cnvrg.io is now Intel® Tiber™ AI Studio

MLOps Dashboard

Improve visibility and increase GPU/CPU utilization by up to 80% with advanced resource management

Improve compute visibility across all ML runs

Give IT/DevOps full snapshot of GPU/CPU and Memory allocation and utilization data in one place
Monitor and compare real time allocation vs. utilization vs. capacity or resources
Track all active jobs and clusters with info about user, project, container, allocation & utilization
Create visibility into computational debt with utilization and allocation graphs

Increase GPU/CPU and memory utilization by up to 80%

Improve ROI of ML projects with advanced resource management
Build a more effective resource management structure with compute templates
Create custom compute templates for specific ML jobs
Compare allocation per job with utilization to identify computational debt

Identify workload bottlenecks and improve ROI of ML projects

Improve productivity with optimized compute allocation
Prioritize jobs to maximize productivity and GPU/CPU utilization
Analyze runs by job, user, and container for improved monitoring
Avoid wasting resources with the misallocation of resources

Forecast future GPU/CPU consumption needs

Analyze historical consumption metrics for improved forecasting and reporting
Connect and export consumption metrics with any external data analytics platforms
Set up chargeback for IT to control project and user budgets
Improve reporting of utilization, allocation and capacity for ML projects