AI Factory Observability

AI Observability Platform

AI Factory Observability

Maximize Every Token.

Optimize Every GPU.

Solution Brief Get a Demo

Virtana redefines AI Factory Observability by treating the GPU cluster, data fabric, and model pipeline as a single, high-performance system.

When training jobs stall or inference latency spikes, teams stop guessing at hardware bottlenecks and start proving exactly where the constraint lives-from Infiniband congestion to fragmented GPU memory-before costs spiral and schedules slip.

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Full-Stack AI Observability

See The Full AI Factory

• Application-to-infrastructure mapping.

• GPU, memory, and workload utilization insights

• Cross-stack correlation for faster root-cause analysis.

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GPU Monitoring Software

GPU Performance & Cost Optimization

• Detect idle and wasted GPU capacity

• Identify throttling, contention, and misallocation.

• Optimize utilization to reduce infrastructure spend with deeper GPU visibility.

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GPU Infrastructure

Power & Sustainability Intelligence

• Monitor power consumption, thermals, and efficiency.

• Identify energy waste from idle resources

• Support sustainable AI operations at scale with system-aware AI oversight.

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AI Data Fabric

Network & Data Flow Observability

• Analyze NVLink and PCIe throughput.

• Detect network congestion and data bottlenecks.

• Understand how data movement impacts performance across the AI data fabric.

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LLM Cost Optimization

Token Economics & Forecasting

• Cloud: Follow dynamic services and dependencies across multi-cloud environments.

• On-premises: Deep visibility from bare metal through virtualization and platforms.

• Hybrid: Correlate signals across distributed infrastructure without visibility gaps using data fabric observability.

• Air-gapped: Built for secure, disconnected environments, including federal and mission-critical deployments.

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Model Performance Monitoring

Training & Inference Performance

• Measure GPU cycles, memory, and energy per job.

• Compare workload efficiency across environments for training models and inference pipelines.

• Detect performance regressions and instability.

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AI Agent Observability Platform

AI Security & Guardrails

• Monitor latency, interventions, and anomalies.

• Track invocation behavior and policy enforcement.

• Ensure safe, compliant AI operations.

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GPU Utilization Doesn't Tell You If Your AI Is Working

From Infrastructure Metrics to Full-Stack AI ROI Visibility

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