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OpenShift Container Platform + AI

Build an Enterprise AI Platform on OpenShift Container Platform.

ComputingEra helps organizations design and deploy Red Hat OpenShift Container Platform as the foundation for AI applications, MLOps, RAG, model serving, data pipelines, APIs, and modern cloud-native workloads — powered by secure infrastructure, GPUs, storage, and automation.

Request AI Platform Assessment Explore Architecture
Data Enterprise data, documents, databases, object storage INGEST
Pipeline Processing, feature engineering, embedding generation BUILD
Model Training, fine-tuning, model registry, governance TRAIN
Inference Model serving, APIs, RAG, AI applications SERVE
OCP Kubernetes, operators, security, automation, scale RUN
OCP AI Foundation
GPU Accelerated Workloads
RAG Enterprise AI Apps

WHY OCP FOR AI

AI Needs More Than a Model — It
 Needs a Platform

Enterprise AI requires secure infrastructure, scalable compute, data pipelines, model lifecycle management, 
controlled access, monitoring, APIs, and integration with existing applications. OpenShift Container Platform
 provides the operating foundation for all of this.




Secure & Governed AI

Control access to models, data, APIs, secrets, namespaces, and workloads for regulated enterprise environments.



GPU & Performance Ready

Support accelerated workloads with GPU nodes, high-speed networking, NVMe storage, and optimized infrastructure.



Enterprise OCP Foundation

Use operators, automation, GitOps, CI/CD, security policies, and lifecycle operations to manage AI at scale.



AI Workload Platform

Run model serving, RAG applications, data pipelines, APIs, and AI services on one controlled Kubernetes platform.

PLATFORM  THINGKING 

From AI 
Experiments to AI 
Factory

Most AI initiatives fail to scale because they start as isolated experiments. With OpenShift Container Platform, ComputingEra helps customers create a repeatable AI factory where data, models, applications, APIs, security, and operations are standardized.

The goal is not only to run AI models.

The goal is to build a trusted platform where AI can be developed, deployed, governed, and scaled.

Architecture Stack

Production Database Architecture Components

A strong database platform requires more than installation. It needs infrastructure, resilience, security, monitoring, and operational control.

1. Workload Layer

Applications and data workloads that define capacity, latency, transaction rate, availability, and recovery requirements.

ERPCore AppsBankingHealthcareAnalyticsAI/RAG
Workload classification
Dependency mapping
2. Database Engine Layer

Enterprise and open-source database engines selected based on workload, licensing, scale, and operational requirements.

OracleMariaDBMySQLPostgreSQLExadata Ready
Platform selection
Configuration standards
3. HA / Clustering Layer

Availability design for production services that cannot tolerate long outages.

Oracle RACGaleraReplicationClusterwareFailover
Failover design
Service continuity
4. DR & Replication Layer

Disaster recovery and replication architecture aligned with RPO, RTO, distance, and business criticality.

Data GuardGoldenGateCDCAsync ReplicationDR Drill
RPO/RTO mapping
Recovery testing
5. Storage & Network Layer

Database performance depends heavily on storage latency, network design, IO paths, and redundancy.

NVMeASMMultipathRoCE100/200GbEAll-Flash
IO latency
Storage resilience
6. Backup & Cyber Recovery Layer

Databases must be recoverable from corruption, user error, ransomware, outages, and site failure.

RMANCommvaultImmutable BackupSnapshotsRestore Testing
Backup policy
Clean recovery
7. Security & Governance Layer

Controls database access, privileged accounts, encryption, auditing, and compliance alignment.

RBACEncryptionAuditSecretsComplianceData Masking
Access control
Audit visibility
8. Operations Layer

Monitoring, patching, performance reporting, capacity planning, and support keep the platform healthy.

MonitoringAWROEMPrometheusRunbooksPatching
Health monitoring
Lifecycle support


DEPLOYMENT PATTERNS 

OpenShift AI Deployment Options

ComputingEra helps customers choose the right AI platform model based on workload maturity, data sensitivity, GPU
 needs, and business priorities.

Start Smart

AI Readiness Assessment

Assess data sources, AI use cases, infrastructure, security, GPU requirements, storage performance, and business value before building the platform.


Foundation

OCP AI Landing Zone

Deploy OpenShift Container Platform with core operators, security, storage, GitOps, monitoring, and baseline AI services.

