IXCDN AI Gateway

Manage LLM APIs through one ingress

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 accounting — 38% lower first-token wait with almost no code changes.
  • Unified OpenAI-compatible ingress
  • 38% lower first-token wait
  • Key isolation and rate limits
  • Usage by model and workload
AI API gateway
One API OpenAI-compatible format for major LLM providers
-38% First-token wait, with steadier streaming
Guard Keys, rate limits, tokens and access policy in one place

Gateway operations

Manage AI APIs the way you manage CDN domains

Once an AI app ships, models, keys, rate limits, logs, cost and failover become day-to-day operations. IXCDN AI Gateway moves them to the edge ingress, so you can run one API against real responses before adding more models, regions and workloads.

Onboarding

Four steps to onboard

01

Connect one API

Point a chat, agent, AIGC or business API ingress at IXCDN.

02

Configure upstreams

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

03

Turn on edge policy

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

04

Read real numbers

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

Model routing

One OpenAI-compatible ingress routes to providers, private models or business backends with small client changes.

Streaming responses

Nearby ingress, connection reuse and stable long connections improve wait time for chat, agents, search and AIGC.

Keys and permissions

Upstream keys never reach clients; scope access by team, app, model and environment.

Usage and logs

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

Failover and fallback

Switch models, cap concurrency or return fallback responses by policy when an upstream fails.

Edge security

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

Why it matters

More than request forwarding: run AI APIs as operations

Direct upstream calls

Clients or services call providers directly, spreading keys, limits, logs and retries across systems.

IXCDN AI Gateway

Model ingress, routing, security, token streaming, logs and cost accounting run at one edge ingress.

Workloads

For these AI and API workloads

AI Chat / Agent

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

AIGC generation

Image, video, voice, copywriting and batch generation.

Enterprise APIs

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

Model ingress

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

IXCDN

Connect one AI API and see real user speed.

Start with one app or one model, confirm streaming, security policy, logs and cost accounting, then move more AI traffic to IXCDN.
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