Architect's Perspective — Building the AI-Ready Network the Right Way
As a network architect, you're responsible for more than uptime — you're the technical steward of your organization's future.
Your designs have to deliver today's performance, enable tomorrow's innovation, and avoid the traps that slow everyone else down.
Skip the browsing. Ask AI.
The Challenge?
1
Innovation cycles are accelerating — AI workloads, GPUs, and network hardware generations are evolving in months, not years
2
Standardization is still lagging — without a common operational plane, every new device, tool, or platform adds integration overhead.
3
AI is real — but it’s noisy — dozens of “AI for Networking” claims, few that actually integrate with your toolchains or meet enterprise-grade expectations.
4
Team skills must keep pace — without architectures that teach as they run, you risk falling behind.
With Aviz, you design without limits, avoid lock-in, and keep MTTR low while giving your team a skill path into AI.
You’re not just integrating today’s tech — you’re building an architecture that can ingest tomorrow’s innovation without breaking stride.
You’re not just integrating today’s tech — you’re building an architecture that can ingest tomorrow’s innovation without breaking stride.
With Aviz, you design without limits, avoid lock-in, and keep MTTR low while giving your team a skill path into AI.
You’re not just integrating today’s tech — you’re building an architecture that can ingest tomorrow’s innovation without breaking stride.
Key Questions we heard from Architects!
Is my observability stack ready for disruption?
Yes — deep network observability is mature enough to replace expensive, closed platforms with open, software-first fabrics.
Aviz delivers a complete packet broker, service node, and AI insights stack — with OEM-grade performance and predictable cost.
Aviz delivers a complete packet broker, service node, and AI insights stack — with OEM-grade performance and predictable cost.
Should I build AI in-house or buy it?
Buy a platform that handles the hard parts — data normalization, multi-vendor connectors, and AI exposure — then build your own workflows and AI agents on top.
This keeps control with you while avoiding wasted effort on low-ROI work.
This keeps control with you while avoiding wasted effort on low-ROI work.
Why is open source more than just cost savings?
It standardizes the operations plane so automation, AI, and integrations scale without friction — and your team speaks the same API language across vendors.
How do I ensure my fabric keeps up with AI workloads?
Aviz is the only stack that runs with NVIDIA Spectrum-X and open NOS options like SONiC — so you can consume the best now and stay ready for future hardware innovations.
How do I reduce MTTR and avoid budget spikes?
Standardization, automation, and AI-assisted troubleshooting cut MTTR from days to hours, while avoiding the surprise costs of proprietary refresh cycles.
Can I run SONiC across mixed hardware without losing support?
Yes — Aviz’s SONiC-based stack supports 150+ switch platforms, maintains vendor-grade stability, and ensures consistent management and telemetry across ASICs.
How does AI fit beyond the infrastructure layer?
AI needs visibility into infrastructure, applications, and tooling — with private, enterprise-ready intelligence tuned to your KPIs and compliance rules. Network Copilot™ delivers this without sending your data to a vendor black box.