This development follows Nvidia’s partnerships with Reliance and Tata Group companies in September last year
Nvidia is delivering GH200 AI chips, which is its advanced computing architecture designed for AI, high-performance computing and data analytics
Tata Communication's Lakshminarayanan said that the full launch of the AI Cloud with Nvidia is expected in the third quarter of this fiscal year
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US-based AI chip giant Nvidia is now providing its latest chips to its Indian partners, such as Tata Communications and Jio Platforms, to help build AI-cloud infrastructure in India.
As per Moneycontrol’s report, citing Nvidia’s Managing Director for South Asia, Vishal Dhupar, and Tata Communications Managing Director and CEO, A.S. Lakshminarayanan, the company is delivering GH200 AI chips, which is its advanced computing architecture designed for AI, high-performance computing and data analytics.
Lakshminarayanan said that the full launch of the AI Cloud with Nvidia is expected in the third quarter of this fiscal year for Tata Communications.
This development follows Nvidia’s partnerships with Reliance and Tata Group companies in September last year to create AI-powered supercomputers, AI clouds, and generative AI applications.
The development comes against the backdrop of reports Indian government eyeing a deal with the US-based chipmaker NVIDIA to procure graphics processing units (GPUs) for its artificial intelligence (AI) mission.
Under this, the government will reportedly be exploring two potential methods to furnish AI computing infrastructure to its companies, namely “rent-and-sublet” model and the marketplace method.
Earlier in March this year, NVIDIA’s Dhupar outlined that Nvidia is keen on partnering with more Indian companies to deploy its AI solutions.
Notably, Nvidia has already made its first major AI bet in India via real estate mogul Niranjan Hiranandani-backed Yotta Data Services by providing it with 16000 chips.
What makes Nvidia’s products most sought-after is the fact that they are essential for the development of AI and are essential for training large language models (LLMs) and building apps such as OpenAI’s ChatGPT.
It is pertinent to note that India currently lacks adequate GPUs. Moreover, those companies that are considering using computing power from other countries, are finding it difficult to do so because it costs them a lot.
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