APPLICATION RESOURCE MANAGEMENT
Optimize Performance and Cloud Costs
Trusted automation assures performance across hybrid and multicloud environments with IBM Turbonomic.
OVERVIEW
Full-Stack Resource Optimization with Intelligent Automation
Part of IBM's automation portfolio, IBM Turbonomic delivers application-aware resource management that continuously optimizes compute, storage, and network resources in real time. Built for hybrid and multicloud complexity, it automates workload right-sizing and capacity decisions with the precision required for performance assurance.
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This solution provides a unified platform for managing resources across data centers, public clouds, and container environments. By analyzing application dependencies and resource flows continuously, organizations prevent performance degradation, reduce operational risk, and maximize infrastructure ROI while maintaining policy compliance.
Accelerate Operational Efficiency
Prevent Performance Degradation
Monitor CPU, memory, storage, and network utilization in real time to avoid performance bottlenecks.
Maximize Resource Efficiency
Automatically right-size workloads and eliminate overprovisioned capacity.
Reduce Operational Risk
Detect and resolve resource contention, misconfigurations, and policy violations.
Ensure Capacity Meets Demand
Use historical and live metrics to forecast resource requirements accurately.
Optimize Cloud Costs
Continuously right-size compute, storage, and network resources across
Scale AI Workloads
Automatically allocate GPU and compute resources for high-performance model training.
Improve Infrastructure ROI
Reclaim idle resources and enhance efficiency through intelligent automation.
Maintain Compliance
Enforce policies and ensure automated governance across all environments.
Accelerate Operational EfficiencyIT Operations Excellence
Reduce Time to Market:
Accelerate AI model development and deployment with streamlined workflows and pre-configured environments
Enhanced Security & Privacy:
Train and deploy models with enterprise data privately and securely within your controlled environments
Hybrid Cloud Flexibilit:
Deploy AI solutions consistently across on-premises, private cloud, and public cloud infrastructure
Optimized Performance Open Source Foundation:
Build on trusted open-source technologies with enterprise support and community innovation
Lower Operational Costs:
Optimize resource utilization with efficient custom models and automated scaling across hybrid environments
Complete Lifecycle Management:
Monitor and manage the entire AI model lifecycle from development through production deployment
Optimized Performance:
Leverage partner ecosystem focused on GPU and AI accelerator optimization for maximum efficiency
Scale with Confidence:
Grow from single-server deployments to large-scale distributed systems seamlessly as needs evolve
Resources
Turbonomic Delivers Real-World Results Across Industries
Organizations worldwide leverage Turbonomic to optimize resources, control costs, and assure performance. From reducing VMware licensing costs by 30% to executing 175,000 automated resourcing actions monthly, leading companies achieve measurable impact across hybrid and multicloud environments. Success stories include Hyland Software's 15% computing cost savings, IBM CIO's 3.8 TB memory optimization, and APIS IT's enhanced government service performance.
