI Enterprise, Yotta customers can access NVIDIA NIM, a collection of microservices for optimized AI inference, and NVIDIA NIM Agent Blueprints, a set of customizable reference architectures for generative AI applications. This will allow them to rapidly adopt optimized, state-of-the-art AI for applications including biomolecular generation, virtual avatar creation and language generation. "The future of AI is about speed, flexibility and scalability, which is why Yotta's Shakti Cloud platform is designed to eliminate the common barriers that organizations across industries face in AI adoption," said Sunil Gupta, cofounder, CEO and managing director of Yotta. "Shakti Cloud brings together high-performance GPUs, optimized storage and a services layer that simplifies AI development from model training to deployment, so organizations can quickly scale their AI efforts, streamline operations and push the boundaries of what AI can accomplish." Yotta's customers include Sarvam AI, which is building AI models that support major Indian languages; Innoplexus, which is developing an AI-powered life sciences platform for drug discovery; and Zoho Corporation, which is creating language models for enterprise customers. Tata Supports Enterprise AI Innovation Across Industries Tata Communications is initiating a large-scale deployment of NVIDIA Hopper architecture GPUs to power its public cloud infrastructure and support a wide range of AI applications. The company also plans to expand its offerings next year to include NVIDIA Blackwell GPUs. In addition to providing accelerated hardware, Tata Communications will enable customers to run NVIDIA AI Enterprise, including NVIDIA NIM and NIM Agent Blueprints, and NVIDIA Omniverse, a software platform and operating system that developers use to build physical AI and robotic system simulation applications. "By combining NVIDIA's accelerated computing infrastructure with Tata Communications' AI Studio and global network, we're creating a future-ready platform that will enable AI transformation across industries," said A.S. Lakshminarayanan, managing director and CEO of Tata Communications. "Access to these resources will make AI more accessible to innovators in fields including manufacturing, healthcare, retail, banking and financial services." E2E Expands Cloud Infrastructure for AI Innovation E2E Networks supports enterprises in India, the Middle East, the Asia-Pacific region and the U.S with GPU-powered cloud servers. It offers customers access to clusters featuring NVIDIA Hopper GPUs interconnected with NVIDIA Quantum-2 InfiniBand networking to help meet the demand for high-compute tasks including simulations, foundation model training and real-time AI inference. "This infrastructure expansion helps ensure Indian businesses have access to high-performance, scalable infrastructure to develop custom AI models," said Tarun Dua, cofounder and managing director of E2E Networks. "NVIDIA Hopper GPUs will be a powerful driver of innovation in large language models and large vision models for our users." E2E's clients include AI4Bharat, a research lab at the Indian Institute of Technology Madras developing open-source AI applications for Indian languages -- as well as members of the NVIDIA Inception startup program such as disease detection company Qure.ai, text-to-video generative AI company Invideo AI and intelligent voice agent company Assisto. Netweb Servers Advance Sovereign AI Initiatives Netweb is expanding its range of Tyrone AI systems based on NVIDIA MGX, a modular reference architecture to accelerate enterprise data center workloads. Offered for both on-premises and off-premises cloud infrastructure, the new servers feature NVIDIA GH200 Grace Hopper Superchips, delivering the computational power to support large hyperscalers, research centers, enterprises and supercomputing centers in India and across Asia. "Through Netweb's decade-long collaboration with NVIDIA, we've shown that world-class computing infrastructure can be developed in India," said Sanjay Lodha, chairman and managing director of Netweb. "Our next-generation systems will help the country's businesses and researchers build and deploy more complex AI applications trained on proprietary datasets." Netweb also offers customers Tryone Skylus cloud instances that include the company's full software stack, alongside the NVIDIA AI Enterprise and NVIDIA Omniverse software platforms, to develop large-scale agentic AI and physical AI. NVIDIA's roadmap features new platforms set to arrive on a one-year rhythm. By harnessing these advancements in AI computing and networking, infrastructure providers and manufacturers in India and beyond will be able to further scale the capabilities of AI development to power larger, multimodal models, optimize inference performance and train the next generation of AI applications. Learn more about India's AI adoption in the fireside chat between NVIDIA founder and CEO Jensen Huang and Mukesh Ambani, chairman and managing director of Reliance Industries, at the NVIDIA AI Summit.

NVIDIA Has Partnered With 2K+ Indian Startups Till Date: CEO

The move is part of NVIDIA's push in India, a key growth market for the company where demand for AI is booming US-based chipmaker NVIDIA has partnered with more than 2,000 Indian startups since its inception, CEO Jensen Huang said at the company's AI summit today (October 24). Huang said that NVIDIA has teamed up with the likes of ecommerce major Flipkart, SaaS startup Zoho, Bhavish Aggarwal-led AI unicorn Krutrim and Sarvam AI to develop large language models (LLMs) for Indian languages. Amid growing demand for AI infrastructure in India, Tata Communications, Reliance Industries, Yotta Data Services are using NVIDIA's technology to build advanced computing infrastructure in the country, according to the NVIDIA CEO. The company has also joined hands with medtech startup SigTuple and fitness startup CureFit to solve challenges in the healthcare sector, Huang said. The move is part of NVIDIA's push in India, a key growth market for the company where demand for AI is booming. India has emerged as a leader in the adoption of AI apps, with the country accounting for 21% of AI app downloads globally. AI app downloads by Indians surpassed the 2.2 Bn mark by August 2024, with ChatGPT, Microsoft Copilot, and Google Gemini being the top three most downloaded AI apps. To spur innovation within the homegrown AI ecosystem, the union cabinet approved IndiaAI Mission with a total outlay of INR 10,372 Cr over the next five years. Earlier today, it was reported that IndiaAI Datasets Platform will go live as soon as January 2025. On the back of this, the homegrown AI ecosystem has been making massive strides. Earlier this year, Krutrim became India's first AI unicorn.

