The right tool for each of your cluster’s area of optimization

Discover by clicking on each product!

Get the most out of your HPC resources

One single, dedicated platform

to analyze all your HPC clusters’ KPIs

Quickly diagnose and understand issues

using advanced data cross-checks and zoom-ins

Easily identify areas of optimization

for your clusters and resources

Spot wasted resources due to failed jobs

Determine jobs typologies and their consumption

Spot abnormal behaviors among users

Advanced cross-checks for in-depth workload analysis

Analyze QoS and job submission patterns

Understand overall resource allocation

Optimize your clusters’ energy consumption

Decrease energy costs and environmental impact

thanks to HPC-dedicated energy tools

Contain your carbon footprint

to comply with regulatory and corporate emission policies
Enhance OKA Core with precise and manipulable energy metrics
Get a detailed view into the consumption and temperatures of individual racks and nodes
Measure the carbon footprint of your HPC resources

Get a hold onto your HPC clusters’ costs

Optimize operational costs of your HPC resources

thanks to specialized financial tools

Tackle even the finest cost contributors

thanks to multidimensional in-depth views
Enhance OKA Core with precise and manipulable cost metrics

Shape the future of your HPC infrastructure

Assess and predict the load of your clusters

to better prepare for their future

Identify good candidates for Cloud migration

among your HPC workloads

Project the cost and size

of your future hybrid HPC resources with our shaper tools
Assess the congestion state of your clusters to anticipate hardware needs
Predict the evolution of your clusters’ load in the future
Estimate the budgets involved in moving certain workloads to the Cloud

Optimize usage of your HPC resources in real-time with workload predictors

Increase resources productivity

with real-time job submission optimization

Leverage machine learning power

trained on your own cluster usage, and constantly improving

Limit waste of resources

by running jobs on their optimal topology
Workload identification & data ingestion
Predictors training and building (+continuous improvement)
Prediction and optimization in production