Private AI

Sovereign AI Platform

Run AI workloads locally for regulated data, RAG on enterprise documents, internal assistants, and sensitive business automation.


GPU Ready

Accelerated AI Cluster


Add GPU nodes, NVIDIA GPU Operator, high-speed networking, NVMe storage, and optimized scheduling for training and inference.

Enterprise MLOps

MLops Platform 

Standardize notebooks, pipelines, model registry, inference endpoints, approvals, monitoring, and lifecycle governance.


Application Modernization

AI + Apps Platform

Combine AI services with existing APIs, microservices, databases, OpenShift apps, and business workflows.


Use  Cases

Enterprise AI Use Cases on OCP

Cyber resilience must be aligned with the operational, regulatory, and 
recovery needs of every industry.

Banking

Banking AI

Fraud detection, customer intelligence, compliance automation, document search, RAG assistants, and risk analytics.

Healthcare AI

Healthcare AI

Clinical document intelligence, imaging workflows, patient service automation, and secure hospital data platforms.

Government AI

Government AI

Sovereign AI assistants, citizen service automation, secure knowledge search, and controlled data processing.

Telecom AI

Telecom AI

Network analytics, predictive maintenance, service automation, customer operations, and real-time data pipelines.


TECHNOLOGY ECOSYSTEM

Integrated with Your Enterprise AI
 Stack

We combine OpenShift Container Platform with AI, infrastructure, data, storage, networking, security, and backup
 technologies into a complete enterprise solution.


Red Hat OpenShift
OpenShift AI
NVIDIA GPU
Fujitsu Servers
NVMe Storage
Oracle / MariaDB
NVIDIA / Extreme Fabric
Commvault Resilience

 DELIVERED BY COMPUTINGERA

OCP + AI 
Implementation Services


ComputingEra provides end-to-end services for building enterprise AI platforms on OpenShift Container Platform — from assessment and architecture design to GPU integration, storage, networking, MLOps, security, and lifecycle operations.

 OCP architecture and sizing           
 GPU node design                  

 ODF / NVMe storage integration             

 MLOps enablement                 

AI readiness assessment                 

OpenShift installation     
 NVIDIA GPU Operator setup
Data pipeline design                                               
RAG architecture                                                                                      
Security and governance                                  
Monitoring and logging                         
 Backup and resilience                  

EXPLORE  AI PLATFORMS

AI Infrastructure and Platforms

ComputingEra helps organizations build AI-ready platforms using enterprise infrastructure, accelerated 
networking, cloud-native technologies, and scalable data platforms for machine learning, analytics, and 
generative AI workloads.

NVIDIA Networking                   AI Infrastructure and Platforms

NVIDIA Networking

High-performance networking platforms for AI clusters,GPU communication, RoCE, RDMA, and low-latency AI datacenter fabrics.

AI  Networking RoCE  /  RDMA GPU   Fabric Low  Latency




Explore NVIDIA Networking →

                            AI Platform Operations

Fujitsu Enterprise Servers

Enterprise compute infrastructure for AI-ready datacenters, analytics, model processing, databases, and scalable workloads.

AI Infrastructure Enterprise Compute High Performance Scalable Architecture



Explore OpenShift →

Red Hat OpenShift                            AI Platform Operations

Red Hat OpenShift

Cloud-native platform for AI applications,automation, MLOps, hybrid cloud, and scalable enterprise AI environments.

Kubernetes  Platfor  MLOps  Ready Hybrid  Cloud AI  Workloads



Explore OpenShift →

 FREE DATABASE ASSESSMENT

Build AI on a Platform You Can Trust

Let ComputingEra assess your AI use cases, data sources, infrastructure, GPUs, storage, network, security requirements, and readiness for OpenShift Container Platform with AI.

Request Assessment

 Which AI use cases should you start with?

 Do you need GPUs, NVMe, or high-speed fabric?

 How should RAG connect to enterprise data?

 How can AI stay secure, governed, and scalable?

DOCP + AI + SOVEREIGN INFRASTRUCTURE

Turn OpenShift into Your 
Enterprise AI Factory



With OpenShift Container Platform, OpenShift AI, Fujitsu infrastructure, NVIDIA acceleration, and 
ComputingEra implementation services, your organization can build a secure, scalable, and 
production-ready platform for AI applications and modern workloads.

Start Your OCP AI Journey