ALNETS
01Enterprise Core · Model Access & Network Dispatch

AI Network & API Gateway Infrastructure

Unified Model Gateway · Multi-Account Pooling · Isolated Proxy Egress · Governed Token Budgets

Centered on ALNETS API Gateway and anchored by AiR Cloud Gateway Routers, coordinating AiA Agent Hosts and AiW-V local workstations. Unifies cloud and local models under a single authoritative catalog with multi-account pooling, per-account proxy egress, per-employee auth, and monthly Token spend control.

Unified Model Catalog · Zero Fragmented ConfigAccount Pooling · Dedicated Egress ProxiesObservability · Department Spend CapsCross-Device Synergy · Central Governance

DOMAIN SCENARIO SOLUTIONS

Scenario Solutions & Bespoke Customization

Offering verified hardware-software architectural references, with comprehensive support for tailored customization and on-site integration based on your specific workflows.

Enterprise AI API Gateway & Multi-Device SynergyAI Network & API Gateway

Enterprise AI API Gateway & Multi-Device Synergy

Centralize cloud & local models, dynamic account pools, employee auth, and token budgets around a unified gateway

Establish an authoritative, governed AI infrastructure for enterprise teams—eliminating fragmented configs, uncoordinated upstream accounts, credential leaks, and untracked API costs.

统一接入Unified Multi-Model Catalog
多账号池Dynamic Pooling & Proxy Egress
用量可控Per-User Auth & Token Budget
Core Hardware
AiR AI Cloud Gateway RouterAiA AI Agent HostAiW-V Local AI WorkstationAiM Remote Ops & Development Platform
View Solution Reference & Topology

HARDWARE ECOSYSTEM

Recommended Hardware for AI Network & API Gateway Infrastructure

Clear responsibilities across edge compute, security routing, and fleet operations.

Network Security Base

AiR AI Cloud Gateway Router

Enterprise cloud router providing encrypted tunnels, dedicated proxy egress, and subnet isolation.

View Product Specs →Agent Host Runtime

AiA AI Agent Host

10W dedicated host running 24/7 autonomous agent pipelines with hardware-level isolation.

View Product Specs →Local High-VRAM Workstation

AIW-V

Equipped with 32GB/64GB HBM2 VRAM, running Qwen 27B-class private models locally.

View Product Specs →

ENGINEERING METHODOLOGY

Four-Stage Deployment Methodology

Clear engineering discipline from workload sizing to thermal stress testing and standardized sign-off.

STEP 1

01 Workload & Sizing

Define site conditions, model footprint (vision/7B/14B/27B), concurrency, and mounting space.

STEP 2

02 Hardware Sizing & Boundary

Match edge hosts, high-VRAM workstations, or routers with explicit data privacy boundaries.

STEP 3

03 On-Site Stress Testing

Verify latency, thermals, power draw, and failover behavior under production loads.

STEP 4

04 Handover & Standard Ops

Archive golden firmware configurations and integrate unified telemetry for continuous support.