2,000+ Startups Driving Growth with NVIDIA's Inception Program

This is what Jensen Huang meant when he said at the keynote - "Start local, go global." NVIDIA's Inception program, launched in 2016, is a virtual incubator designed to support startups with ideas in AI and data science. Today, it has grown to include over 2,000 startups. At NVIDIA AI Summit 2024, around 50 Indian startups are showcasing their AI innovations, with panels, pitches, and insights from venture capital firms. Bengaluru-based BharatGPT maker startup CoRover.ai serves over a billion users with its LLM-based conversational AI platform, offering text, audio, and video agents in over 100 languages. Supported by NVIDIA Inception, CoRover powers virtual assistants for clients like Indian Railways on many of its customer platforms. Their chatbot, AskDISHA on IRCTC, handles over 150,000 daily queries, assisting 175 million passengers with ticket bookings, refunds, and more, across multiple Indian languages, including Hindi, Gujarati, and Hinglish. This has boosted customer satisfaction by 70%. CoRover's AI tools, built with NVIDIA NeMo and running on cloud-based NVIDIA GPUs, automatically scale resources during peak times, such as when train tickets are released. The CEO of CoRover, Ankush Sabharwal said, "NVIDIA AI technology enables us to deliver enterprise-grade virtual assistants that support 1.3 billion users in over 100 languages." VideoVerse, based in Mumbai with global offices, uses AI to revolutionise sports media content creation, serving clients like the Indian Premier League and Vietnam Basketball Association. "Short-form video highlights that can be easily shared on social media can also help lesser-known sports gain audience attention and grow their fanbases," said VideoVerse CEO Vinayak Shrivastav. "AI-assisted content creation makes it feasible for emerging sports like longball and kabbadi to raise awareness with a limited marketing budget." Its AI-powered platform, Magnifi, generates game highlights up to 15x faster, boosting viewership and enabling smaller sports like longball and kabaddi to grow their fanbase on limited budgets. Magnifi leverages vision analysis, natural language processing, and optical character recognition to streamline editing, detect key moments, and trackball movement. VideoVerse utilises NVIDIA CUDA libraries and Tensor Core GPUs to accelerate AI models for image, video understanding, and speech recognition. Fluid AI, a Mumbai-based startup, provides generative AI chatbots, voice bots, and APIs to enhance enterprise efficiency. These tools leverage an organisation's knowledge base to deliver insights, reports, and accurate answers. Fluid AI's chatbots improve customer service by boosting agent productivity and reducing response times with real-time outputs. They can also support sales teams, generating tasks like slide decks in under 15 seconds. The company uses NVIDIA's NIM microservices, NeMo platform, and TensorRT inference engine to offer scalable, custom AI solutions. Fluid AI is further developing voice experiences using NVIDIA Riva microservices, aiming to reduce latency and enhance quality. "Our work with NVIDIA has been invaluable -- the low latency and high fidelity that we offer on AI-powered voice calls come from the innovation that NVIDIA technology allows us to achieve," said Abhinav Aggarwal, founder of Fluid AI. Karya, a Bengaluru-based platform, enables low-income and marginalised communities in India to earn income by completing language-based tasks for multilingual AI development. Nearly 100,000 workers record voice samples, transcribe audio, and verify AI-generated sentences in their native languages, earning up to 20 times India's minimum wage. Contributors also receive royalties when datasets are sold. Karya's efforts help accelerate AI development for non-English speakers, using NVIDIA's NeMo and NIM platforms to build custom AI models for businesses. A notable project includes collaboration with the Bill and Melinda Gates Foundation to create the largest open-source, gender-intentional AI dataset in Indic languages, employing over 30,000 women across six language groups. This dataset will support AI applications in agriculture, healthcare, and banking, enhancing both economic opportunities and multilingual AI solutions across India. "By fairly compensating these communities for their digital work, we are able to boost their quality of life while supporting the creation of multilingual AI tools they'll be able to use in the future," said Manu Chopra, CEO of Karya. This is what Jensen Huang meant when he said at the keynote - "Start local, go global."

Nvidia deepens India AI drive with new partnerships

Nvidia unveiled a series of new partnerships with Indian tech firms and data center providers on Tuesday, as the world's most valuable chip company expands its AI push in the world's most populous nation. The partnerships span cloud services firm tech consultancy giant Infosys, e-commerce giant Flipkart, software firm Zoho and Tech Mahindra that are using Nvidia's new Hindi language AI model, and infrastructure providers including Tata Communications and Yotta Data Services, the company said at its AI Summit in Mumbai. Tech Mahindra plans to deploy the model across banking and healthcare sectors, while the infrastructure providers will add tens of thousands of Nvidia Hopper GPUs by year-end. The announcement on Thursday follows Nvidia partnering with Reliance last year to work on building a large language model that is trained on India's diverse languages. At the time, Nvidia also partnered with conglomerate Tata to train 600,000 employees at the consultancy firm TCS with advancements in AI and build AI infrastructure with Tata Communications. The company said today that more than 2,000 Indian startups are using Nvidia's technology include CoRover.ai, which built Indian Railways' chatbot system handling 150,000 daily queries in multiple languages, and VideoVerse, developing AI tools for sports media content. The U.S. chip designer has trained more than 100,000 Indian AI developers, it said.