Authorised Yotta Partner
Yotta operates two of India's largest Tier IV data centre campuses — NM1 in Navi Mumbai and D1 in Greater Noida — and sells cloud compute, GPU capacity and rack colocation from them. For Indian businesses the appeal is straightforward: infrastructure physically in India, contracted in INR with an Indian entity, at colocation economics that hyperscalers do not match for steady workloads. Pricing is quote-based rather than published rate cards, because it varies with commitment, power draw and term.
General workloads moving off on-premise servers
AI and ML training workloads
Businesses owning their own hardware
Backup, archive and large file storage
Colocation in India is priced on power, not floor space — you contract for kilowatts per rack, and a densely populated rack costs more than an empty one of the same size. That catches buyers who budget by rack count. On data residency: the DPDP Act does not impose blanket localisation, but RBI requires payment system data in India, and government and PSU tenders frequently require it. If either applies to you, an Indian Tier IV facility stops being a preference and becomes a requirement. For steady 24x7 workloads, colocation or committed cloud at Yotta is often materially cheaper than equivalent hyperscaler capacity over three years — the comparison is worth running properly rather than assuming cloud is cheaper.
WhatsApp +91 98119 98370 with your workload profile — vCPU and RAM, storage volume, or rack and kW requirement. As a Yotta partner we obtain quotes in INR with GST, model colocation against cloud over a three-year horizon, and manage migration.
By quote rather than a public rate card, because pricing moves with commitment level, term length and workload profile. Committed terms price substantially below on-demand. Send your workload profile and we will get a current INR quote with GST.
Yotta's GPU cloud, built for AI and machine-learning workloads on NVIDIA hardware hosted in India. The reason Indian businesses use it rather than an offshore GPU provider is usually that training data cannot leave the country, or that INR contracting with an Indian entity is simpler for procurement.
Per kilowatt of power per rack, per month, plus cross-connect and bandwidth. Power is the constraint in a data centre, not floor area, so a rack drawing 8 kW costs more than one drawing 3 kW. Budget on your actual power draw rather than on rack count.
For steady, predictable 24x7 workloads over a multi-year horizon, frequently yes — particularly with colocation where you own the hardware. For variable or bursty workloads, hyperscalers win because you stop paying when you scale down. Run the three-year total both ways, including the people cost of operating it.
It puts your infrastructure physically in India under an Indian entity, which addresses the residency element of RBI payment-data rules and most government tender requirements. Residency is one part of compliance — controls, audit and contractual terms matter too — but it is the part that is impossible to retrofit if your data is already offshore.
Send us your workload or rack requirement and we will quote Yotta in INR with GST, and model it honestly against AWS and Azure over three years.