Event - Aviz Networks | Aviz Networks
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January 1, 2099
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The Challenge
Challenge
AI infrastructure risk is increasingly integration-driven. Multi-vendor stacks evolve faster than validation cycles, while organizations demand open architectures with predictable outcomes.
Where It Breaks
AI factories don't fail because one component is "bad." They fail when the full stack doesn't operate as one system at scale.
An AI factory is a full stack
- GPU Compute
- Switching
- Storage
- DPU / NIC
- Network OS
- Orchestration
Business Impact
AI initiatives stall not because of models — but because infrastructure can't operate reliably at scale.
- Many AI POCs never reach production
- Integration and operational readiness are the primary blockers
- Delays and rework increase cost and reduce confidence
The Cost of Finding Issues Late
Most failures show up after time and money are already committed.
01
During proof-of-concept
Integration gaps surface when components first meet real workloads.
02
During early production
Reliability, scaling, and operations expose hidden dependencies.
03
After infrastructure spend is locked in
Fixes become rework — slowing rollout and increasing cost.
Impact for GPU Cloud Providers & Neo-Clouds
Time to market
Customer onboarding
Service reliability
Capital efficiency
Why Aviz AI Factory Center
Aviz AI Factory Center shifts validation left — before deployment. Instead of discovering issues after rollout, organizations can validate full-stack designs upfront in a neutral environment.
Outputs include
- Production-Ready Reference Architectures
- Deployment Configuration Packages
- Validation Evidence
- Operational Guidance
Sales, platform, and engineering teams can use these artifacts directly.
Overview
Network packet capture and analysis is very crucial for any enterprise network. The use cases of network visibility range from inferring insights about the kind of traffic entering the network to intrusion detection and understanding internal load-sharing behavior and performance. Each company usually has its own enterprise network solution it employs to leverage visibility into its networks. Existing solutions like cPacket, Gigamon, etc. are much sought out and used. However, they come with the drawbacks of high CapEx and OpEx costs, scalability issues, and often limited support and assistance attributed to the nature of vendor lock-in.
Build A Multi-Tenant NVIDIA AI Factory That Stays Deterministic As You Scale
Deploy faster, operate simply, and validate changes safely with Aviz across NVIDIA AI Factory networking and operations. Get the operational software layer that transforms NVIDIA's powerful infrastructure into a production-ready, multi-tenant AI factory.
Multi-Tenant Orchestration
Policy guardrails across AI factory networks
DPU-Accelerated Intelligence
Clean, actionable telemetry and observability
GPU-Powered AI Platform
Next-generation network operations
The outcome:
an operational model where fabric, orchestration, and consumption work in concert, enabling enterprises to scale AI confidently and profitably.
Integrated Operations
From Disparate Components to a Service Fabric
Enterprises no longer need to choose between control and speed. By combining Aviz, NVIDIA, and Rafay capabilities, platform teams can deliver AI services with both.
AI Factory Orchestration as a Service
An AI factory is a full stack
- GPU Compute
- Switching
- Storage
- DPU / NIC
- Network OS
- Orchestration
Deterministic AI Performance
- GPU-Aware Traffic Engineering Across Spectrum-X Ethernet Fabrics
- Segmented East-West Networking For Predictable Performance
- Optimized Paths For Large-Scale Training And Inference Workloads
Why Financial Networks Need A New Approach
Your team spends too much time on repetitive work agents can handle. Every hour of toil is an hour not spent on innovation or problems that require real expertise.
01 Regulatory Overload: Frequent audits and evolving mandates (PCI-DSS, SOC, ISO) demand continuous compliance checks.
02 Regulatory Overload: Frequent audits and evolving mandates (PCI-DSS, SOC, ISO) demand continuous compliance checks.
03 Regulatory Overload: Frequent audits and evolving mandates (PCI-DSS, SOC, ISO) demand continuous compliance checks.
04 Regulatory Overload: Frequent audits and evolving mandates (PCI-DSS, SOC, ISO) demand continuous compliance checks.
The Aviz Advantage
Unified Network Fabric (SONiC + ONES)
- Orchestrate and monitor multi-vendor SONiC networks across data centers and branches.
- Scale from 10G to 400G — save up to 50% TCO.
Deep Observability (PacketBroker + Service Nodes)
- Achieve packet-, session-, and app-level visibility across core, branches, and cloud.
- Detect anomalies, verify SLAs, and ensure transaction integrity.
NVIDIA Spectrum-X Ethernet and SuperNICs: Performance by Design
NVIDIA Spectrum-X Ethernet provides the deterministic, lossless foundation for large-scale AI training and inference.
01
Optimized for AI
RoCEv2 transport ensures congestion-free throughput across thousands of GPUs.
02
Self-Service AI Environments
Linear expansion from rack-level to AI factory scale.
03
In-Band Telemetry
Delivers adaptive routing and in-band telemetry for consistent performance.
Conclusion
Aviz ONES and Spectro Cloud PaletteAI together deliver a platform-led model for AI infrastructure — transforming NVIDIA Spectrum-X Ethernet-based environments into scalable, governed, and consumable AI factories.
By uniting fabric orchestration with Kubernetes lifecycle automation, organizations can deploy AI infrastructure with confidence, operate it efficiently, and expose it as a service to AI practitioners.
Unlock the full potential of network observability and security with OPBNOS R2.8. Enhance your traffic monitoring, analytics, and compliance capabilities with Aviz's industry-leading Open Packet Broker solution.
Introducing Aviz Service Nodes
Aviz Service Nodes (ASN) revolutionizes Network Observability with advanced filtering, deduplication, and intelligent traffic distribution. It integrates high-performance packet processing, deep packet inspection, and seamless packet capture to enhance visibility and security. Aviz Service Nodes delivers business relevant performance insights through real-time traffic analysis, correlation of network, application, and subscriber data, and generates KPI updates via Kafka.
Aviz ONES Feature Comparison
A comprehensive comparison of key capabilities across different deployment models and use cases for enterprise network visibility solutions.
| Use Case | What It Enables | Business Impact |
|---|---|---|
| Network TAP Aggregation | Consolidate traffic from multiple TAP points | Reduce monitoring tool costs by 60% |
| Packet Deduplication | Remove duplicate packets in real-time | Improve analysis accuracy and reduce storage |
| Load Balancing | Distribute traffic across monitoring tools | Maximize tool utilization and throughput |
| Header Stripping | Remove tunnel headers (VXLAN, GRE, MPLS) | Enable legacy tools to process encapsulated traffic |
| Timestamping | Add nanosecond-precision timestamps | Accurate latency measurement across network hops |
| Packet Slicing | Truncate packets to header-only | Reduce bandwidth to monitoring tools by 80% |
Key Benefits of AI-Driven Networking
01
Unified Visibility
End-to-end network visibility across multi-vendor environments with real-time telemetry and AI-powered analytics.
02
Automated Remediation
AI-driven root cause analysis and automated remediation reduce mean time to resolution by up to 80%.
03
Vendor Agnostic
Works with any hardware vendor, any NOS, and any cloud — eliminating lock-in and maximizing choice.
04
Cost Optimization
Reduce total cost of ownership by 40-60% compared to proprietary networking solutions.
05
Enterprise-Grade Security
Built-in zero-trust security framework with continuous compliance monitoring and threat detection.