k8 operator for AI-driven
performance optimization
Get up to 75% performance increase via automatic node pool manifest updates based on performance bottlenecks detection for computationally heavy workloads: ML, DL, and HPC
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Quick & Secure

Telegraf-based data collection agent (DCA) only collects
sees performance metrics


DCA reports stats to our backend
& Notify

RC SaaS engine detects any inefficiencies and bottlenecks on the IaaS level
You may

Once we collect enough data to classify the workload, we apply our suggestions to the node pool
SaaS dashboard to track the optimizer
Basic stats (GPU, CPU, Storage, IO, Memory, basic network stats) & Anomalies, Performance hypotheses
Instant notifications in a messenger to track what's happening
Instance type, storage type and params that may affect speed|cost