Enterprise AI adoption continues to accelerate, but scaling AI from experimentation to production remains a significant challenge. According to McKinsey’s The State of AI in 2025 report, 88 percent of respondents said their organizations regularly use AI in at least one business function. However, nearly two-thirds have yet to begin scaling AI across the enterprise.
This highlights the growing need for an AI Development Platform that integrates application development, computing infrastructure, enterprise data, security, and deployment.
To move beyond experimentation, enterprises need a platform that supports production workloads without compromising data security, flexibility, or scalability. Oracle Cloud Infrastructure (OCI) provides an integrated AI development environment through OCI AI Blueprints, Meta Llama Stack, Oracle Kubernetes Engine (OKE), and Oracle Database 26ai. Together, these capabilities help enterprises develop Generative AI applications with flexible infrastructure, streamlined deployment, and access to enterprise data for more relevant business outcomes.
Why Do Enterprises Need a Secure and Integrated AI Development Platfrom?
AI development requires integration between computing infrastructure, AI models, enterprise data, security, and governance. Companies also need to safeguard data privacy through private tenancy, identity and access control, and structured access management.
Oracle Cloud Infrastructure (OCI) provides a cloud infrastructure capable of supporting the development and implementation of AI and generative AI in line with enterprise needs. These needs include the processing and management of workloads within the company’s tenancy, ensuring that control over data and infrastructure is maintained.
What Challenges of AI Model Training and Computing Power in the Cloud?
AI training and inference require high computing power, particularly GPUs, to run large-scale workloads. Resource constraints, deployment complexity, and model management often pose challenges when companies move projects from the POC phase to the production phase.
Oracle Cloud infrastructure helps provide more flexible computing capacity tailored to the needs of workloads and the evolution of AI applications.
Key Advantages of Oracle Cloud Infrastructure (OCI) as an AI Development Platform
Oracle Cloud Infrastructure (OCI) provides cloud infrastructure to support workload processing and management needs. OCI offers a range of capabilities to simplify the development and deployment of enterprise AI, thereby accelerating time-to-value, streamlining operations, and enhancing flexibility in AI development.
- OCI AI Blueprints: JSON-based deployment templates that simplify and accelerate AI workload implementation.
- Meta Llama Stack Integration: Supports flexible model integration through an open API, reducing dependency on a single model provider.
- Oracle Kubernetes Engine (OKE): Enables deployment and management of Kubernetes-based AI workloads.
- Oracle Database 26ai: Integrates enterprise data with AI Vector Search to support semantic search and RAG applications.
- Built-in Observability: Provides visibility into GPU metrics, token throughput, and distributed tracing.
- Flexible GPU Consumption: Supports dedicated GPU deployment through vLLM or pay-per-usage consumption through OCI Generative AI Services.
Building Enterprise Generative AI Applications with Full Data Control
Generative AI applications need access to relevant business data to generate responses that align with organizational requirements. Oracle Database 26ai provides AI Vector Search to manage embeddings and retrieve information based on semantic similarity. Through Retrieval-Augmented Generation (RAG), LLMs can use relevant enterprise data as contextual information without requiring private business data to become part of model training.
By integrating enterprise data, security, governance, and observability, organizations can develop more controlled AI applications that are ready for production environments.
Accelerate Your Enterprise AI Development with MBT
The successful implementation of enterprise AI requires the integration of AI models, computing infrastructure, enterprise data, security, development, and observability. Oracle Cloud Infrastructure helps companies explore and adopt AI development platform solutions that can accelerate business innovation.
Mega Buana Teknologi, part of the CTI Group, is an official Oracle partner that can help companies explore AI development platform options tailored to their specific workloads and business needs.
Consult with the MBT team about your business’s AI development platform needs to find the right OCI approach that will accelerate business innovation.
Author: Ervina Anggraini – CTI Group Content Writer
