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Eye on A.I. · Wednesday, July 15, 2026

Virtana CEO Paul Appleby on the Complexities of AI Factory Observability

Paul Appleby, CEO of Virtana, explains that true observability for AI factories is challenging due to the complexity of the entire system, from data pipelines to orchestration and infrastructure. He highlights that many current solutions only offer partial telemetry, making it hard to pinpoint issues.

companyVirtana

The tape

4 quotes
Um, what we've done more recently, of course, is lean in heavily to, you know, a lot of generative capabilities, you know, to support automating a lot of these IT operations.
Paul Appleby
But the other thing that we've done is recognize that as companies scale out, you know, the the true industrialization of AI with massive AI data center investments that the market loves to call AI factories.
Paul Appleby
Um, is build full end-to-end observability for the AI factory.
Paul Appleby
And, you know, what, uh, you know, what exists for many companies today, you know, are, you know, bits of telemetry out of each level of the stack that they're trying to stitch together to identify, hey, what's really going on and how do we actually better manage this environment.
Paul Appleby
Heard on Eye on A.I. — “6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana, published Wednesday, July 15, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.05
Virtana CEO Paul Appleby on the Complexities of AI Factory Observability — Heardvine