The right tool for each of your clusters’ area of optimization
Discover by clicking on each product!
OKA Core consists of 3 toolsets: Performance, Energy, Financials.
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
OKA Core consists of 3 toolsets: Performance, Energy, Financials.
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
OKA Core consists of 3 toolsets: Performance, Energy, Financials.
OKA Cloud consists of 3 toolsets: Performance, Energy, Financials.
Understand usage and optimize costs of your Cloud HPC
Establish an insightful relationship between usage and spending
Identify resource waste and its sources
Understand and optimize the costs of elasticity management
OKA Cloud gathers all the OKA Core functionalities in a specific package for Cloud Clusters:
Optimize job configurations to improve cluster efficiency thanks to AI-trained custom Predictors.
The framework…
Simpler, more precise, more reliable, faster, and HPC-focused.
…to train/build Predictors…
Use-case, workload or app-specific.
…and improve HPC efficiency…
Reduce misconfigured jobs by 50-75% and reduce associated costs.
Diminish waiting times and get closer to optimal scheduling.
…by assisting users to properly submit jobs.
The job submission assistant to hit the optimum configuration for every job submit.
Workload identification & data ingestion
Predictors training and building (+continuous improvement)
Prediction and optimization in production
