Podcast thumbnail for Aviz Networks Podcast Series

Aviz Networks Podcast Series

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by Aviz Networks

20 episodes
Updated Daily
Accepts GuestsHas Sponsors
10

Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality21
Social0
YouTube0
Engagement0

Podcast Overview

Explore Networking 3.0 and its AI-driven future in our exclusive podcast series.

Language

🇺🇲

Publishing Since

5/5/2024

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10

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality21
Social0
YouTube0
Engagement0
6
Excellent Areas
0
Good Performance
13
Growth Opportunities
excellent
Episode Length
22 minutes
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poor
Publishing Consistency
Every 45 days

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Recent Episodes

Episode thumbnail for Ep 20: Networking in the AI Era: SONiC, Open Networking, and AI Ops with Aviz

February 13, 2026

Ep 20: Networking in the AI Era: SONiC, Open Networking, and AI Ops with Aviz

In this episode, Scott Raynovich (Founder & Principal Analyst at Futurum) speaks with Thomas (Chief Product Officer at Aviz) about what’s changed in networking as AI clusters and “AI factories” scale up fast. AI traffic isn’t just bigger, it’s fundamentally different: east-west heavy, latency-sensitive, bursty, and dominated by machine-driven collective flows. The conversation explores how modern AI infrastructure requires multiple networks (front-end and back-end), and why moving data in/out of GPU servers is now a major design consideration. What you’ll learn in this episode: 1.) Why AI traffic behaves differently than traditional client-server workloads 2.) The rise of multiple AI networks: front-end (north-south) and GPU back-end (east-west) 3.) How open networking + SONiC helps reduce cost and improve flexibility 4.) Why standardization lowers operational complexity across mixed hardware environments 5.) How blueprints, validation, and automation speed up AI fabric deployments 6.) “Networks for AI” vs. “AI for Networking” - applying AI to day-0/day-1/day-2 operations 7.) What network observability means in AI environments: KPIs, prediction, faster RCA 8.) What’s new at Aviz: Certified Community SONiC and faster deployment tooling 9.) Aviz’s partnership with NVIDIA Spectrum-X and reference architecture automation 10.) What to expect in 2026: enterprise clusters, GPU-as-a-service/neo-clouds, sovereign AI footprints, and stronger focus on data + storage workflows If you’re building or operating AI infrastructure, whether for training, inference, or GPUaaS this conversation breaks down what matters most: speed to deploy, operational simplicity, and performance at scale. #AINetworking #SONiC #OpenNetworking #NetworkAutomation #AIOps #NetworkObservability #NVIDIA #SpectrumX #AIFactory #GPUClusters #DataCenterNetworking #Futurum #Aviz

Episode thumbnail for Ep 19: AI Networking at Scale: Why Traditional Data Center Models Break Down

February 13, 2026

Ep 19: AI Networking at Scale: Why Traditional Data Center Models Break Down

In this episode, Scott Raynovich, Founder & Principal Analyst at Futuriom, sits down with Chid Perumal, Co-Founder & CTO of Aviz Networks, to unpack what really changes when networks are built for AI. As AI workloads scale across thousands of GPUs, the network is no longer a passive transport layer, it becomes part of execution. Small, transient issues can snowball into GPU idle time, job retries, and massive performance loss. Key topics covered in this conversation: 1) Why AI networking is fundamentally different from traditional data center networking 2) How microsecond-level congestion and synchronization impact AI workloads 3) The limits of human-driven network operations at AI scale 4) Why automation, contextual alerts, and proactive telemetry are critical 5) Managing multi-vendor, heterogeneous AI fabrics without operational lock-in 6) How to shift from device-centric troubleshooting to path- and workload-aware operations 7) What normalized, evidence-based root cause analysis looks like in AI environments 8) What to expect from AI networking in 2026 and beyond This discussion is a must-watch for network architects, infrastructure leaders, and executives navigating AI-driven data centers and large-scale GPU fabrics. Watch now to learn how AI is reshaping network operations and what it takes to run AI fabrics reliably at scale. #AINetworking #AIFabrics #DataCenterNetworking #NetworkObservability #GPUClusters #CloudInfrastructure #EnterpriseAI #AvizNetworks #Futurum

Episode thumbnail for Ep 18: From Strategy to Operations: The Real Business Value of SONiC PlugFest

February 13, 2026

Ep 18: From Strategy to Operations: The Real Business Value of SONiC PlugFest

In this episode of the Aviz Networks Podcast, host Shruti Jha speaks with Khuram, Head of Customer Success at Aviz Networks, about why SONiC PlugFest is not just a technical validation event—but a strategic enabler for modern enterprises . The conversation covers how PlugFest helps organizations: 1. Reduce data center infrastructure costs by up to 50% 2. De-risk open networking adoption with transparent, community-driven testing 3. Align executives, architects, and operators around real-world production readiness 4. Avoid vendor lock-in while scaling SONiC with confidence Whether you’re shaping infrastructure strategy or operating networks at scale, this episode shows how SONiC PlugFest bridges the gap between business goals and operational reality. Register for SONiC PlugFest to access the results webinar and key takeaways- https://hubs.li/Q03-_Htd0 Like, subscribe, and stay tuned for more insights on open networking

20 total episodes available

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Frequently asked questions

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What is Aviz Networks Podcast Series?

Explore Networking 3.0 and its AI-driven future in our exclusive podcast series.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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