Data centre and AI cloud firm Yotta Data Services plans to deploy approximately $7 billion in capital expenditure this year and double that amount next year as it expands its GPU cloud business and positions itself as a global provider of AI infrastructure services. According to reports from Business Standard, the company has already deployed $3 billion in capex this year and expects another $4 billion or more to be invested between November and January. The investments will help raise its operating capacity to around 175-180 megawatts by the end of the year, primarily supporting its cloud and AI services business. As per Yotta chairman and co-founder Darshan Hiranandani, the company has the ability to scale significantly within its existing campuses, with its Mumbai facility designed for up to 2 gigawatts of capacity and the Greater Noida campus supporting another 250 megawatts.
The company expects 75 per cent of its revenue this year to come from global customers, underscoring its strategy of serving international demand from India rather than focusing solely on the domestic market. As reported by Business Standard, Hiranandani stated that "We are not a company that wants to deliver goods and services only to Indian customers. This year, 75 per cent of our revenue will come from global companies." The company operates data centre campuses in Mumbai and Greater Noida and is evaluating various capital-raising options, including a domestic listing, although it has not set a timeline. According to recent reports, Yotta plans to transition into a public limited company and begin making broader public disclosures even before any eventual listing.
Yotta has contracted more than 30,000 additional graphics processing units (GPUs) and has room to deploy another 45,000 GPUs in the future. According to Business Standard, the company was among the first in India to bring large-scale Nvidia GPU clusters into operation and today serves global customers seeking AI training and inference capabilities. The company's AI cloud ambitions have also benefited from recent geopolitical developments, with some AI workloads originally planned for West Asia being temporarily redirected to other regions, including India, amid uncertainty in the region. As per Hiranandani, the challenge in building an AI cloud business extends far beyond acquiring GPUs, stating "Buying GPUs is the easiest part. The difficult part is running the clusters, configuring applications and learning how to operate at scale."
The aggressive expansion comes amid rising global demand for AI computing infrastructure, with the company benefiting from temporary geopolitical shifts. As reported by Business Standard, Hiranandani noted that "Some of the AI deployments that were going to go there have gone to other parts of the world, including to us. On a temporary basis, we have benefited from that shift." The company is also seeing growing international interest in the sovereign cloud infrastructure it has built for India, with requests to replicate similar solutions in overseas markets. Unlike many domestic data centre operators that focus primarily on colocation, Yotta sees itself as competing in the global AI infrastructure market, catering to European, Singaporean and American customers who compare it with providers around the world. While Yotta continues to provide colocation services, including being one of the largest providers of data centre space to global tech players in India, cloud-managed services, GPU cloud and AI services now form the core of its growth strategy.
