agentic-creator-os / oracle-ai-architect
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Comprehensive AI architecture expertise for Oracle Cloud Infrastructure - from Generative AI to Autonomous Database 26ai, NVIDIA NIM integration, and enterprise-grade agent development.
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Oracle AI Architect
Comprehensive AI architecture expertise for Oracle Cloud Infrastructure - from Generative AI to Autonomous Database 26ai, NVIDIA NIM integration, and enterprise-grade agent development.
When to Use This Skill
- Designing AI solutions on OCI
- Architecting multi-cloud AI with Oracle components
- Evaluating Oracle AI vs other cloud providers
- Building production AI agents on Oracle infrastructure
Oracle AI Stack Overview
┌─────────────────────────────────────────────────────────────────┐
│ APPLICATION LAYER │
│ AI Agents │ RAG Apps │ Chatbots │ Document Processing │
├─────────────────────────────────────────────────────────────────┤
│ DEVELOPMENT LAYER │
│ Oracle ADK │ Agent Hub │ AI Data Platform Workbench │
├─────────────────────────────────────────────────────────────────┤
│ MODEL LAYER │
│ OCI Generative AI │ NVIDIA NIM │ Private AI Containers│
│ - Cohere Command A │ - 100+ models │ - ONNX models │
│ - Llama 4 Maverick │ - Embeddings │ - Custom fine-tuned │
│ - Embed 4 │ - RAG │ │
├─────────────────────────────────────────────────────────────────┤
│ AI SERVICES LAYER │
│ Vision │ Language │ Speech │ Document Understanding │ Anomaly │
├─────────────────────────────────────────────────────────────────┤
│ DATA LAYER │
│ Autonomous AI Database 26ai │
│ - AI Vector Search │ Select AI Agents │ JSON Duality │
│ - NVIDIA NIM integration│ MCP Server support│ Graph analytics │
├─────────────────────────────────────────────────────────────────┤
│ INFRASTRUCTURE LAYER │
│ NVIDIA GPUs (H100/GB200) │ Zettascale Cluster │ FastConnect │
└─────────────────────────────────────────────────────────────────┘OCI Generative AI Service
Available Models (2026)
| Model | Parameters | Context | Best For |
| Cohere Command A | Latest | 256K tokens | Tool use, agents, RAG, multilingual |
| Llama 4 Maverick | 17B active/400B total | Large | Complex reasoning (MoE) |
| Llama 4 Scout | 17B active/109B total | Efficient | Cost-optimized inference |
| Llama 3.3 | 70B | Fine-tunable | Custom use cases |
| Cohere Embed 4 | - | - | Vector embeddings |
Fine-Tuning Options
| Model | Method | Use Case |
| Cohere Command | T-Few / Vanilla | Task-specific adaptation |
| Llama 3 | LoRA | Efficient large model tuning |
Production Features
- Content moderation controls
- Endpoint model swap (zero downtime)
- Endpoint deactivation/activation
- Agent Hub for agent management
- Sovereign/classified cloud deployment
Oracle Database 26ai AI Features
AI Vector Search
-- Create vector column
CREATE TABLE documents (
id NUMBER,
content CLOB,
embedding VECTOR(1536, FLOAT32)
);
-- Similarity search
SELECT id, content
FROM documents
ORDER BY VECTOR_DISTANCE(embedding, :query_vector, COSINE)
FETCH FIRST 10 ROWS ONLY;Select AI (Natural Language to SQL)
-- Enable Select AI
SELECT AI "Show me last quarter's top 10 customers by revenue";
-- Returns actual SQL result, not just the querySelect AI Agents (NEW in 26ai)
-- Define agent with tools
DBMS_CLOUD_AI.CREATE_AGENT(
agent_name => 'sales_assistant',
tools => JSON('[
{"type": "database", "tables": ["customers", "orders"]},
{"type": "rest", "endpoint": "https://api.crm.com/lookup"}
]'),
mcp_servers => JSON('["postgres-mcp", "salesforce-mcp"]')
);
-- Run agent
SELECT AI AGENT 'sales_assistant' 'Analyze Q4 performance and create summary';NVIDIA Integration
- NeMo Retriever API support
- NIM container integration for embeddings
- cuVS for GPU-accelerated vector operations
NVIDIA NIM on OCI
Deployment Options
- OCI Console Native (New 2026)
