UNLOCK OBSERVABILITY
AND SECURITY
FOR GPUS
See inside every GPU, every AI workload. At runtime, anywhere.
GPUs are a blind spot in
the Modern AI stack
Deep observability: Multilayer GPU and AI workload visibility spans from a single node and single-cluster to multiple nodes and multi-clusters.
AI APPLICATION
STEALTHIUM GUEST
Observability & Security
AI WORKLOADS (FABRIC)
STEALTHIUM HOST
Observability & Security
MULTI GPU INSTANCE
-MULTI CLUSTER
AI APPLICATION
STEALTHIUM GUEST
Observability & Security
AI WORKLOADS (FABRIC)
STEALTHIUM HOST
Observability & Security
MULTI GPU INSTANCE
-MULTI CLUSTER
From GPU Kernel Traces to Hyperprints.
Transform raw low-level GPU metrics and kernel traces into a high-level, unified, actionable abstraction. Instead of merely detecting that "raw metrics are dropping", Hyperprints deliver clear insights into what it means for your AI workload performance.
GPU OBSERVABILITY
HYPERPRINTS
Unify AI workload insights with cross-layer context correlation, end-to-end GPU metrics, traces, logs, and real-time health monitoring for comprehensive GPU performance analysis and full-stack visibility.
AI WORKLOAD
RUNTIME SECURITY
Actively monitor AI workloads and GPUs for unusual usage patterns using advanced GPU-specific telemetry, delivering robust runtime security for your AI operations.
Unparalleled AI Security
Safeguard your AI stack by preventing breaches across GPU workload instances. Correlate security events with GPU runtime telemetry to detect and mitigate potential threats, with full support for NVIDIA software stack drivers, toolkits, CUDA, and all major AI frameworks.
EXPLORE WHAT'S POSSIBLE WHEN YOU HAVE COMPLETE VISIBILITY INTO YOUR AI INFRASTRUCTURE.
Schedule a live demo to experience how our platform delivers real-time GPU runtime telemetry monitoring, uncovers threats undetectable by traditional cloud tools, and safeguards the integrity of your AI operations.