AI OBSERVABILITY
The Simplest Way to Monitor GPUs, Models, and AI Infrastructure Unified Monitoring for GPU-Powered AI Workloads Without the Complexity
Get unified visibility into your GPUs
Get a complete picture of GPU and AI workload performance from cluster to model level.
Ingest GPU metrics from DCGM or SMI exporters in minutes. No need to run your own servers.
Visualize GPU utilization and inference performance alongside infrastructure metrics to uncover inefficiencies.
Set alerts for GPU temperature thresholds, inference lag, or queue depth to prevent costly slowdowns.
Identify underused GPUs and right-size your infrastructure based on real utilization data.
Real-time visibility into utilization, latency, memory, and throughput without managing your own monitoring stack.
GPU utilization, memory usage, temperature, and power draw
Model queue latency and inference throughput
GPU errors, throttling, and ECC fault rates
Node-level CPU, disk, and network metrics for context
Pre-built dashboards make it easy to spot bottlenecks, optimize workloads, and prevent failures before they impact your models or GPU servers (e.g. NVIDIA Titan Series and NVIDIA RTX 30XX Series GPUs).
Because our system is your system.
14-day trial
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