Why watch

Stop guessing where AI dollars and delays go. Learn how Virtana connects token usage, GPU fleet health, Kubernetes, storage, and network into a single operating picture, so you can improve performance and prove ROI.

• See the full AI cost chain: Token usage/costs tied to errors and latency.
• Eliminate GPU waste: Power, thermals, and throttling surfaced with root-cause context.
• Troubleshoot hybrid faster: On-prem + cloud (FSx for ONTAP, ObjectScale, PowerProtect) with network truth from Meraki C2C.
• Operate Day-2 with confidence: GKE Autopilot support plus deeper K8s insights when diving into pods, logs, and traces.

What you’ll learn

• Turn tokens into business metrics: Track token costs, performance, and errors to quantify AI value.
• Right-size your GPU fleet: Identify hot spots, idle capacity, and throttling before they hit users—or budgets.
• Unify hybrid signals: Correlate K8s, storage, and network events across clouds and data centers in one place.
• Report what finance needs: Export and share the evidence (dashboards, CSV/PDF, inventory email exports) with your stakeholders.
• Speed root cause & MTTR: Move from high-level Kubernetes data to pod-level logs/traces with cross-launch into Container Observability.

Who should watch

Platform Engineering • SRE/Operations • Infrastructure & Cloud Leaders • FinOps/ITAM • App Owners running LLMs or data services

Featured capabilities we’ll demo

• Token Usage Dashboard: Connect LLM-as-a-Service tokens to performance, errors, and cost to evaluate ROI.
• GPU Fleet Analysis: Power, temperature, utilization, and cost across on-prem and cloud—plus AI-assisted root cause.
• Operational boosts: Service Observability alerts in Global View, granular meter cards, cloud dashboard enhancements, multi-tenant usage, and download/export upgrades.
• And more!