Simplify Open Networking with NEO Cloud | Aviz Networks

NeoCloud GPU as a Service: AI-Ready, Multi-Tenant, Scalable

Accelerate AI with NeoCloud: GPU-as-a-Service, multi-tenant orchestration, SONiC networking, deep observability, and vendor-neutral scalability.

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NeoCloud is Moving at Light Speed: Are You Ready to Keep Up?

The GPU-as-a-Service market is exploding. AI workloads are pushing infrastructure to its limits, and innovation in GPU hardware, networking, and orchestration is moving at light speed.

The question isn’t if you’ll adopt the latest GPUs, high-bandwidth fabrics, or AI-ready orchestration, it’s how quickly you can consume and operationalize them without wasting time, money, or compute.

Yet, many NeoCloud providers struggle to match the speed of customer demand with the speed of technology onboarding. New GPUs and high-speed networks arrive faster than teams can deploy, optimize, and monetize them.

Does This Sound Familiar to You?

  1. How do I onboard the latest NVIDIA or AMD GPU clusters faster without disrupting my cloud?
  2. How can I prevent expensive GPUs from sitting idle due to poor multi-tenancy or orchestration gaps?
  3. How do I keep bandwidth ahead of customer demand without locking into one vendor?
  4. How do I get a single, real-time view across GPUs, DPUs, and networks for faster troubleshooting?
  5. How can I meet compliance and monitor every packet, without overspending?
  6. How do I free up my top engineers from L1/L2 support tickets so they can focus on scaling my cloud?

NeoCloud Networking: From Bottlenecks to Breakthroughs

NeoCloud Challenge

How Aviz Solves It

Slow Technology Onboarding & Deployment Lag: GPU innovation cycles (NVIDIA, AMD) and network hardware releases outpace your ability to deploy. Onboarding takes weeks/months, slowing revenue.

Full-Stack Vendor-Neutral Support: Only Aviz delivers a single operating plane for Spectrum-X and non-Spectrum-X GPU clouds (SONiC and Cumulus). Works with all ASIC vendors. Resident Development Engineers (RDEs) augment your team for faster, agile deployments.

Underutilized GPUs from Poor Multi-Tenancy: Expensive GPUs sit idle when orchestration doesn't match tenant needs.

Multi-Tenant GPU Orchestration: Provision and share GPU clusters efficiently, maximizing utilization and reducing waste. Supports both NVIDIA and AMD GPUs.

Bandwidth Bottlenecks in Scaling AI Workloads: Training and inference demand massive east-west throughput and future-proof fabrics.

Future-Proof, Multi-Vendor Data Center Fabric: Scale from 100 GbE to 800 GbE without forklift upgrades. Adopt the latest switches from any vendor as soon as they ship.

Lack of End-to-End Visibility & Troubleshooting: No single view across GPU, DPU, host, and network layers, delaying issue detection and resolution.

One-Plane Monitoring Across All Layers: Aviz doesn't just orchestrate, it also delivers unified visibility, alerting, and performance analytics for AI traffic across GPUs, DPUs, and networks. Enables rapid root cause detection and resolution.

Managing Compliance & PII Protection: Compliance audits for sensitive AI workloads require packet-level data, but existing tools are expensive and incomplete.

Deep Observability with Aviz Packet Broker & Service Nodes: Monitor every packet across GPU, host, and network, in data centers and PoPs. Enable comprehensive compliance reporting and faster audit readiness.

Limited Staff Stretched Between Ops & Support: NetDevOps teams spend time answering customer tickets instead of scaling the cloud.

AI-Driven L1/L2 Support with Network Copilot™: Network-specific AI assistant handles customer questions, detects anomalies, and automates resolution. Frees engineers for high-value work.

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Open-source network operating system for cloud, enterprise, and edge, enabling disaggregation and rapid innovation.

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