Bring Clarity to Your AI Workloads
Stop flying blind with your high-value compute. Radiant Catalyst gives you the granular, job-level visibility you need to understand GPU utilization, pinpoint bottlenecks, and run your workloads with confidence.
What’s holding AI/ML teams back today?
Hard to right-size resources. Harder still to optimize scheduling against demand that
never sits still.
Opaque GPU Utilization
Hard to right-size resources. Harder still to optimize scheduling against demand thatnever sits still.
Hidden Performance Degradation
Slows down training pipelines and reduces token velocity during inference.
Resource Contention
Difficult to distribute resources securely, especially with shared GPU pools and multi-tenant clusters.
Transparent visibility for your infra teams
Real-Time Insights
Monitor GPU usage, memory consumption, and performance metrics continuously to optimize workloads and reduce 
operational costs.
Job-Level 
Visibility
Track utilization, memory patterns, and workload-specific metrics to maximize efficiency and minimize idle or 
stranded spend.
Full 
Traceability
Detailed event logs for every compute instance so you know exact usage patterns and stay compliant with industry standards
Strengthen your Cloud Governance with Radiant Catalyst
Faster Incident Response
Combine dashboard metrics with platform-level audit logs to detect anomalies and accelerate root-cause analysis.
Capacity & Cost Governance
Correlate workload patterns with GPU use to drive smarter quota allocation, budgeting, and capacity planning.
Performance Enforcement
Define and validate measurable baselines (e.g., target training durations or inferencelatency) to catch deviations early.
Multi-Tenant Predictability
Identify bottlenecks and understand team consumption patterns to support strongertenancy isolation.
Observability built into the AI cloud, not bolted on
Integrates Across your ML Ecosystem
From model registry to bare-metal metrics and compute workflows, monitor your ML infra stack.
Plug into your Observability Stack
Export metrics to existing observability stack, including Prometheus, Datadog, and more.
Enterprise-Grade by Design
Operational oversight across teams and mixed workloads.
