Full control over compute, identity, network, model execution, policies, and operations.
Private AI Cloud
Reclaim Control. Accelerate Innovation. Build AI on Your Terms.
Public cloud accelerated the first phase of enterprise AI. The next phase requires dedicated environments for workloads where data, intellectual property, latency, cost predictability, compliance, and resilience matter.
Platform
CoralDC Private AI Cloud visual
Own the infrastructure. Govern the intelligence.
FAQ
Direct answers for infrastructure buyers.
What is a Private AI Cloud?
It is a dedicated cloud-like AI environment deployed on infrastructure controlled exclusively by an organisation.
Does Private AI Cloud replace public cloud?
Not always. Many organisations use public cloud for flexibility and Private AI Cloud for critical, regulated, high-utilisation, or proprietary workloads.
Who benefits most?
Healthcare, government, finance, life sciences, universities, critical infrastructure, and enterprises building proprietary AI.
Is Coral Cloud a public cloud?
No. Coral Cloud orchestrates infrastructure the institution controls, on premises it designates. It provides the operational convenience of cloud provisioning without moving custody of data or models to a third party.
Orchestration
Coral Cloud: private AI cloud orchestration
Coral Cloud is the orchestration layer that lets an institution run AI workloads across its own Coral infrastructure as a coherent private cloud, with scheduling, tenancy, access control and reporting, while jurisdiction and custody remain with the institution rather than with a provider.
Workload scheduling and queueing across deployed capacity. Multi-tenancy and project isolation, which matters particularly for universities and health research environments serving many groups from shared infrastructure. Access control integrated with the institution's own identity systems. Utilisation and chargeback reporting.
Internal Links
Continue through the architecture.
Next Step
Explore Private AI Cloud
Every CoralDC engagement should connect executive intent, technical architecture, economics, and deployment reality before infrastructure decisions are made.