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Enabling Agentic AI at Scale: IBM Storage Scale and CAS with NVIDIA AIQ Blueprint

An IBM Redbooks residency (ST-FR04-R01)

Description

This IBM Redbook provides a comprehensive technical enablement guide for building agentic AI solutions at scale using the NVIDIA AI Data Platform and AI-Q Blueprint, in conjunction with IBM Storage Scale and Content Aware Storage (CAS). Tailored for ODM partners, solution architects, and AI infrastructure specialists, the guide offers deep technical insights into deploying real-time, high-performance AI systems. It showcases IBM’s leadership in scalable storage solutions and provides practical implementation strategies to accelerate AI innovation in enterprise environments.

Benefits, objectives, prerequisites and more ...

Details

How Residencies work

Business Partners
Clients
IBMers

Starts 30 May 2025, ends 25 July 2025, and requires 10 residents

Residency Leader: Jamie Roszel

Location: Remote

  1. Begin Nomination

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    Benefits to Resident

    Earn a Redbooks Authors Badge: Get formal recognition for your contributions and boost your professional credibility.

    Showcase Your Eminence:

    Gain internal acknowledgment within IBM, potentially leading to career advancement opportunities.

    Publicly demonstrate your expertise, which is attractive to other companies and clients.

    Build Your Personal Brand:

    Establish yourself as a leader in your technology field, increasing visibility and opening new opportunities.

    Network with peers and reach wider audiences through Redbooks’ extensive distribution.

    Develop Key Skills: Enhance both your technical knowledge and communication abilities while staying current on industry trends.

    Objectives

    Objective 1: Demonstrate how to build scalable, real-time agentic AI solutions using the NVIDIA AI Data Platform and AI-Q Blueprint.

    Objective 2: Provide technical guidance on integrating IBM Storage Scale and Content Aware Storage (CAS) with NVIDIA AIQ to support high-performance AI workloads.

    Objective 3: Highlight IBM’s leadership in delivering scalable, high-throughput storage infrastructure optimized for AI and machine learning applications.

    Objective 4: Educate ODM partners, solution architects, and AI architects on best practices for deploying agentic AI systems in production environments.

    Resident Prerequistes

    A basic requirement for all residents is the ability to read and clearly express concepts and procedures in common English.

    Residents should have:

    A solid understanding of AI/ML workflows and infrastructure requirements.

    Experience with enterprise storage systems, particularly IBM Storage Scale.

    Familiarity with NVIDIA AI platforms and containerized AI workloads.

    Basic knowledge of Kubernetes, container orchestration, and data pipelines.

    Skills

    Skill
    Level 
    A solid understanding of AI/ML workflows and infrastructure requirements.3
    Experience with enterprise storage systems, particularly IBM Storage Scale.3
    Familiarity with NVIDIA AI platforms and containerized AI workloads.3
    NVIDIA GPU-accelerated systems for AI/ML workloads3
    Ability to collaborate effectively with subject matter experts4
    Basic knowledge of Kubernetes, container orchestration, and data pipelines.4

    Documentation Skills

    Skill
    Level 
    In collaboration with other subject matter experts, leverage your technical expertise for effective technical content creation. 2