See how customers across industries use Turbonomic to assure application performance, optimize resources and reduce costs
APIS IT cut VMware licensing costs by 30% while assuring performance.
BBC Studios implements automation to manage its IT environment with IBM Turbonomic®.
BlueIT ensures app performance and cuts carbon emissions with IBM Turbonomic.
Capita implemented AI-powered automation to resource workloads across hybrid cloud.
Denver bridges the gap between application owners and IT operations.
Evides reduced cloud costs by 43% in three months, even as its cloud footprint expanded by 8%.
Hyland Software reduced computing costs by 15% both AWS and its own data centers.
IBM BAM achieved 2x GPU throughput and improved utilization by 5.3x while reducing the number of GPUs required for high-performance workloads.
IBM TechZone got enabled to provision 16,000 live demo environments each month.
IBM Hursley implements automation in its journey to carbon neutrality with IBM Turbonomic.
IBM CIO Organization optimizes resource allocation with Turbonomic® automation.
J.B. Hunt ensures app performance in hybrid cloud with IBM Turbonomic.
Komatsu reduces cloud costs and helps assure application performance.
LPS improved efficiency with automated resource allocation across environments.
Metzler Bank assures application performance and preserves client SLAs with IBM Turbonomic.
Natura & Co improved efficiency and performance with AI-powered automation.
O.C. Tanner optimizes resources and focuses on innovation by using IBM Turbonomic.
Providence protects the health of its cloud and hybrid environment by using IBM Turbonomic.
Roma Capitale reduced CPU and RAM usage by 15% and improved control.
Samsung SDS America automates nondisruptive rightsizing actions, reducing manual effort.
WPP optimized resources and unlocked multimillion-dollar cloud savings.
Reduced physical server footprint by 20% in 18 months while boosting efficiency and sustainability through automated resource optimization.
Learn how IBM Turbonomic automation optimizes application response times as dynamic demand fluctuates.