- 160+ AI tools available
- 100+ NIM microservices
- One-click deployment
- Bare Metal / VM
- Full control
- Strong isolation
- Custom configurations
- AI Blueprints (No-code)
- Pre-configured recipes
- Hardware recommendations
- Built-in observability
Available NIM Microservices
- LLM inference
- Embedding generation
- RAG pipelines
- Vision models
- Speech recognition
AI Data Platform (AIDP)
Medallion Architecture
┌─────────────────────────────────────────────────────────┐
│ BRONZE (Raw) │ SILVER (Cleaned) │ GOLD (Curated) │
│ Object Storage │ Data Engineering │ Autonomous DB │
│ - Raw data landing │ - ETL/Spark │ - Query-ready │
│ - Any format │ - Quality checks │ - AI-optimized │
└─────────────────────────────────────────────────────────┘AIDP Workbench
- Unified notebook environment
- Spark-based data processing
- ML model training
- Governed data catalogs
- Collaborative workflows
OCI AI Services (Pre-trained)
| Service | Capability | Use Case |
| Vision | Image/object detection | Manufacturing QA, asset tagging |
| Language | NLP (sentiment, NER, translation) | Customer feedback analysis |
| Speech | ASR + TTS (Whisper support) | Voice interfaces, transcription |
| Document Understanding | OCR, table extraction | Invoice processing, contracts |
| Anomaly Detection | Outlier identification | Fraud, predictive maintenance |
Oracle Agent Development
Oracle ADK
from oci_adk import Agent, FunctionTool
@FunctionTool(name="query_sales")
def query_sales(region: str, quarter: str):
return adb.execute(f"SELECT * FROM sales WHERE region='{region}'")
agent = Agent(
name="sales_analyst",
model="cohere.command-a",
tools=[query_sales]
)Agent Hub (OCI Generative AI)
- Centralized agent management
- Built-in governance
- Deployment orchestration
- Monitoring and logging
Oracle Agent Spec (Framework-agnostic)
version: "1.0"
agent:
name: EnterpriseBot
components:
classifier:
type: LLMNode
model: cohere.command-a
executor:
type: AgentNode
tools: [database_tool, api_tool]Multi-Cloud Strategy
Oracle's Unique Position
| Capability | Oracle Advantage |
| Database | 26ai is only DB with native AI Vector Search + Select AI Agents |
| Licensing | Bring Oracle licenses to any cloud (BYOL) |
| Sovereign AI | Classified cloud deployment (US Gov) |
| Cost | 20-40% cheaper than AWS/Azure |
| NVIDIA | Deep NIM integration, Zettascale cluster |
Multi-Cloud Deployment
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ AWS │ │ Azure │ │ OCI │
│ (Apps) │ │ (M365) │ │ (Data+AI) │
└──────┬───────┘ └──────┬───────┘ └──────┬───────┘
│ │ │
└───────────────────┴────────────────────┘
│
┌─────────▼─────────┐
│ Oracle Database │
│ (Any Cloud) │
│ - ADB Dedicated │
│ - Exadata C@C │
│ - DB@Azure/AWS │
└───────────────────┘Architecture Decision Framework
When to Use Oracle AI
Best Fit:
- Existing Oracle Database investment
- Need Select AI / AI Vector Search in database
- Want integrated agent development with ADK
- Sovereign/classified workloads
- Cost-sensitive with predictable usage
Consider Alternatives:
- Need OpenAI GPT-4o specifically → Azure OpenAI
- Deep AWS ecosystem already → Bedrock
- Google-native org → Vertex AI
Recommended Stack for Enterprise AI
┌─────────────────────────────────────────────────┐
│ RECOMMENDED ORACLE AI STACK │
├─────────────────────────────────────────────────┤
│ Agents: Oracle ADK + Agent Hub │
│ Models: Cohere Command A / Llama 4 │
│ Database: Autonomous AI Database 26ai │
│ Vectors: AI Vector Search (native) │
│ NL-to-SQL: Select AI Agents │
│ Inference: NVIDIA NIM on OCI │
│ Processing: AI Data Platform Workbench │
│ Governance: OCI IAM + Data Safe │
└─────────────────────────────────────────────────┘💰 OCI AI VERIFIED PRICING (January 2026)
IMPORTANT: Pricing verified against official Oracle sources. Always confirm at oracle.com/cloud/price-list.
