Yotta Data Services, a subsidiary of the Hiranandani Group, is playing a crucial role in strengthening India’s position in artificial intelligence (AI) innovation, particularly in the field of generative AI models. The company’s ambitious project, Shakti Cloud, aims to create India’s largest supercomputer, which has the potential to rank as the world’s 10th largest.
To achieve this ambitious goal, Yotta has achieved a significant milestone by acquiring 16,000 Nvidia H100 Tensor GPUs. This accomplishment is particularly noteworthy considering the global shortage of these GPUs, which has caused delays in various major projects worldwide. The successful acquisition of these GPUs by Yotta can be attributed to the meeting between Prime Minister Narendra Modi and Nvidia CEO Jensen Huang, held in September.
During the meeting, Prime Minister Modi expressed his vision of positioning India as a leader in AI innovation and sought Huang’s assistance. Recognizing the importance of India’s efforts, the Nvidia CEO pledged his support and offered technological help to local providers. This collaboration has enabled Yotta Data Services to secure the necessary resources to power their Shakti Cloud project.
The construction of Shakti Cloud and the acquisition of Nvidia GPUs mark significant progress in India’s AI capabilities. These advancements will not only enhance India’s presence in AI research and development but also contribute to the country’s overall technological growth. With the support of cutting-edge technology and strategic partnerships, Yotta Data Services is poised to drive innovation and propel India forward in the field of AI.
In conclusion, Yotta Data Services, in collaboration with Nvidia, is making significant strides in bolstering India’s AI innovation through the construction of Shakti Cloud and the acquisition of Nvidia GPUs. These developments will play a crucial role in positioning India at the forefront of AI research and development, driving technological advancements and fostering growth in the country.
