GIGABYTE POD Manager: Streamlined Control for High-Performance Data Centers

Simplify POD management with GIGABYTE POD Manager - an intuitive platform for AI and HPC, offering real-time monitoring, workload orchestration, and automation.
In the field of high-performance computing and AI applications, the concept of a Performance Optimized Datacenter (POD) has emerged as one of the most competitive solutions. It combines powerful compute systems with high scalability and cost efficiency. GIGABYTE’s POD solution, GIGAPOD, is more than just a scalable hardware design - it integrates infrastructure hardware, platform software, and end-to-end architecting services, covering everything from concept consulting to system validation.

At the core of managing and controlling system status and workflow is GIGABYTE POD Manager (GPM), a powerful software suite designed to enhance operational efficiency, streamline management, and optimize resource utilization. This software-centric approach ensures organizations can effectively manage their data center environments while adapting to modern workload demands.

Key Capabilities

Datacenter Infrastructure Management

Datacenter Infrastructure Management

GPM includes GIGABYTE Server Management (GSM), a standard software suite bundled with all GIGABYTE servers for cluster-wide remote management. It provides centralized inventory tracking of servers, network switches, and storage devices, offering real-time visualization of resource health and utilization. This enables IT teams to maintain optimal performance and quickly identify and address issues.

Operating System Provisioning

Operating System Provisioning

GPM simplifies infrastructure setup by automating the discovery of new devices within the network and streamlining the onboarding process. It offers:

  • Predefined and customizable OS installation templates for quick deployment.
  • Batch deployment capabilities, enabling simultaneous OS installation across multiple devices.
Orchestration and Workload Deployment

Orchestration and Workload Deployment

GPM supports the deployment and management of clustered applications such as Kubernetes and Hadoop, providing:

  • Customizable workload management to allocate resources efficiently.
  • Scalability to adapt to AI and HPC workload requirements.
Real-Time Monitoring and Alerting

Real-Time Monitoring and Alerting

GPM features customizable monitoring dashboards that provide insights into system performance, from physical devices to applications. It supports:

  • Configurable alert thresholds and notifications via email, webhooks, or integrated chat systems.
  • Event management capabilities for logging, categorizing, and resolving issues efficiently.
  • Proactive issue resolution, ensuring high service availability and minimizing operational disruptions.
Operating System Provisioning

Customizable Ecosystem

GPM offers flexibility in cluster and workload management by supporting:

  • GIGABYTE’s self-developed cluster management platform, compatible with NVIDIA Base Command™ for cluster operations.
  • NVIDIA AI Enterprise and other MLOps platforms, enabling users to manage resources in a way that best fits their operational needs.

[Learn more about GIGABYTE MLOps solution]

Intuitive UI and Management Tools

GPM provides a comprehensive, user-friendly interface that allows administrators to easily manage and monitor POD resources. The intuitive dashboard and visual management tools streamline operations, offering:

Dashboard
Dashboard

A centralized view of POD devices, power consumption, server allocation, critical events, and activities.

Physical Assets
Physical Assets
  • Server Summary: Detailed information from BMC and OS.
  • Cluster Management: Organize and manage servers by cluster or model.
  • Group Firmware Upgrade: Batch upgrade servers based on model and cluster.
POD Physical View
POD Physical View

A visual representation of rack layouts, device health, power status, BMC IPs, temperature, and server placement.

Node Provisioning
Node Provisioning
  • Automated discovery of new devices within the network for quick onboarding.
  • Predefined and customizable templates for OS installation and configuration.
  • Batch deployment capabilities to install OS across multiple devices simultaneously.
POD Physical View
Workload Management

Server cluster orchestration for AI and HPC workloads.

POD Physical View
Monitoring and Management
  • Real-time insights into device health, power consumption, and temperature.
  • Overview of POD network devices, including health status and connectivity.
  • Logs and manages events triggered by servers or third-party systems.
This intuitive UI design, combined with real-time monitoring and automation, ensures a seamless management experience, reducing complexity while maximizing efficiency.

Products Optimized for POD