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INTUCSX - Administering Cisco UCS X-Series Solutions with Intersight

INTUCSX: Cisco UCS X & Intersight course goes deep into deployment, ops, migration, optimization, & integrated solutions

Cisco UCS X-Series represents the latest generation of converged computing solutions optimized for hybrid and cloud-native workloads—critical for modern enterprises focusing on agility, workload portability, automation, and resource optimization. By attending this intensive 5-day course, participants will acquire comprehensive knowledge and practical skills required to successfully deploy, configure, optimize, operate, and troubleshoot Cisco UCS X-Series platforms integrated through Cisco Intersight.

This course is crucial for Infrastructure teams, Data Center professionals, Systems Engineers, Solutions Architects, AI/ML Infrastructure Designers, and technical leads responsible for implementing and managing hybrid datacentre/computing environments leveraging Cisco UCS-X technology, Intersight management, container platforms (Red Hat OpenShift), and GPU-enhanced AI infrastructure.

This course is worth 40 CE credits towards recertification.

GK# 821639 Vendor# INTUCSX
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Who Should Attend?

The primary audience for this course is as follows:

  • Data Center Systems Engineers and Administrators
  • Infrastructure Automation Engineers
  • Cloud Architects and Solutions Architects
  • Technical personnel involved in AI architecture and workload planning
  • IT support technicians, consultants, and Cisco partners implementing UCS-X technology

What You'll Learn

Upon completion, participants will be able to:

  • Articulate the solution-level architecture, differentiators, and capabilities of Cisco UCS XSeries platforms integrated with Cisco Intersight.
  • Identify and configure UCS-X hardware components, including chassis, compute nodes, GPU components, and fabric interconnects.
  • Deploy and configure Cisco UCS X-Series systems using Cisco Intersight Managed Mode (IMM), including migration and monitoring processes.
  • Describe advanced power/cooling management techniques and configure relevant thermal and power policies.
  • Understand integration principles and perform deployments of Red Hat OpenShift on Cisco UCS-X platforms via Intersight.
  • Plan and implement GPU-enabled AI infrastructures, ensuring correct GPU quantity selection, deployment optimization, and configuration best practices.
  • Diagnose issues and perform structured troubleshooting of common hardware, software, and configuration errors through Intersight management and command-line tools

Course Outline

Day 1: Cisco UCS X-Series Solution Architecture & Key Components

Module 1: Cisco UCS X-Series and Intersight Solution Architecture

  • Cisco UCS-X 5th Generation overview and architecture details
  • Cisco Intersight SaaS and on-prem management overview
  • UCS-X chassis (X9508), compute nodes (X210c M6/M7, X410c M7)
  • Fabric Interconnects (6400, 6500 models—Gen 4, Gen 5)
  • Networking and storage infrastructure options

Module 2: Cisco Intersight Foundation

  • Introduction to Cisco Intersight (cloud and on-prem architecture, SaaS model) vs legacy UCSM
  • Intersight foundational elements: GUI navigation, inventories, profiles, policies, firmware baselines
  • Core features: IMM-mode principles, pools, policies, templates
  • Intersight Licensing

Module 3: Cisco UCS X-Series Management with Intersight Managed Mode (IMM)

  • Configuring Pools, Policies (Firmware, Server, Network, Storage)
  • Service profiles and templates management with Intersight
  • Intersight Infrastructure Services & troubleshooting overview

Day 2: Installation, Migration, and Advanced Operations

Module 4: UCS X-Series Installation Considerations

  • Detailed IMM deployment procedures, prerequisites, planning
  • Migration strategies from classic UCS Manager to IMM/Intersight
  • Cisco Intersight IMM Transition Tool deployment and operations

Module 5: Advanced Day-2 Operations in Intersight

  • Firmware lifecycle management & best practices
  • Advanced resource optimization: Server, storage, network
  • Monitoring, logging, alerts, and automated remediation

Module 6: UCS-X Power & Cooling Management

  • Airflow optimization, thermal policy management
  • Advanced power policies and future-proof cooling best practices

