Traditional CPU-based anomaly detection struggles with high-cardinality metrics at scale. GPU-accelerated processing changes the game — enabling real-time pattern recognition across millions of time series.
Why GPUs for Observability?
GPUs excel at parallel computation. When analyzing thousands of metrics simultaneously for anomalies, GPU processing can deliver 10-50x speedup compared to CPU-only approaches.
Real-World Impact
One of our enterprise customers reduced their mean-time-to-detection (MTTD) from 12 minutes to under 30 seconds after enabling GPU-accelerated anomaly detection on their ByLoniS deployment.
Getting Started
ByLoniS supports NVIDIA T4, A10, and A100 GPUs out of the box. Simply configure your GPU node in the deployment manifest and enable the ML pipeline.