Licensing pressure
Proprietary infrastructure costs can limit long-term flexibility.
Open infrastructure. Sovereign intelligence.
Own your cloud.
Control your AI.
Run enterprise infrastructure, data, security, and private AI on an open platform designed for environments you control.
OpenOpenStack-powered foundation
SovereignCustomer-controlled deployment
IntelligentPrivate AI on the same foundation
OperatedConsulting through managed operations
Enterprise reality
Infrastructure modernization should not reduce your control.
Intrisus starts from the operating, economic, and governance pressures enterprise teams need to resolve.
Cloud cost uncertainty
Workload economics become difficult to govern across fragmented environments.
Data control
Regulated and sensitive workloads require deliberate ownership and location decisions.
AI governance
Enterprise AI needs infrastructure, data controls, and operational accountability.
The platform
One foundation. From infrastructure to intelligence.
Adopt the capabilities that fit your current requirements, then extend the platform as the operating model matures.
Workload environmentEnterprise workloads
AI environmentPrivate AI
Unified operationsIntrisus Control Layer
GovernanceAutomationObservability
Virtual machines, bare metal, HCI, and GPU-ready infrastructure.
Software-defined block, file, and object storage architectures.
Policy-driven connectivity, segmentation, and hybrid integration.
Independent monitoring and compliance-aligned security controls.
Managed data services designed around application and AI workloads.
Private AI infrastructure for training, inference, and governed data use.
Infrastructure foundationOpenStack-powered foundation
Customer infrastructurePrivate cloudEdge
Intrisus Core
A practical route beyond legacy virtualization.
Intrisus Core is designed to support virtual machines, bare metal, HCI, and GPU-ready infrastructure on an OpenStack and KVM foundation.
Virtual machines
Lifecycle management for enterprise workloads.
Bare metal
Dedicated resources for performance-sensitive workloads.
HCI
Converged infrastructure models based on deployment needs.
Performance
Tuning options can include CPU pinning, huge pages, and NUMA awareness.
Intrisus Synapse
Build private AI around your data and governance requirements.
A sovereign AI platform direction for GPU infrastructure, training, private inference, RAG, and MLOps inside customer-controlled environments.
Lifecycle services
Designed, deployed, and operated with one accountable team.
Consulting
Workload discovery, target architecture, sizing, migration planning, and business case.
Deployment
Installation, configuration, integration, validation, and controlled go-live.
Managed Operations
Monitoring, patching, upgrades, tuning, and incident response based on agreed scope.
Next step
Build a practical path to sovereign cloud and private AI.
Start with your workloads, operating model, and control requirements.