Module 7: Structured Troubleshooting Approach with Intersight and CLI

  • Troubleshooting fabric connectivity, IOM, vNIC/vHBA, and bandwidth issues
  • Firmware and configuration issues; logs and CLI analysis techniques
  • VLAN, VSAN, QoS, and CRC error troubleshooting

Day 3: Red Hat OpenShift Integration with Cisco UCS-X and Intersight

Module 8: Deployment Considerations for Managing Container Platforms with Red Hat OpenShift Clusters

  • UCS-X Hardware requirements for OpenShift deployment (compute, storage, network)
  • Designing robust network fabric and storage for container platforms
  • Provisioning OpenShift clusters through Cisco Intersight

Module 9: Operational Management of Red Hat OpenShift on UCS-X

  • Managing OpenShift lifecycle (upgrade, updates, node scaling) via Intersight
  • Cross-platform observability, integra6on, and resource optimization

Day 4: AI Infrastructure Design, GPU Deployment & Optimization

Module 10: AI/ML Infrastructure Planning & GPU Integration with Cisco UCS-X

  • GPU technology overview (Nvidia Ampere/Hopper architectures, CUDA cores, VRAM types)
  • Selecting the right GPUs: performance, required quantities per workload, supported UCS-X GPUs/adapters
  • Optimizing GPU-to-server ratios for typical AI model/training scenarios

Module 11: GPU Optimization and Best Practices

  • GPU virtualization and orchestration via VMware/Nutanix/OpenShift/Kubernetes
  • GPU tuning parameters for AI workloads (multi-instance GPU, vGPU modes)
  • Troubleshooting GPU resource allocation and infrastructure bottlenecks

Day 5: Advanced Cisco Intersight Topics & API Automation

Module 12: Intersight API Integration and Automation Overview

  • Cisco Intersight REST API fundamentals, architecture, authentication and endpoint exploration
  • Automating Intersight operations via REST API, Ansible Modules, Terraform Providers
  • Developing customized automation scripts and workflows with Cisco-provided SDKs (Python, PowerShell)
  • Practical automation: typical workflows and SDK use-case demonstrations

Module 13: Advanced Cisco UCS-X and Intersight Topics

  • Automated workload optimization and resource recommendations
    • Partner Solution: IBM Turbonomic
  • Hybrid Kubernetes cluster orchestration and container workload management
    • Cisco Intersight Kubernetes Service (IKS)
  • Infrastructure automation via Infrastructure-as-Code methodologies
    • Cisco Intersight Service for Terraform (IST)
  • Workflow and orchestration automation
    • Intersight and ACI Application Profiles
    • Design and operaton of automated workflows
    • Cisco Intersight Cloud Orchestrator (ICO)
  • Advanced Forecasting and Optimization Tools in Cisco Intersight
    • Resource usage prediction, infrastructure health analytics and recommendations
  • Unified Observability with AppDynamics, ThousandEyes & Splunk
    • Real-time insights and predictive analytics for seamless digital performance
  • Other Third-Party Integrations
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Labs Outline
  • Lab 0: Connecting to Lab Environment
  • Lab 1: Exploring Cisco Intersight Interface and Setting Up IMM in Cisco Intersight
  • Lab 2: Initial UCS-X Hardware Setup, component inventory, and IMM discovery
  • Lab 3: Configuring UCS-X with Intersight IMM – Profiles, Policies & Templates
  • Lab 4: Migration and Validation using Cisco Intersight IMM Transition Tool
  • Lab 5: Firmware management, monitoring, and Day-2 operational tasks
  • Lab 6: Configure advanced thermal and power policies
  • Lab 7: Hands-on troubleshooting using CLI and Intersight GUI
  • Lab 8: OpenShift Deployment using Cisco-validated methodologies
  • Lab 9: OpenShift Operations through Intersight Automation
  • Lab 10: Validating GPU Performance, Monitoring GPU health and resource utilization in Intersight
  • Lab 10: Optimization for GPU-intensive workloads and troubleshooting GPU deployment
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Prerequisites

Participants should possess basic-to-intermediate knowledge of Cisco UCS platforms, data center technologies, server infrastructure, networking concepts, virtualization fundamentals, and basic container management proficiency.

Vendor Credits

This course can be purchased with Cisco Learning Credits (CLCs).

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