Pepperdata: Dynamic Kubernetes Resource Optimization

Pepperdata Dynamic Resource Optimization for workloads running on Kubernetes environments delivers up to 75% cost savings by automatically increasing utilization levels to reduce overprovisioning waste—automatically, continuously, and in real time—with no application code changes, recommendations, or manual tuning.

Pepperdata is extending its software to optimize AI/ML workloads running on GPU clusters in Kubernetes environments.

Deployed on over 30,000 clusters, Pepperdata Capacity Optimizer optimizes resources in some of the largest and most complex environments in the world, providing more pods per node in Kubernetes environments.

Since 2012 Pepperdata has helped companies ranging from startups and mid-sized ISVs to top enterprises such as Citibank, Autodesk, Magnite, Royal Bank of Canada, and members of the Fortune 10 save over $250 million. For more information, visit www.pepperdata.com.