GenAI DAC Specialist

Design, deploy, and operate OCI Generative AI Dedicated AI Clusters with Terraform.

2|1|Updated Sep 1, 2025
One-click install
npx skills add https://github.com/frankxai/ai-architect-academy --skill genai-dac-specialist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: GenAI DAC Specialist
Source: https://github.com/frankxai/ai-architect-academy/tree/main/claude-ai-architect/skills/genai-dac-specialist
Command: npx skills add https://github.com/frankxai/ai-architect-academy --skill genai-dac-specialist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams design, deploy, and operate Oracle Cloud Infrastructure Generative AI Dedicated AI Clusters (DACs) for private GPU hosting, scalable deployment, and production-grade workflows.

Core Features & Use Cases

  • DAC architecture guidance (Hosting vs Fine-Tuning)
  • Endpoint management and monitoring (up to 50 endpoints per cluster)
  • Security, compliance, and cost-optimization best practices for enterprise AI deployments

Quick Start

Initiate a DAC project by configuring Terraform templates to spin hosting or fine-tuning clusters, then deploy an initial endpoint and baseline monitoring setup.

Frequently Asked Questions about GenAI DAC Specialist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy OCI GenAI Dedicated AI Clusters using Terraform?

Deploy OCI GenAI Dedicated AI Clusters by configuring Terraform templates to provision private GPUs for hosting or fine-tuning LLM workloads, followed by establishing an initial endpoint and baseline monitoring.

What is the maximum number of endpoints I can manage per OCI GenAI DAC?

OCI GenAI Dedicated AI Clusters support scalable endpoint management up to 50 endpoints per cluster, ensuring production-grade monitoring and strict data isolation for enterprise LLM workloads.

When do I need a Dedicated AI Cluster for OCI Generative AI workloads?

You need a Dedicated AI Cluster when your enterprise architecture requires private GPUs, strict data isolation, and scalable endpoint management for hosting or fine-tuning large language models.

Can I optimize costs and configure security for OCI GenAI DACs?

Yes, you can apply security, compliance, and cost-optimization best practices specifically designed for enterprise AI deployments within controlled OCI GenAI Dedicated AI Cluster environments.

Does this approach support both LLM hosting and fine-tuning workflows?

Yes, OCI GenAI DAC architecture guidance covers both hosting and fine-tuning workflows, enabling production-grade operations with Terraform-based deployments and OCI monitoring configurations.

What are the limitations of OCI GenAI Dedicated AI Clusters?

Limitations include managing endpoint scalability capped at 50 per cluster and requiring Terraform-based deployments for strict data isolation and production-grade monitoring in controlled environments.