Resiliente Netzwerke für KI-Rechnezentren: Die Dimension des Betriebsrisikos, die Investoren übersehen

Viavi is a global provider of test and measurement, service assurance, AIOps, and network optimisation solutions

Workshop Host(s)

Jürgen Voß is responsible for strategic solution and business development for VIAVI AIOps across EMEA. He has more than 20 years of experience in telecommunications, network assurance and technical sales, supporting major service providers in complex network transformation and automation initiatives. His expertise covers AIOps, service assurance, network monitoring, fibre and access networks, digital twins and autonomous operations. Before joining VIAVI Solutions, Jürgen held senior solution engineering and consulting positions at key driving telecommunications technology companies.

Holger Eber ist Regional Sales Manager Systems & Automatisierung bei Viavi mit über 20 Jahren Erfahrung in Messtechnik und Service Assurance. Sein aktueller Fokus liegt auf datengetriebenen AIOps‑Ansätzen zur Optimierung und Automatisierung von Prozessen für einen stabilen und transparenten Betrieb von Netzwerk‑Infrastruktur und Services in Telekommunikationsnetzen und KI‑Rechenzentren.

Objective:

• What does “resilience” actually mean when a network sits between a fibre plant and an AI factory?
• Which resilience dimensions of AI-DC infrastructure are currently invisible to investor due-diligence?
• How does fibre / optical / Ethernet resilience translate — or fail to translate — into the AI-fabric layer (NVLink, InfiniBand, RoCE)?
• What should investors require operators to measure, monitor, and report — and what is thecost of getting it wrong?
• Where do existing AIOps and T&M capabilities (already proven in classical telecom resilience) already fit, and where does AI-DC resilience demand genuinely new telemetry?

Content of the Roundtable:

• The shifting definition of "network resilience" — from packet-loss tolerance to per-GPU-hour SLO compliance
• The resilience stack in an AI Data Centre — optical / fibre, Ethernet, NVLink / InfiniBand fabric, facility (power & cooling), application / inference
• Failure modes that classical resilience monitoring misses: optic BER drift, NIC retransmit creep, NCCL collective stalls, partial fabric degradation, rack-level thermal events
• What classical AIOps platforms already monitor today (multi-source ingestion · ML-driven RCA · next-best-action · digital twin · SLE-breach detection) — and what doesn't yet exist for the AI-fabric layer
• The 5K-GPU reference: what a "blind" cluster loses in a year, and how that flows through to investor cash flows
• Investor due-diligence in 2026: what belongs on the resilience checklist for AI-DC asset acquisitions
• Open discussion: what would change in your DD process if all of this were visible in real time?