Explore the Features That Ensure Sovereignty
Owning your infrastructure doesn’t mean you control your cloud. Legacy platforms like VMware and Nutanix were never built for today’s realities—AI, data sovereignty, and regulatory pressure. Sovereign. Cloud gives you a clean break: modern, open, and completely under your control.
The Problem with Legacy Platforms
Lock-in
You don’t own your stack—vendors do. Licensing restrictions, proprietary formats, and upgrade dependencies keep you locked into someone else’s roadmap.
High Costs
Legacy vendors charge for everything—hypervisors, management consoles, monitoring, support—and none of it scales well.
Complexity
You end up stitching together multiple tools and platforms just to make basic cloud functions work. It’s fragile and inefficient.
Not Sovereign by Design
Air-gapped, RBAC-enabled, and aligned with DPDP/RBI norms
Designed for enterprises with complex, high-scale, and high-control infrastructure needs.
Best suited for environments where:
Massive Workloads
New projects exceed 100+ microservices or a similar scale
Isolated Environments
Air-gapped cloud setups are a compliance requirement
Data Sovereignty
Full control over data location is non-negotiable
Governance Gaps
Existing infra lacks self-serve, accountable systems
Core Services That Power Sovereign Cloud Platform
A unified platform combining robust cloud infrastructure with enterprise-grade management and AI readiness.
Infrastructure Management
Run, scale, and secure critical workloads with a full suite of foundational cloud services:
Virtual Machine Management
Automate orchestration and lifecycle of compute instances
Storage Services
Scalable object and block storage with smart tiering
Network Management
Software-defined networking with built-in security controls
Kubernetes Integration
Native support for container orchestration and scaling
Database Services
Managed databases with automated maintenance and backups
Administrative Control
Stay in control with tools designed for enterprise governance and operational efficiency:
Role-Based Access Control
Fine-tuned permissions across teams and users
Usage Monitoring
Real-time visibility into resource consumption
Billing Integration
Automated billing aligned with usage patterns
Multi-Tenancy
Isolated environments for secure, segmented access
TIR AI Services
Accelerate AI workloads with GPU-powered infrastructure and smart automation:
GPU Resource Management
Efficient orchestration of GPU-enabled instances
Model Management
Version control and deployment workflows for ML models
Training Pipeline Integration
Streamlined automation for model training
Inference Scaling
Dynamic scaling for real-time model serving
