Recognized by Forrester as a leading cloud cost management solution
ML/AI model training tracking & profiling, inside/outside performance metrics
Granular ML/AI optimization recommendations
Runsets to identify the most efficient ML/AI model training results
OptScale profiles machine learning models and gives deep analysis of inside and outside metrics to identify training issues and bottlenecks. ML/AI model training is a complex process, which depends on a defined hyperparameter set, hardware or cloud resource usage. OptScale improves ML/AI profiling process by getting optimal performance and helps reach the best outcome of ML/AI experiments.
OptScale provides full transparency across the whole process of ML/AI model training and teams, captures ML/AI metrics and KPI tracking, which help identify complex issues appearing in ML/AI training jobs. To improve the performance OptScale users get tangible recommendations such as utilizing Reserved/Spot instances and Saving Plans, rightsizing and instance family migration, detecting of CPU/IO, IOPS inconsistencies that can be caused by data transformations, effective usage of cross-regional traffic, avoiding Spark executors idle state, running comparison based on the segment duration.
OptScale enables ML/AI engineers to run a bunch of training jobs based on pre-defined budget, different hyperparameters, hardware (leveraging Reserved/Spot instances) to reveal the best and most efficient outcome for your ML/AI model training.
OptScale supports Spark to make Spark ML/AI task profiling process more efficient and transparent. A set of OptScale recommendations, which are delivered to users after profiling machine learning models, includes avoiding Spark executors idle state.
A full description of OptScale as a FinOps and Test Environment Management platform to organize shared IT environment usage, optimize & forecast Kubernetes and cloud costs
This ebook covers the implementation of basic FinOps principles to shed light on alternative ways of conducting cloud cost optimization
Discover how OptScale helps companies quickly increase FinOps adoption by engaging engineers in FinOps enablement and cloud cost savings