AI-Native Network Infrastructure

Build networks that
think, adapt, heal.

YUNSHAN Networks delivers AI-powered network infrastructure that autonomously optimizes traffic, predicts failures, and scales at the edge. Purpose-built for the demands of modern distributed systems.

<1ms
Routing Decisions
40%
Latency Reduction
99.99%
Uptime SLA
50+
Edge Regions

Infrastructure that operates itself

Four integrated platforms that transform traditional networking into self-optimizing, AI-driven infrastructure.

NetFlow AI

Traffic Analysis & Optimization

Deep packet intelligence powered by transformer-based models. Classifies, predicts, and optimizes traffic flows in real time across your entire network topology.

  • Real-time traffic classification and anomaly detection
  • Predictive bandwidth allocation and congestion avoidance
  • DDoS mitigation with sub-second response time
  • Application-aware quality of service management

EdgeMesh

Distributed Edge Computing Network

Deploy compute at the network edge with intelligent workload placement. Automatically distributes processing across a global mesh of edge nodes for minimum latency.

  • AI-optimized workload placement and migration
  • Peer-to-peer edge node coordination protocol
  • Containerized function execution at the edge
  • Auto-scaling based on demand prediction models

SmartRoute

ML-Based Path Optimization

Reinforcement learning meets packet routing. SmartRoute continuously learns optimal paths across your network, adapting to conditions faster than any static protocol.

  • Multi-objective path optimization (latency, cost, reliability)
  • Topology-aware routing with real-time link telemetry
  • Protocol-agnostic integration (BGP, OSPF, MPLS, SR)
  • Failover prediction and proactive rerouting

AIOps Platform

Self-Healing Network Operations

End-to-end network observability with autonomous incident response. From anomaly detection to root cause analysis to automated remediation, all in one control plane.

  • Predictive failure analysis with 95%+ accuracy
  • Automated root cause analysis and remediation
  • Unified telemetry: metrics, logs, traces, and flows
  • Natural language queries for network diagnostics

Built for critical infrastructure

From hyperscale data centers to the far edge, YUNSHAN infrastructure adapts to the demands of your environment.

01

Cloud & Data Center Networks

Optimize east-west traffic in large-scale data centers. Reduce tail latency, prevent micro-bursts, and automate capacity planning with AI-driven fabric management.

NetFlow AI SmartRoute ECMP
02

Telco & 5G Edge

Deploy intelligent edge nodes across mobile networks. Enable ultra-low-latency applications with distributed compute and AI-optimized backhaul management.

EdgeMesh MEC uRLLC
03

Enterprise SD-WAN

Replace static WAN policies with ML-driven optimization. SmartRoute continuously adapts path selection based on application requirements and real-time link conditions.

SmartRoute AIOps SASE
04

AI/ML Training Infrastructure

Maximize GPU cluster utilization with intelligent interconnect management. Optimize RDMA flows, reduce job completion times, and eliminate network bottlenecks in training pipelines.

NetFlow AI RoCE InfiniBand
05

IoT & Industrial Networks

Manage massive device fleets with automated provisioning and anomaly detection. Secure, segment, and optimize traffic across heterogeneous industrial protocols.

AIOps EdgeMesh TSN
06

Content Delivery & Streaming

Intelligent content placement and request routing across distributed PoPs. Predict demand spikes, pre-warm caches, and optimize origin shielding with AI models.

SmartRoute EdgeMesh CDN

The intelligence layer for networking

A unified AI platform that sits between your physical infrastructure and applications, continuously learning and optimizing.

Network-native AI, not bolted-on analytics

Our models are trained on petabytes of network telemetry data and operate directly in the data plane. Unlike traditional monitoring that reacts to events after the fact, YUNSHAN's inference engine makes sub-millisecond decisions that shape traffic in real time.

The platform integrates with existing network stacks through standard interfaces -- eBPF for kernel-level observability, gRPC for control plane communication, and P4 for programmable data plane integration.

eBPF Observability
Kernel-level packet inspection without overhead
Real-Time Inference
Sub-millisecond model inference at line rate
Zero-Trust Architecture
Microsegmentation and continuous verification
P4 Data Plane
Programmable packet processing with AI co-pilots
NetFlow
Edge
Route
AIOps
Security
Observe
AI Core
yunshan_config.yaml
# YUNSHAN Networks - Infrastructure Configuration
# Intelligent Network Fabric Definition

apiVersion: yunshan.io/v1
kind: NetworkFabric
metadata:
name: production-fabric region: ap-east-1
spec:
intelligence: engine: netflow-ai-v3 inference_latency: <500us model_update: continuous
routing: engine: smartroute optimization: [latency, cost, reliability] failover: predictive
edge: mesh: edgemesh-global nodes: auto-discover placement: ai-optimized
operations: mode: autonomous healing: enabled alerting: predictive

Ready to make your network intelligent?

Get in touch with our engineering team to discuss how YUNSHAN can transform your network infrastructure.