Platform
- Unified Platform
  - Breadth & Depth by DesignObserve every layer, from application to infrastructure.
  - Natural Language InterfaceAsk questions and get evidence-backed answers.
  - Unified System ViewView dependencies, impact, and health in one place.
  - Correlation EngineIdentify the exact constraint driving issues.
  - Autonomous AI AgentsAgents that detect, reason, and act across the system.
  - AI Event IntelligenceTurn signals into prioritized, actionable insights.
  - MCP ServerCoordinate and operate AI workloads as a system.
  - Heterogeneous SupportExtend existing observability investments without rip-and-replace.
- AI Factory Observability
  - Full-Stack VisibilityApplication-to-infrastructure mapping
  - Token Economics & ForecastingMaximize and optimize token spend
  - GPU Performance & Cost OptimizationOptimize utilization to reduce infrastructure spend
  - Training & Inference PerformanceIncrease throughput and minimize training run failures
  - Power & Sustainability IntelligenceSupport sustainable AI operations  at scale
  - AI Security & GuardrailsEnsure save, compliant AI operations
  - Network & Data Flow ObservabilityDeep and broad broad  network observability
- Application Observability
  - Business Transactions & TracesTrace end-to-end user journeys across services to find bottlenecks.
  - Synthetic and Availability ObservabilityProactively test user paths to ensure uptime and SLA compliance.
  - Kubernetes ObservabilityMap service performance to container resources and runtime dependencies.
  - System-Aware ObservabilityOptimize app performance with deep visibility from code to storage.
  - Log Analysis and CorrelationConnect logs to traces to pinpoint root cause failure chains.
- Infrastructure Observability
  - Availability & RCA Prove what failed, where, and why it failed.
  - Autonomous OperationsInvestigate incidents with AI agents and governed automation.
  - Performance RemediationFind bottlenecks and limiting dependencies across the full stack.
  - Change RiskTest changes against live dependencies before rollout or migration.
  - Capacity ForecastingForecast constraints before they disrupt performance or delivery.
- Service Observability
  - Event IntelligenceCluster noise and prioritize incidents by service impact.
  - Service Dependency MappingMap dependencies and translate issues into service impact.
  - System-Aware Service OperationsAttach service context directly to incident workflows.
  - Remediation GovernanceTrigger safe automation based on service risk.
  - Anomaly DetectionCatch abnormal behavior before thresholds or outages do.
  - Full-Stack VisibilityTranslate technical issues into service and business impact.
- Want To Learn More?
  - Platform Overview
  - Explore Integrations
Solutions
- Why VirtanaWhen it comes to Mission Critical Workloads, there’s Virtana.
- Read More
Resources
Partners
- Partner Program
  - Partner ProgramPartner with Virtana to grow your business
  - Read More
- Technology Partners
  - Technology PartnersVirtana teams with industry-leading hardware and software companies to deliver best-in-class solutions
  - Read More
  - NetApp
  - Dell Technologies
  - AppDynamics
  - Nutanix
  - Servicenow
  - Cisco
  - AWS
  - Pure Storage
  - Infinidat
  - Hitachi
- Partner Portal
  - Partner PortalThe Virtana Partner Portal has information on Virtana’s solutions — including sales guides, data sheets, brochures, presentations, training videos, case studies, whitepapers, incentives and more.
  - Partner Login
Company
- About Us
- Leadership
- Newsroom
- Careers
- Support
- Contact Us
Login
Get a Demo

Solution Brief

Virtana AI Factory Observability Solution Brief

Understand the Complete AI Execution System, from GPU to Model Outcomes

AI performance depends on more than GPU utilization. Storage, networking, data movement, orchestration, model execution, power, and workload behavior can all become costly constraints.

Virtana AI Factory Observability connects these layers into a unified operational model, helping teams pinpoint bottlenecks, improve GPU utilization, optimize costs, and accelerate AI troubleshooting.

See how Virtana helps you:

Unify visibility across AI infrastructure and workloads
Find GPU, memory, network, storage, and scheduling constraints
Optimize GPU utilization and AI operating costs
Monitor model performance, token economics, and power
Accelerate troubleshooting with Agentic Root Cause Analysis

Download now

WordPress Cookie Notice by Real Cookie Banner