Virtana Extends AI Factory Observability to the Dell AI Factory

Why It Matters

The added observability bridges the gap between raw infrastructure metrics and actual AI outcomes, enabling enterprises to reduce waste, accelerate issue resolution, and protect multi‑billion‑dollar AI investments.

Key Takeaways

• Virtua adds native observability across Dell PowerEdge, PowerScale, ObjectScale.
• Platform correlates GPU utilization with storage I/O and network throughput.
• Detects system‑level bottlenecks like GPU contention and fabric congestion.
• Provides cost‑per‑token metrics linking AI workload economics to infrastructure use.
• Enables faster root‑cause analysis for 60% of enterprises lacking automated detection.

Pulse Analysis

The rapid adoption of generative AI and large‑scale model training has turned traditional data‑center monitoring into a multi‑dimensional challenge. Dell’s AI Factory—combining PowerEdge servers, PowerScale/ObjectScale storage, InfiniBand, Ethernet and NVLink fabrics, plus the Smart Fabric Manager orchestration layer—has become one of the most widely deployed enterprise AI stacks. While the hardware provides the raw horsepower, organizations increasingly struggle to translate utilization numbers into business‑critical outcomes. Without a unified view, performance bottlenecks remain hidden across GPUs, storage, and networking, inflating costs and delaying time‑to‑insight.

Virtua’s AI Factory Observability plugs that visibility gap by ingesting telemetry from every Dell component and stitching it into a single operational dashboard. The platform maps GPU compute cycles to model latency, flags idle or mis‑allocated GPU capacity, and ties storage I/O latency directly to training slowdown. Network intelligence surfaces east‑west congestion in InfiniBand or Ethernet fabrics, while iDRAC data adds power and thermal context. A standout feature is the cost‑per‑token analysis, which translates token usage into concrete infrastructure spend, giving finance and engineering teams a common language for optimization.

By delivering end‑to‑end insight, Virtua positions Dell AI Factory customers to accelerate AI initiatives while safeguarding ROI on expensive GPU investments. The integration also addresses a pain point highlighted in Virtua’s 2026 AI Factory Reality Check, where nearly six in ten enterprises lack automated root‑cause detection. As AI workloads become more agentic and distributed, vendors that combine deep observability with actionable recommendations will likely become preferred partners for Global 2000 firms. Expect broader adoption of similar full‑stack monitoring solutions as the industry moves toward hyper‑scale, cost‑efficient AI production.