The wait is finally over. NVIDIA has commenced the delivery of its latest GH200 AI chips to Indian partners Tata Communications and Jio Platforms. This is part of NVIDIA’s broader initiative to enhance India’s AI-cloud infrastructure, following its partnerships with Reliance and Tata Group companies, announced in September last year.
The GH200 AI chips, designed for high-performance computing, and data analytics, are being integrated into the AI-cloud infrastructure of Tata Communications and Jio Platforms.
Tata Communications Managing Director and CEO A.S. Lakshminarayanan confirmed that the installation process is underway, with a full launch of the AI Cloud with NVIDIA expected by the third quarter of this fiscal year.
The Indian government has been proactive in its support for AI development, as evidenced by the IndiaAI mission launched in March 2024. This mission aims to make India a global leader in AI by investing in computing infrastructure, fostering innovation, and supporting startups.
The government’s commitment is further underscored by significant investments, including a INR 10,300 crore allocation to expand AI infrastructure and make GPUs more accessible.
In March 2024, Yotta being an elite partner received the first shipment of the 4000 H100s, a first shipment of the NVIDIA GPUs to India. Yotta plans to scale up its GPU inventory to 32,768 units by the end of 2025. Last year, the company announced that it would import 24,000 GPUs, including NVIDIA H100s and L40S, in a phased manner.
However, acquiring the highly valued NVIDIA GPUs is no mean feat. NVIDIA sells its GPUs through the NVIDIA Partner Program, which includes Registered, Preferred, and Elite categories. According to NVIDIA’s blog post, Elite partners represent the highest level of partnership and the tag is reserved for those demonstrating exceptional commitment.
Gupta added that India could build five GPT-4 models simultaneously using its existing infrastructure. “I have ordered 16,000 [GPUs], so if there are five customers each wanting to make a GPT-4, I can handle their load simultaneously,” said Gupta.
