Optimize GPU-powered AI workloads on Amazon EC2 with IBM Turbonomic
IBM and Red Hat Blog
This article explains how IBM Turbonomic optimizes GPU-powered AI workloads on Amazon EC2 by analyzing resource demand and automating right-sizing recommendations.
- Turbonomic collects GPU, memory, and CPU telemetry from Amazon CloudWatch for analysis
- Recommends or automates EC2 instance resizing based on real-time demand patterns
- Discovers GPU-backed instances and generates optimization actions through EC2 APIs
- Provides 24-hour utilization trends and cost impact estimates for resize decisions
- Supports manual review before automation to align with change control policies
- Integrates with IBM Instana for correlated application performance visibility
Turbonomic helps organizations maintain GPU performance during peak demand while reducing costs during low-utilization periods through continuous demand-driven optimization.
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