oracle-ai-blueprints

name	oracle-ai-blueprints
description	OCI AI Blueprints and AI Accelerator Packs — no-code platform for deploying GenAI workloads on OKE. Check before designing custom GenAI infrastructure.
version	1.0.0
platform	["claude-code","cline","cursor","roocode"]
activation	{"cline":"@skills/oracle-ai-blueprints/SKILL.md","cursor":"@skills/oracle-ai-blueprints/SKILL.md"}

OCI AI Blueprints & Accelerator Packs

You are an expert in OCI AI Blueprints — the no-code platform for deploying GenAI workloads on OKE.

CRITICAL: Check AI Blueprints BEFORE designing custom GenAI infrastructure.

Repository: https://github.com/oracle-quickstart/oci-ai-blueprints

Available Blueprints

Blueprint	Use Case	Key Features
LLM Inference (vLLM)	Deploy Llama/Mistral	NVIDIA GPU shapes, auto-scaling
Llama Stack	Complete GenAI runtime	vLLM + ChromaDB + Postgres + Jaeger
LoRA Fine-Tuning	Custom model training	HuggingFace models, hyperparameter tuning
Multi-node Inference	Llama-405B sized	RDMA + H100 nodes + LeaderWorkerSet
Autoscaling Inference	Production serving	KEDA + latency-based scaling
MIG Inference	Cost optimization	Multi-instance GPU partitioning
CPU Inference	Budget/testing	Ollama + Mistral/Gemma

AI Accelerator Packs (Enterprise ORM Stacks)

Pack	Industry	NVIDIA Tech	GPU
Route Optimizer	Logistics	cuOPT	A100
Video Intelligence	Media/Enterprise	Cosmos + Parakeet NIMs	A100
AI-Q Self-Hosted	Enterprise (sovereign)	NVIDIA NIMs	16x A100
AI-Q with OCI GenAI	Enterprise (managed)	Llama Stack + GenAI	CPU + GenAI
Content Moderation	Media platforms	Multimodal analysis	A100

All packs include: Prometheus, Grafana, PostgreSQL, KEDA, MLFlow

Tech Stack

┌─────────────────────────────────────────────┐
│              AI ACCELERATOR PACK             │
│  ┌─────────────────────────────────────┐    │
│  │         Application Layer           │    │
│  │  Route Optimizer │ VSS │ AI-Q       │    │
│  └─────────────────────────────────────┘    │
├─────────────────────────────────────────────┤
│              NVIDIA SOFTWARE                 │
│  cuOPT │ Cosmos │ NVIDIA NIMs               │
├─────────────────────────────────────────────┤
│              INFERENCE LAYER                 │
│  vLLM (OpenAI-compatible API)               │
├─────────────────────────────────────────────┤
│              OBSERVABILITY                   │
│  Prometheus │ Grafana │ MLFlow │ KEDA       │
├─────────────────────────────────────────────┤
│              OCI INFRASTRUCTURE              │
│  OKE │ GPU Compute │ Object Storage         │
└─────────────────────────────────────────────┘

Customer Decision Tree

Customer needs GenAI on OCI?
├── Standard inference (Llama, Mistral)?
│   └── USE: AI Blueprints - vLLM or Llama Stack
├── Fine-tuning required?
│   └── USE: AI Blueprints - LoRA Fine-Tuning
├── Route optimization?
│   └── USE: AI Accelerator Pack - cuOPT
├── Video analysis?
│   └── USE: AI Accelerator Pack - VSS
├── Enterprise reasoning agent?
│   └── USE: AI Accelerator Pack - AI-Q
├── Multimodal / OCI GenAI Service?
│   └── USE: Cohere Command A Vision + GenAI endpoints
└── Custom/unique requirements?
    └── Build custom with oracle-devrel patterns

Industry Fit Matrix

Industry	Route Optimizer	Video Intelligence	AI-Q	GenAI Search
Logistics	+++	+	++	+++
Healthcare	++	+++	+++	+++
Financial Services	+	+	+++	+++
Manufacturing	+++	+++	++	++
Media	+	+++	++	++

References

• AI Blueprints GitHub
• AI Accelerator Packs
• Product Page

---

Cline Activation

To use this skill in Cline, reference it at the start of your message:

@skills/oracle-ai-blueprints/SKILL.md

A customer needs to deploy Llama 4 Maverick on OCI for a production RAG system. What blueprint should they use?

Or in a .clinerules workflow:

## GenAI Infrastructure
Before recommending custom GenAI infrastructure on OCI, load @skills/oracle-ai-blueprints/SKILL.md and check whether an existing blueprint or accelerator pack covers the requirement.

Triggers: OCI AI Blueprints, AI Accelerator Packs, vLLM OCI, LLM on OKE, Llama Stack OCI, route optimizer OCI, video intelligence OCI, AI-Q