Private Cloud Platform|Aegis

Your AI infrastructure, fully under your control.

VM, bare metal, storage, and networking — unified under a single private cloud operating environment. The compute and infrastructure foundation that every platform in the Thaki stack runs on, available as a standalone Private IaaS deployment.

Why Aegis

Operate AI infrastructure while keeping full control.

Aegis delivers it — without the operational complexity of building it yourself. Aegis unifies VM management, bare-metal access, block and object storage, and full networking under a single self-service operating layer with enterprise-grade multi-tenancy and governance built in from the start. The same infrastructure foundation runs beneath Metis, Maxis, and Paxis. As your AI ambitions expand, your infrastructure scales with them — without re-architecting, re-platforming, or changing vendors.

Predictable

Total cost of ownership you can model from day one

1 node

Minimum deployment — Aegis scales from single-node to hyperscale on the same platform

100%

Infrastructure control — compute, storage, network, and security policy entirely within your perimeter

Deployment

Private cloud infrastructure, deployed where your data must stay.

Aegis is an on-premises private cloud platform. Deployment options are scoped to environments your organization controls directly.

On-Prem Private Cloud

Deploy Aegis inside your own data center as a full-featured private cloud — VM management, bare metal, storage, and networking under a single operating layer with self-service provisioning and multi-tenant governance.

Private CloudAir-Gapped

Hybrid

Connect your Aegis private cloud to AI Cloud resources for workloads that need additional capacity — keeping sensitive infrastructure and data on-premises while extending into managed cloud compute on demand.

Hybrid
Core Capabilities

Full-stack private cloud — compute, storage, networking, and governance in one.

Aegis Compute

VM and bare-metal resource management

Provision, manage, and scale virtual machines and bare-metal nodes from a single self-service interface. Auto-scaling, image management, and workload-aware resource allocation — without hypervisor overhead when bare-metal performance is required.

Aegis Storage

Unified block and object storage

Block and object storage resources managed from a single control layer. Create, attach, and manage storage volumes for AI workloads — training datasets, model artifacts, and operational data — with policy-based lifecycle management.

Cloud Builder

Infrastructure deployment and lifecycle management

Register physical servers, deploy cloud components, and manage infrastructure updates and upgrades through a unified Cloud Builder interface. Reduce infrastructure deployment from weeks to hours without manual configuration.

Multi-Tenant Governance

Organization-level resource isolation

Project-level resource quotas, role-based access control, and multi-tenant isolation ensure that teams, departments, and workloads operate within governed boundaries — without cross-tenant visibility or resource contention.

Networking

Virtual networks, SDN, and load balancing

Software-defined networking, virtual network configuration, and integrated load balancing — built for the connectivity demands of distributed AI workloads across compute nodes, storage clusters, and service endpoints.

Platform Composition

How Aegis fits into the stack.

Aegis is the compute and infrastructure foundation that every other platform in the On-Prem AI Cloud track runs on.

Private Cloud Platform

Aegis

The private cloud infrastructure foundation — VM, bare metal, storage, networking, and multi-tenant governance unified under a single self-service operating layer.

Signum

Unified Control Plane — spans every layer

  • IAM & access control
  • Centralized logging
  • Audit trail
  • Alerts & anomaly detection
  • Multi-channel notification
GPU / NPU Infrastructure
Use Cases

Built for enterprises that require complete infrastructure control.

Financial Services

Private IaaS for regulated AI infrastructure

Run the full AI infrastructure stack — compute, storage, and networking — within your own data center, meeting data residency, network isolation, and auditability requirements without hyperscaler dependency.

Public Sector

Government-grade private cloud for AI workloads

Deploy a complete private cloud environment within government-controlled facilities. Air-gapped operation, full RBAC governance, and immutable audit trails for every infrastructure operation.

Manufacturing

Consolidated private cloud across multiple facilities

Replace fragmented, site-specific infrastructure with a unified private cloud — scaling from a single factory node to multi-site hyperscale on the same Aegis platform without re-architecture.

Large Enterprise / Conglomerate

Enterprise-grade private cloud that grows with your AI ambitions

Start with infrastructure for one team, scale to an organization-wide private cloud serving every AI workload — with multi-tenant governance, self-service provisioning, and a single operating model throughout.

Ready to build the infrastructure
foundation your AI stack deserves?