Monthly Archives: October 2024

Information technology giants including Infosys, TCS, Tech Mahindra and Wipro are teaming with NVIDIA to accelerate AI adoption. They’re creating new jobs and training nearly half a million developers for the era of AI.

This great upskill is introducing a new wave of opportunity.

IT is a leading Indian export, and IDC reports that the Indian domestic IT & Business Services market was valued at $14.5 billion in 2023. Now, India’s technology leaders are taking on an expanded role as the industry shifts from providing IT services to consulting with global clients to meet the demand for front-office AI applications.

“In the coming years, IT service investments will be driven by interest in gen AI,” said Harish Krishnakumar, senior market analyst of IT Services at IDC India. “Enterprises will continue engaging with IT service providers to develop potential use cases and POCs and also to transform and manage their complex IT infrastructure and applications.”

Agents of Innovation

India’s IT consulting giants are helping clients deploy AI with custom-built solutions that use the NVIDIA AI Enterprise software platform. Clients can use these generative AI applications that include virtual agents that can learn, reason and take action to drive new levels of productivity and foster breakthroughs to help solve complex challenges across healthcare, climate, agriculture, manufacturing and more.

Consulting experts are creating custom models with NVIDIA NeMo and deploying AI in production with NVIDIA NIM microservices. Using NVIDIA NIM Agent Blueprints  — including a new blueprint for customer service announced today at the NVIDIA AI Summit in India — consultants are helping global clients tailor AI agents for their unique needs.

NeMo Curator is playing a key role in enabling consulting experts to train highly accurate sovereign AI for India and neighboring Southeast Asian countries. With NeMo Curator, consulting companies are processing high-quality data at scale in these low-resource languages and generating synthetic data to augment their existing datasets.

With NVIDIA RAPIDS, they’re accelerating data analytics to create a robust foundation for AI development and retrieval-augmented generation (RAG).

As manufacturing leaders seek to use physical AI to scale production, efficiency and safety, leading consulting firms are also tapping into the NVIDIA Omniverse Enterprise development platform to create industrial AI digital twins.

Consulting Leaders Create New Job Opportunities in AI

Goldman Sachs forecasts that AI has the potential to automate up to 20% of work tasks in emerging economies, including India. NVIDIA’s technology consulting partners are helping professionals and clients get ready for these AI-driven opportunities with full-stack NVIDIA AI.

• Infosys uses NVIDIA AI Enterprise for Infosys Topaz, an AI-first set of offerings, to help businesses quickly adopt and integrate generative AI into their operations. It has set up an NVIDIA Center of Excellence that’s spearheading the reskilling of employees, development of solutions and adoption of NVIDIA technology across enterprises.
• Tata Consultancy Services features NVIDIA AI Enterprise software in its industry solutions for automotive, manufacturing, telecommunications, financial services, retail and many other industry verticals. It has trained 50,000+ AI associates to help clients develop and implement AI strategies that are scalable, sustainable and responsible.
• Tech Mahindra offers the Tech Mahindra Optimized Framework built on NVIDIA AI Enterprise to advance sovereign large language model frameworks and bring generative AI into mainstream enterprise applications. As part of the framework, Tech Mahindra will establish a Center of Excellence and introduce Project Indus 2.0, an advanced Hindi-based AI model that uses a new NIM microservice for the Nemotron-4-Hindi 4B model. It has reskilled over 45,000 employees through its AI proficiency framework.
• Wipro has built its Wipro Enterprise Generative AI Studio with NVIDIA AI Enterprise to accelerate industry-specific use cases for supply chain management, marketing campaigns, contact center agents, financial services, retail and more. It has trained more than 225,000 employees — nearly its entire workforce — to be ready to serve AI client demands.

Faster Fixes: NIM Agent Blueprint for Customer Service Debuts to Speed Resolution

The new NIM Agent Blueprint for customer service can help India’s consulting leaders quickly build custom AI virtual assistants for call center clients. These AI virtual assistants can recommend solutions to resolve issues and help people efficiently serve customers.

Powered by NVIDIA NIM microservices and RAG, the blueprint shows how to build a solution that supports context-aware, multi-turn conversations and can provide general and personalized Q&A responses based on structured and unstructured data. Using NVIDIA NeMo Guardrails, developers can ensure that the AI virtual agents stay on topic.

NVIDIA’s consulting partners can help customers tailor the customer service agent blueprint to build unique virtual assistants using their preferred AI model — including sovereign LLMs from India-based model makers — and efficiently run it in production on the infrastructure of their choice with NVIDIA NIM.

Try the new NVIDIA NIM Agent Blueprint for free or get notified of the upcoming release of a downloadable version of the blueprint.

To learn more, watch the NVIDIA AI Summit India keynote with NVIDIA founder and CEO Jensen Huang.

Editor’s note: IDC figures and statement courtesy of IDC, “Worldwide Semiannual Services Tracker,” April 2024, and IDC: India’s IT Services Market Grows by 6.6% in 2023 as Enterprises Focus on Critical Projects, press release from June 2024.

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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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More