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Aviz Networks webinar outlines shift-left simulation for AI factories

Source Decision Insights Coverage Published April 14, 2026 Companies 2
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2 companies named across 7 categories, one of 473 articles referencing Aviz Networks. Previous coverage: Virtru, RINA Wireless, Aviz, and CISA updates across cloud, telecom, and network security - Week of April 13, 2026 (Apr 2026).

Companies mentioned

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Seniority
EVP / SVP / VP / AVP
Job function
Chief Technology Officer
Persona
Platform / Infrastructure Operations Leader
Buyer role
Decision Maker / Budget Holder
Decision stage
Which to buy
Adoption curve
Early Majority
Technology maturity
Market Correction
Industry
Information Technology / Software & Services / IT Services / Cloud Services

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A vendor webinar from Aviz Networks describes a move away from hardware-first Artificial Intelligence (AI) factory rollouts toward simulation-first validation, citing faster deployment cycles and earlier testing of configurations, integrations, and security controls.

Research Overview

The discussion was moderated by Ilona Gabinsky and featured David Iles of NVIDIA and Vishal Shukla, focused on how AI infrastructure is evolving as adoption increases.

The session framed the central question as how enterprises can deploy AI infrastructure faster and more reliably while systems become more complex.

Key Findings

The post says AI infrastructure is shifting from hardware-first deployment to simulation-first design, with teams able to validate setups before hardware is available.

It also characterizes a shift-left approach as a strategy that moves testing earlier in the lifecycle to reduce time to production.

Technical Breakdown

The webinar states that simulation can validate connectivity, configuration, security policies, upgrade workflows, and failure scenarios prior to hardware arrival.

It notes that the exception is raw performance and that hardware performance benchmarking is not included in the simulation coverage described.

Operational Impact

Aviz Networks is presented as providing orchestration, operations, and visibility across the AI factory stack, while NVIDIA provides the infrastructure.

The post lists capabilities attributed to Aviz Networks as network orchestration from Day 0 to Day 2, multi-tenancy and automation, security and observability, and AI-driven operations.

Leadership Perspective

The webinar addresses the misconception that simulation is optional, stating that simulation is essential because it reduces deployment slowness and deployment risk as infrastructure evolves.

It concludes that AI factories require tight integration across multiple layers and positions shift-left as the strategy tied to faster deployment, improved reliability, and scalability within the described framework.

This summary reflects a webinar discussion on simulation-first AI factory deployment, the shift-left testing model, and the roles attributed to NVIDIA and Aviz Networks in validation and operations; Blog Signals brief is a fact-based summary of the vendor blog.

Blog post, originally published by Yohan Kattackel Bobby at Aviz Networks.

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