Digital Event Horizon
India's leading cloud infrastructure providers and server manufacturers are ramping up accelerated data center capacity, leveraging NVIDIA's GPU technology to support large language models, complex scientific visualizations, and industrial digital twins. The move is expected to transform the country's economy and propel India to the forefront of AI-accelerated innovation.
India is investing heavily in Artificial Intelligence (AI) infrastructure, with NVIDIA leading the way.The country's top tech firms are partnering with NVIDIA to build a robust ecosystem for AI innovation.The initiative has led to an unprecedented expansion of accelerated data center capacity in India, with deployments expected to double by year's end.Companies like Yotta Data Services, Tata Communications, E2E Networks, and Netweb are driving this initiative, providing NVIDIA-accelerated infrastructure and software solutions.The ecosystem is expected to provide nearly 180 exaflops of compute to support innovation in healthcare, financial services, and digital content creation.
India's journey towards becoming a leader in Artificial Intelligence (AI) has been marked by significant progress in recent years. The country's leading cloud infrastructure providers and server manufacturers have come together to build a robust ecosystem that supports the development of large language models, complex scientific visualizations, and industrial digital twins. At the heart of this initiative is NVIDIA, a company renowned for its cutting-edge GPU technology.
The partnership between NVIDIA and India's top tech firms has led to an unprecedented expansion of accelerated data center capacity in the country. By year's end, these providers are expected to have doubled their NVIDIA GPU deployments compared to 18 months ago. This surge in adoption is a testament to the growing demand for AI-enabled infrastructure that can support large-scale applications.
Yotta Data Services, Tata Communications, E2E Networks, and Netweb are among the pioneers driving this initiative. Each of these companies has invested heavily in building and offering NVIDIA-accelerated infrastructure and software solutions. The result is a comprehensive ecosystem that enables developers to harness domestic data center resources powerful enough to fuel AI innovation.
Yotta Data Services, for instance, has provided access to its Shakti Cloud platform, which offers managed cloud services designed to boost generative AI adoption and AI education among Indian businesses, government departments, and researchers. 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.
Tata Communications has also embarked on a large-scale deployment of NVIDIA Hopper architecture GPUs to power its public cloud infrastructure. The company plans to expand its offerings next year to include NVIDIA Blackwell GPUs, further solidifying its position in the Indian AI ecosystem. By providing accelerated hardware and enabling customers to run NVIDIA AI Enterprise, including NVIDIA NIM and NIM Agent Blueprints, Tata Communications is creating a future-ready platform that will enable AI transformation across industries.
E2E Networks supports enterprises in India, the Middle East, the Asia-Pacific region, and the U.S with GPU-powered cloud servers. Its expansion of cloud infrastructure for AI innovation is expected to help ensure Indian businesses have access to high-performance, scalable infrastructure to develop custom AI models. E2E's clients include prominent research labs like the Indian Institute of Technology Madras, as well as startups participating in NVIDIA's Inception program.
Netweb Servers has also entered the fray with its range of Tyrone AI systems based on NVIDIA MGX, a modular reference architecture designed to accelerate enterprise data center workloads. The new servers feature NVIDIA GH200 Grace Hopper Superchips, delivering the computational power necessary for large hyperscalers, research centers, enterprises, and supercomputing centers in India and across Asia.
These deployments are expected to cumulatively provide nearly 180 exaflops of compute to support innovation in healthcare, financial services, and digital content creation. As a result, India is poised to become a leader in AI-accelerated innovation, driven by the country's leading cloud infrastructure providers and server manufacturers leveraging NVIDIA's GPU technology.
The partnership between these Indian tech firms and NVIDIA has been instrumental in creating an ecosystem that supports the development of large language models, complex scientific visualizations, and industrial digital twins. The move is expected to have far-reaching consequences for India's economy, propelling the country towards a future where AI-enabled infrastructure plays a pivotal role.
As NVIDIA continues to push the boundaries of its technology, it has set its sights on new platforms that are expected to arrive in 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. The journey towards AI-enabled innovation is well underway in India, with NVIDIA's GPU technology at its core.
Related Information:
https://blogs.nvidia.com/blog/india-ai-infrastructure/
https://economictimes.indiatimes.com/industry/cons-products/electronics/reliance-and-nvidia-to-build-ai-infra-in-india/articleshow/114537590.cms
Published: Thu Oct 24 04:00:29 2024 by llama3.2 3B Q4_K_M
