India · Buyer-side desk

AI infrastructure in India.

India has the steepest AI demand growth anywhere and an import regime that rewards preparation. The gap between a well-prepared Indian deal and a poorly prepared one is measured in months.

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At a glance

The constraints that decide a deployment here.

Import position
Customs duty and IGST apply; classification accuracy materially affects cost
Policy
National AI mission with public investment in domestic compute capability
Localisation
Sector-specific data localisation requirements, notably in financial services
Main metros
Mumbai, Chennai, Hyderabad, Bengaluru, Delhi NCR, Pune
Demand is not the constraint

The paperwork is.

India's AI adoption curve is steeper than almost anywhere, backed by public investment in domestic compute and an enormous services economy moving into automation. Capacity is being built at pace across Mumbai, Chennai, Hyderabad and Bengaluru, with subsea landings and power availability improving alongside.

What consistently decides Indian deals is the import leg. Customs duty and IGST apply, classification accuracy has a material effect on landed cost, and entries handled imprecisely sit at the port. Importer-of-record done properly is the difference between clearing in days and clearing in weeks.

We price Indian deals landed, with the duty and IGST position modelled up front, because an ex-works comparison here is more misleading than in almost any other market.

GPU racks in an Indian data centre with the Mumbai coastline beyond
Localisation and placement

Some data stays. Most does not have to.

Sector rules, particularly in financial services, impose genuine data localisation requirements. Where they apply, the design is a named in-country facility for the regulated layer and offshore capacity for everything the rules do not bind, connected privately.

That split matters more in India than elsewhere because the cost differential between local and offshore training capacity is significant. Treating the whole estate as localised is the expensive mistake, and it is a common one.

For workloads free to run anywhere, we price Indian placement against Singapore, the US and Europe honestly. The regional context is on the APAC desk.

Where to next

Start from what is verified.

Current verified lines with quantities, lead times and indicative pricing are public on the live inventory. Anything not listed becomes a sourcing requirement with a first pass inside one business day.

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Straight answers

Asked first, answered straight.

What does it cost to import GPUs into India?

Customs duty and IGST apply, and the tariff classification you enter under has a material effect on the total. We model the landed cost up front rather than quoting ex-works, because the gap between the two is larger here than in most markets.

Do we need an importer of record?

If you do not hold import capability in India, yes, and using one properly is frequently the difference between a two-week clearance and a much longer one. It is part of the same desk.

Does data localisation apply to us?

It depends on your sector. Financial services face the clearest requirements. Where localisation binds part of your estate, we design a split rather than localising everything, which is usually the expensive default.

Which Indian metro should we deploy in?

It depends on latency to your users, power availability and which facilities can take AI densities today. Mumbai and Chennai lead on connectivity through subsea landings; Hyderabad and Bengaluru on capacity growth.

Talk to the desk

Working through this on a real requirement?

Twenty minutes with the desk, no pitch and no quote at the end of it. Tell us roughly what you need and we will come back within one business day.

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