Azalio · Data Center Operations Case Study
Private AI Cloud Foundation
Private AI Cloud / OpenShift AI
16 A100
GPUs
70%
Cost Savings
12 Deployed
Models
Context
An enterprise needed a sovereign, GPU-enabled private AI platform with full operational controls rather than dependence on public cloud AI services.
Challenge
Private AI cloud foundation using OpenShift 4.15, GPU workers, NVIDIA A100, OpenShift GPU operator, GitOps, object storage, ELK and Prometheus.
Azalio Role
AI platform foundation, GPU worker setup, GPU operator configuration, GitOps delivery model, observability, security hardening and cloud-to-private AI migration support.
Solution
Deployed OpenShift 4.15 with GPU operators, implemented GenAI pipelines, security hardening, MLOps automation, and comprehensive monitoring.
Execution Approach
OpenShift platform baseline first, GPU workers added and validated, GPU operator configured, GitOps delivery model implemented, observability and security hardening applied.
Client Outcome
Production AI platform with 70% cost savings vs cloud, sovereign AI execution, and scalable MLOps foundation.
AI-ready private cloud foundation for secure enterprise AI workloads with full operational visibility and governance.
Full Technical Stack
Engagement
Related Capability
Private AI Cloud & OpenShift AI