Always Free AI Resources
| Resource | Free Allocation | Notes |
| Autonomous Database | 2 instances (20GB each) | Includes AI Vector Search |
| Ampere A1 Compute | 3,000 OCPU-hrs/mo | For NIM or custom inference |
| Network Load Balancer | 1 NLB | FREE, no data charges |
| Data Egress | 10 TB/month | Per region |
OCI Generative AI Pricing
| Model | Input Tokens | Output Tokens | Best For |
| Cohere Command A | ~$0.0015/1K | ~$0.002/1K | Agents, RAG, tools |
| Cohere Command Light | ~$0.0003/1K | ~$0.0006/1K | Simple tasks |
| Llama 4 Maverick | ~$0.001/1K | ~$0.002/1K | Complex reasoning |
| Llama 4 Scout | ~$0.0005/1K | ~$0.001/1K | Cost-optimized |
| Cohere Embed 4 | ~$0.0001/1K | N/A | Embeddings |
Monthly Estimate (moderate usage ~1M tokens): ~$2-5/mo
Autonomous Database 26ai Pricing
| Configuration | Price | Notes |
| Always Free | $0 | 2 instances, 20GB, AI Vector Search included |
| Paid (ECPU) | $0.336/ECPU-hr | License included |
| Paid (BYOL) | $0.0807/ECPU-hr | 76% savings |
| Minimum Paid | ~$238/mo | 2 ECPU continuous |
| Elastic Pools | Up to 87% compute savings | Multi-DB consolidation |
AI Vector Search: Included FREE in all Autonomous Database tiers
NVIDIA NIM on OCI Pricing
| Deployment | Cost | Notes |
| AI Blueprints (Console) | Compute only | No NIM license fee |
| VM.GPU.A10.1 | ~$2.50/hr | Single A10 GPU |
| VM.GPU.A10.2 | ~$5.00/hr | 2x A10 GPUs |
| BM.GPU.H100.8 | ~$30/hr | 8x H100 GPUs |
| Reserved H100 (1yr) | ~$18/hr | 40% savings |
Container Instance with GPU: Same compute pricing, uses free tier pool for CPU
Compute for AI Workloads
| Shape | Price | Use Case |
| VM.Standard.A1.Flex | $0.0165/OCPU-hr | Agents, API servers |
| Container Instance | $0.0165/OCPU-hr | Serverless inference |
| BM.GPU.H100.8 | ~$30/hr | Large model training |
| BM.GPU4.8 (A100) | ~$15/hr | Inference, fine-tuning |
First 3,000 OCPU-hours FREE (Ampere A1)
Storage for AI
| Service | Price/GB/Month | Use Case |
| Object Storage | $0.0255 | Model weights, datasets |
| Archive | $0.0026 | Training data retention |
| Block Volume | $0.0255 | High-IOPS model storage |
AI Architecture Cost Examples
RAG Chatbot (Small):
| Component | Monthly Cost |
| Autonomous DB (Vector Search) | $0 (Always Free) |
| Container Instance (API) | $0-18 |
| Cohere Command A (~500K tokens) | ~$1-2 |
| Object Storage (10GB docs) | $0.26 |
| TOTAL | $0-20/mo |
Production AI Agent System:
| Component | Monthly Cost |
| Autonomous DB 26ai (4 ECPU) | ~$500 |
| OKE (3 nodes, A1) | ~$100 |
| GenAI API (5M tokens) | ~$10-15 |
| Object Storage (100GB) | ~$2.55 |
| Load Balancer | ~$20 |
| TOTAL | ~$630/mo |
Enterprise NVIDIA NIM Deployment:
| Component | Monthly Cost |
| BM.GPU.H100.8 (reserved) | ~$13,000 |
| Autonomous DB (production) | ~$1,500 |
| Object Storage (1TB) | ~$26 |
| FastConnect (10 Gbps) | ~$2,200 |
| TOTAL | ~$16,700/mo |
Cost Comparison: OCI vs AWS Bedrock
| Scenario | OCI | AWS | Savings |
| 1M tokens (Cohere/Claude) | ~$2 | ~$8-15 | 75-85% |
| Vector DB (500K vectors) | $0 (ADB Free) | $70+ (Pinecone) | 100% |
| 50TB Egress | ~$340 | ~$4,500 | 92% |
| GPU Instance (H100/mo) | ~$13,000 | ~$25,000 | 48% |
OCI AI Accelerator Packs (NEW)
Pre-configured AI solution bundles for quick deployment:
- RAG Pack: GenAI + Vector Search + Object Storage
- Agent Pack: ADK + Agent Hub + ADB
- Vision Pack: AI Vision + Object Storage + Functions
Pricing varies by pack - check OCI Console for current bundles
Pricing Verification Resources
- OCI Price List: https://www.oracle.com/cloud/price-list/
- Cost Estimator: https://www.oracle.com/cloud/costestimator.html
- Always Free: https://docs.oracle.com/en-us/iaas/Content/FreeTier/freetier_topic-Always_Free_Resources.htm
- GenAI Pricing: https://www.oracle.com/artificial-intelligence/generative-ai/pricing/
Last Verified: January 2026 Source: Oracle official documentation and price lists
Related Skills
oci-services-expert- General OCI architecture (includes full pricing reference)oracle-adk- Agent development detailsoracle-agent-spec- Framework-agnostic agentsoracle-database-expert- Database optimization
Resources
Architect enterprise AI solutions leveraging Oracle's unique database-centric approach and multi-cloud flexibility.
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