Sovereign AI & GPU Cloud
India-located AI infrastructure: GPUs, data, and models all resident within Indian jurisdiction. Built for regulated sectors and government workloads where the DPDP Act and data-residency mandates are hard requirements — no building a private data centre to meet them.
Overview
For some AI and GPU workloads, where the compute physically sits is not a negotiable detail — it is the requirement. Data residency regulations under the Digital Personal Data Protection (DPDP) Act, sector-specific mandates from RBI and IRDAI, and enterprise trust policies demand that training data, model weights, and inference traffic never leave Indian jurisdiction. Sovereign AI and GPU Cloud delivers India-located NVIDIA A100, H100, H200, and B200 GPU infrastructure purpose-built for regulated and trust-sensitive AI workloads. Compute, storage, and networking are housed within Indian data centres with contractual data residency guarantees, auditable access controls, and compliance documentation for every audit cycle. Your models train and serve on sovereign ground, with no data export, no cross-border inference, and no jurisdiction ambiguity.
Clevertek scopes every engagement to your environment — capacity, sites, compliance and support model — so you get a tailored plan rather than a fixed SKU. Pricing is quote-only, and our solutions architects will work through your requirements before any proposal.
Our approach
We deploy and operate sovereign AI infrastructure within Indian borders: GPU clusters, object and file storage, high-speed fabric networking, and the full software stack (CUDA, PyTorch, TensorFlow, Kubeflow, vLLM) all resident in-region. Every tenant workload is isolated at the network, storage, and GPU level with role-based access control and full audit logging. The physical infrastructure is housed in Tier-III and Tier-IV data centres in Mumbai, Delhi, Bangalore, Hyderabad, Chennai, and Pune — with cross-region replication options within India for disaster recovery. We manage the full stack from the accelerator up, so your team builds and deploys AI on a sovereign substrate without standing up or operating a GPU-optimised data centre. Compliance artefacts — including data residency certificates, access logs, and audit trails — are generated from the platform control plane on demand.
Why work with us
Contractual data residency guarantee
Compute, storage, and data remain within Indian jurisdiction by contract, not by convenience. Every workload runs on infrastructure physically located in Indian data centres with no cross-border data transfer.
NVIDIA GPU infrastructure in-region
NVIDIA A100 (80 GB), H100 (80 GB SXM), H200 (141 GB), and B200 Blackwell GPUs deployed across Indian metros. NVLink, NVSwitch, and InfiniBand HDR interconnects for training at scale.
Compliance-ready by design
Built for DPDP Act, RBI outsourcing circulars, IRDAI data localisation requirements, and ISO 27001-certified operations. Audit logs, access trails, and residency certificates generated from the platform.
Same performance as global cloud
Sovereign location does not mean compromised performance. The same NVIDIA GPU generations, same fabric interconnects, same software stack — placed in-region with the latency and throughput profile your workloads need.
Key benefits
What this solution delivers for your business.
Meet regulatory data localisation mandates
DPDP Act, RBI guidelines for financial data, IRDAI norms for insurance, and MeitY directives all require certain data classes to remain in-country. Sovereign AI Cloud satisfies these with contractual guarantees and auditable compliance evidence.
Eliminate cross-border data transfer risk
Training data, model weights, and inference requests never cross Indian borders. No exposure to foreign legal frameworks, no uncertainty about data access by non-Indian entities, no jurisdiction disputes.
GPU capacity without building a data centre
Standing up a GPU-optimised facility costs tens of crores and takes 18-24 months. Sovereign AI Cloud delivers the same in-region capability as an operating expense, provisioned in days.
Enterprise trust and board-ready assurance
Independent audits, access logging, penetration testing, and compliance certifications that satisfy enterprise risk committees and board-level data governance reviews.
What's included
Part of this managed service.
India-located GPU infrastructure
NVIDIA A100, H100, H200, and B200 GPUs deployed in Tier-III and Tier-IV Indian data centres. Multi-GPU nodes with NVLink and NVSwitch, rack-scale density with liquid or high-velocity air cooling.
- NVIDIA H100 and H200 in Mumbai, Delhi, Bangalore
- B200 Blackwell GPUs for next-gen AI workloads
- NVLink 4.0 interconnects at 900 GB/s per node
- Tier-III and Tier-IV facilities with redundancy
Data residency enforcement
All tenant data — training sets, model weights, checkpoints, inference logs — stored within Indian borders. Cross-region replication limited to Indian metro pairs (Mumbai-Delhi, Bangalore-Hyderabad). No data egress outside India by design.
- Contractual data residency SLA
- No cross-border replication paths
- In-region object and file storage
- Auditable data movement logs
Compliance and audit readiness
Access logs, tenant isolation evidence, data residency certificates, and penetration test reports generated from the platform control plane. Built for DPDP Act, RBI, and IRDAI audit cycles.
- Role-based access with full audit trail
- Data residency certificates on demand
- ISO 27001-certified operations
- Penetration testing reports available
Full-stack AI platform
CUDA 12.x, PyTorch 2.x, TensorFlow 2.x, JAX, Kubeflow, MLflow, vLLM, and Hugging Face pre-installed on sovereign instances. Same framework versions as global cloud for development portability.
- CUDA and NVIDIA AI Enterprise stack
- PyTorch, TensorFlow, JAX, Kubeflow
- vLLM and TGI for inference serving
- MLflow for experiment tracking
Where it helps
Real-world scenarios where this solution delivers measurable outcomes.
Regulated financial services AI
Build credit-scoring, fraud-detection, and customer-service AI models on India-located GPU infrastructure. Training data (transaction history, KYC records) never leaves Indian jurisdiction, satisfying RBI outsourcing guidelines.
Government AI workloads
Deploy AI applications for e-governance, public service delivery, and citizen-facing analytics on sovereign infrastructure. Data classified under government security policies remains within Indian borders with air-gapped access controls.
Questions buyers actually ask
How is this different from standard GPUaaS?
Same NVIDIA GPU hardware and software stack, with a contractual guarantee that compute and data remain in India. Standard GPUaaS may use in-region capacity by default; Sovereign AI Cloud makes it a contractual requirement with auditable compliance evidence.
Does sovereign mean slower GPU performance?
No. The same NVIDIA H100, H200, and B200 GPUs with the same NVLink and InfiniBand interconnects are deployed. The difference is location guarantee, not hardware capability.
What compliance certifications does the infrastructure hold?
ISO 27001, SOC 2 Type II, and DPDP Act readiness. Specific sector compliance (RBI, IRDAI, SEBI) is mapped to each tenant workload during onboarding with evidence packages generated quarterly.
Can we replicate data across Indian regions for DR?
Yes. Cross-region replication is supported between Indian metro pairs — Mumbai-Delhi, Bangalore-Hyderabad, Chennai-Pune — with all traffic staying within Indian borders on dedicated interconnect links.
Ready to scope a solution?
Talk to a Clevertek solutions architect about your requirements — no obligation.