Qualcomm Dragonfly AI Infrastructure Management Suite
Automation-driven software that simplifies systems
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.
End-to-end control for AI data centers
Hardware provisioning
Monitoring & management
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.
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.
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.
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.
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