---
title: "Automation-driven software that simplifies systems"
url: "https://www.qualcomm.com/data-center/solutions/ai-infrastructure-management-suite"
description: "Qualcomm Dragonfly AI MS delivers data center provisioning, monitoring, and SLA-driven workload orchestration across rack-scale deployments."
---

# Automation-driven software that simplifies systems

Qualcomm Dragonfly AI Infrastructure Management Suite

Qualcomm Dragonfly AI Infrastructure Management Suite (AI MS) provides provisioning, monitoring, orchestration and fault handling across rack‑scale deployments. Together, hardware, connectivity and software form the foundation of a cohesive data center platform approach — one designed to scale with customers as AI workloads evolve.

[Contact sales](https://www.qualcomm.com/support/contact/forms/data-center)

![](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Hero?fmt=webp-alpha&qlt=85)

## End-to-end control for AI data centers

- ![Illustration of a data center, showing some active server racks.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Pillars-Hardware-Provisioning?$QC_Responsive$&fmt=png-alpha)
  ### Hardware provisioning

- ![Illustration of UI dashboards for monitoring data centers.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Pillars-Monitoring-and-Management?$QC_Responsive$&fmt=png-alpha)
  ### Monitoring & management

- ![Illustration of data moving between server racks in a data center.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Pillars-Orchestration?$QC_Responsive$&fmt=png-alpha)
  ### SLA-driven AI workload orchestration

- ### Predictable SLA metrics
- ### Faster deployment
- ### Higher utilization
- ### Lower queue times
- ### Production-ready AI capacity

## Hardware provisioning

Qualcomm Dragonfly AI MS simplifies hardware provisioning with automated, API-driven workflows that support repeatable deployment of Qualcomm Dragonfly AI servers, racks, and pods at scale. With pre-validated configurations and streamlined bring-up processes, the suite helps customers reduce deployment complexity, accelerate time to readiness, and achieve more consistent infrastructure outcomes.

![Illustration of a data center, showing a person on a computer activating some of the server racks.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Hardware-Provisioning?$QC_Responsive$&fmt=png-alpha&wid=700)

### API-driven provisioning

Integrates with existing DevOps and data center automation ecosystems.

### Cluster-scale deployment

Automates deployment for Qualcomm Dragonfly servers, racks, and pods to enable repeatable large‑scale rollout.

### Pre-validated configurations

Support faster bring‑up, predictable deployment, and consistent cluster behavior.

## Monitoring & management

Qualcomm Dragonfly AI MS provides unified monitoring and management across Qualcomm Dragonfly AI infrastructure, giving operators real-time visibility into hardware health, accelerator behavior, and workload performance.

![Illustration of a data center, showing a person on a laptop monitoring the status of each server rack.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Monitoring-and-Management?$QC_Responsive$&fmt=png-alpha&wid=700)

### Unified observability

Provides visibility across all racks using standard interfaces such as Redfish, IPMI, and SNMP.

### Centralized operational intelligence

Brings together hardware, accelerator, and service‑level telemetry into actionable alerts.

### Open, modular integrations

Connects with enterprise data center infrastructure management (DCIM), automation pipelines, and ticketing systems through role‑based access.

## AI workload orchestration

Qualcomm Dragonfly AI MS delivers SLA-driven AI workload orchestration that helps enable AI services to meet performance, latency, and utilization targets across racks, clusters, and distributed environments. By coordinating multi-stage AI inference workflows and aligning them to the right infrastructure resources, the suite helps customers improve throughput, reduce queue times, and run AI infrastructure efficiently at scale.

![Illustration of a data center, showing a centralized system orchestrating data movement between server racks.](https://s7d1.scene7.com/is/image/dmqualcommprod/AIMS-Orchestration?$QC_Responsive$&fmt=png-alpha&wid=700)

### Intelligent workflow coordination

Enables disaggregated inferencing across clusters and multi‑component AI pipelines.

### Hardware-aware scheduling

Matches workloads to the right accelerator resources for better efficiency.

### Demand-driven scaling

Reduces idle resources and wait times across racks and clusters.

### Contact Sales

We have an extensive technology portfolio designed to enable products across industries. Our sales team is ready to provide you with tailored assistance.

[Contact us](https://www.qualcomm.com/support/contact/forms/data-center)

![](https://s7d1.scene7.com/is/image/dmqualcommprod/Contact-Pattern?fmt=webp-alpha&qlt=85)