The inner workings of Asia's largest data centre, in Navi Mumbai
ฝัง
- เผยแพร่เมื่อ 6 พ.ค. 2024
- India has the 14th highest number of data centres and houses 151 of them, according to reports. But they’re not enough. The demand for data centres in the country has suddenly aggravated. The market is witnessing fast growth, with investments pouring in.
One such company is Mumbai-based Yotta Data Services, which is rapidly expanding its footprint. Backed by Hiranandani Group, the five-year-old startup was recently in the limelight after it became the first Indian company to acquire AI chips from NVIDIA. Forbes India got a chance to take a tour of Yotta’s datacenter park in Navi Mumbai, which currently has 7,200 server racks powered by almost 60 megawatts of power. In this video, co-founder Sunil Gupta, who is also known as the Data Centre Man of India, takes us through the use cases of these AI chips, the current data centre boom, the importance of data localization, and much more.
#datacenter #nvidia #ai #aichips
Very proud of you Sunil Guptaji 🎉🎉
Indian govt must co-invest with private players to set-up datacenters out-side metro cities. Nuclear power generation is essential for running AI datacenters. Rural India can provide the majority of human resources to operate the business.
Underrated video
This man is a visionary.
nice
IT-factory to AI-garage. Jensen did a good job of selling his chips to India.
so whats your opinion we should give a command of our data to western countries??
Is he really known as the data centre man of India? If so, who came up with the title 😂😂😂
Better to call him DC Man.
How about sustainability due to massive power consumption ?
Solar
its kinda shameful for India has to import chips n depend on other countries despite being the largest software market in the world. politicians are busy figting n winning elections with religious sentiments. high time someone has to lay the ground works for manufacturing semi conductor chips. future of the nation depends on semi conductor chips only.
Democracies loosing to autocratic CCP due to politicians rivalries.