IXCDN AI Gateway

Manage All LLMs Through a Single Entry Point

Put OpenAI-compatible APIs, private models, third-party model services and business APIs behind one edge ingress. IXCDN handles nearby access, connection reuse, model routing, token-stream acceleration, access control, logs and cost visibility — 38% lower first-token latency, zero code changes.
  • Unified OpenAI-compatible ingress
  • 38% lower first-token wait
  • Key isolation & rate limiting
  • Usage traceable by model/app
AI API gateway
One API OpenAI-compatible format, connect major LLMs in one click
-38% Lower first-token wait, smooth uninterrupted streaming
Guard Control keys, limits, tokens and access policy in one place

Gateway operations

Manage AI APIs like you manage CDN domains

After an AI app launches, models, keys, limits, logs, cost and failover become operations problems. IXCDN AI Gateway moves them to the edge ingress so teams can experience one API first, then add more models, regions and workloads.

Onboarding

Start in four steps

01

Connect one API

Onboard a chat, agent, AIGC or business API entrance to IXCDN.

02

Configure upstreams

Route by model, provider, region, cost or business priority.

03

Enable edge policy

Turn on access control, token checks, rate limits, cache/reuse and logs.

04

Observe real results

Track first-token wait, requests, errors, model mix and cost.

Unified model routing

Route one OpenAI-compatible entrance to model providers, private models or business backends with less client change.

Streaming optimization

Improve chat, agent, search and AIGC wait time with nearby ingress, connection reuse and steadier long connections.

Key and permission isolation

Keep upstream keys away from clients and scope access by team, app, model and environment.

Cost and logs visibility

View usage by request, token, model, region, application and status code for budgeting and reconciliation.

Failover and fallback

Switch models, limit concurrency or return fallback responses when upstreams fail.

Edge security policy

Apply WAF, bot protection, token validation, rate limits and access control before model services.

Why it matters

Not just request forwarding. AI API operations at the edge.

Direct upstream calls

Clients or services call model providers directly, scattering keys, limits, logs and retry logic.

IXCDN AI Gateway

Model ingress, routing policy, security control, token streaming, logs and cost views run through one edge entrance.

Workloads

Built for these AI and API workloads

AI Chat / Agent

Chat, knowledge base, support, coding assistants and agent workflows.

AIGC generation

Image, video, voice, copywriting and batch generation tasks.

Enterprise APIs

Open APIs, SaaS backends, payment/query APIs and cross-border services.

Model ingress

Private models, inference clusters, GPU nodes and third-party model aggregation.

IXCDN

Start with one AI API and experience real user speed.

Begin with one app or one model, confirm streaming response, security policy, logs and cost views, then move more AI traffic into IXCDN.
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