Jio AI Cloud Partner: Sovereign GPU Infrastructure with NVIDIA H200 for India's AI Builders

Yes. Jio AI Cloud runs in Jio's Indian data centres, operated by an Indian company. Managed key management and hardware security modules are available at the platform layer for workloads that need to demonstrate control over keys as well as location.

The platform provides provisioned infrastructure. Everything above that — scheduler, drivers, container runtime, model serving, monitoring, on-call — is built and operated by us under a managed service, or by your team if you would rather. We are explicit about this boundary at the sizing stage so there is no gap later.

Worth understanding before you sign. Reserved capacity is chargeable in advance, and terminating a commitment early attracts the remaining contract value with a minimum notice period. At the end of a reserved term, capacity converts to pay-as-you-go by default unless you renew. Pay-as-you-go has no lock-in at all. For workloads with uncertain demand we recommend the shortest term first, and lengthening it only once measured utilisation justifies it.

It depends on the accelerator, the form factor, the term you commit to and current availability, so any number quoted without knowing your workload would be a guess. Pay-as-you-go bills on actual usage, and committed terms are priced meaningfully below list. Give us the ten sizing inputs and we will build a real bill of materials showing both, backed by ongoing cloud cost optimization once you're live.

Egress is billed on actual usage. Ingress treatment is confirmed for the configuration under consideration, and we verify both directions during sizing. For training workloads moving large datasets in and pulling weights and checkpoints out, transfer is a real line in the total cost rather than a rounding error, so we model it explicitly.

Jio Azure is Microsoft Azure delivered from Jio's Indian data centres — the full Azure service catalogue, in country. Jio AI Cloud is Jio's own GPU and AI platform. Different platforms, different use cases. We partner on both, so we have no reason to push you towards one.

Yes. Site-to-site VPN connectivity is available, with access restricted to your network ranges. This is a standard part of how we set up training environments.

GPU inventory varies with demand, so lead time is confirmed at the point of sizing rather than promised in advance. Getting the requirement defined early is the single best thing you can do to shorten it.

We work across AWS, Azure and Google Cloud as well, including as an AWS Cloud Partner. We favour Kubernetes, standard containers and widely used frameworks to reduce avoidable platform dependence. Any future migration path is assessed against the services your workload actually uses, and we will give you a straight answer on what it would take.