India’s leading cloud infrastructure providers and server manufacturers are accelerating and increasing their data center capacity. By the end of the year, domestic NVIDIA GPU adoption will increase nearly 10 times compared to 18 months ago.
Tens of thousands of NVIDIA Hopper GPUs to build AI factories (large-scale data centers for producing AI) supporting large Indian enterprises, startups, and research centers running AI workloads in the cloud and on-premises will be added. This will deliver a cumulative total of approximately 180 exaflops of compute to power innovation in healthcare, financial services, and digital content creation.
The accelerated computing technology, announced today at the NVIDIA AI Summit in Mumbai until October 25, is being built by data center provider Yotta Data Services, global digital ecosystem enabler Tata Communications, and cloud It is led by service provider E2E Networks, and original equipment manufacturer Netweb. .
The company’s systems enable developers to create systems powerful enough to power a new wave of large-scale language models, complex scientific visualizations, and industrial digital twins that could catapult India to the forefront of AI-accelerated innovation. You will be able to take advantage of domestic data center resources.
Yotta brings AI systems and services to Shakti Cloud
Yotta Data Services provides access to managed cloud services to businesses, government departments, and researchers in India through its Shakti Cloud platform to accelerate generative AI adoption and AI education.
Powered by thousands of NVIDIA Hopper GPUs, these compute resources are an end-to-end, cloud-native solution that accelerates data science pipelines and streamlines the development and deployment of production-grade CoPilot and other generative AI applications. It is complemented by the NVIDIA AI Enterprise software platform. .
With NVIDIA AI Enterprise, Yotta customers have access to 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. can be accessed. This enables rapid deployment of cutting-edge AI optimized for applications such as biomolecule 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 remove common barriers faced by organizations across industries when it comes to AI adoption.” said Sunil Gupta, co-founder, CEO and managing director. “Shakti Cloud integrates high-performance GPUs, optimized storage, and a service layer that simplifies AI development from model training to deployment, so organizations can quickly scale their AI efforts, streamline operations, and We can push the limits of what AI can achieve.”
Yotta’s customers include Sarvam AI, which builds AI models that support India’s major languages. Innoplexus develops an AI-powered life sciences platform for drug discovery. Zoho Corporation creates language models for enterprise customers.
Tata supports enterprise AI innovation across industries
Tata Communications has begun large-scale deployment of NVIDIA Hopper architecture GPUs to power its public cloud infrastructure and support a wide range of AI applications. The company plans to expand its offerings to include NVIDIA Blackwell GPUs next year.
In addition to delivering accelerated hardware, Tata Communications also offers customers NVIDIA AI Enterprise, including NVIDIA NIM and NIM agent blueprints, and software that developers use to build physical AI and robotic system simulation applications. Enables you to run NVIDIA Omniverse, a platform and operating system.
“By combining NVIDIA’s accelerated computing infrastructure with Tata Communications’ AI Studio and global network, we are building a future-ready platform that will enable AI transformation across industries,” said Managing Director, Tata Communications. said AS Lakshminarayanan, CEO and CEO. “Access to these resources will make AI more accessible to innovators in sectors such as manufacturing, healthcare, retail, banking, and financial services.”
E2E expands cloud infrastructure for AI innovation
E2E Networks supports companies in India, the Middle East, Asia Pacific, and the United States with GPU-powered cloud servers.
It provides customers with access to clusters with NVIDIA Hopper GPUs interconnected with NVIDIA Quantum-2 InfiniBand networking to meet the demands of high-computing tasks such as simulation, underlying model training, and real-time AI inference. Helpful.
“This infrastructure expansion will ensure that Indian companies have access to high-performance, scalable infrastructure to develop custom AI models,” said Tarun Dua, Co-Founder and Managing Director, E2E Networks. says Mr. “NVIDIA Hopper GPUs will be a powerful driver for innovation in large-scale language models and large-scale vision models for our users.”
E2E customers include AI4Bharat, a lab at the Indian Institute of Technology Madras that develops open source AI applications for Indian languages, disease detection company Qure.ai, and the NVIDIA Inception startup program, which includes text-to-video generation. Contains members of. Invideo AI, an AI company, and Assisto, an intelligent voice agent company.
Net Web Server Advances Sovereign AI Efforts
Netweb is expanding its range of Tyrone AI systems based on NVIDIA MGX, a modular reference architecture that accelerates enterprise data center workloads.
Offered for both on-premises and off-premises cloud infrastructure, this new server is powered by the NVIDIA GH200 Grace Hopper superchip and is available for large-scale hyperscalers, research centers, enterprises, and supercomputing centers across India and Asia. provides the computing power to support
Sanjay Lodha, Chairman and Managing Director of Netweb, said: “Through our 10-year collaboration with Netweb and NVIDIA, we have proven that world-class computing infrastructure can be developed in India.” It helps you build and deploy more complex AI applications trained on datasets.”
Netweb also offers its customers Tryone Skylus cloud instances, which include the company’s complete software stack, along with the NVIDIA AI Enterprise and NVIDIA Omniverse software platforms, for developing agent and physical AI at scale.
NVIDIA’s roadmap states that new platforms will be introduced on a yearly basis. By leveraging these advances in AI computing and networking, infrastructure providers and manufacturers in India and abroad can further expand the capabilities of AI development to power larger multimodal models, optimize inference performance, and Now you can train the next generation of AI applications.
Learn more about India’s AI adoption in this fireside conversation between NVIDIA Founder and CEO Jensen Huang and Reliance Industries Chairman and Managing Director Mukesh Ambani at the NVIDIA AI Summit.
