Unified model ingress
OpenAI-compatible format connects major LLMs with almost no application code change.
Industry · AI Apps
Acceleration for AI Apps and Model Delivery
An edge AI gateway for chat, agents, AIGC and model APIs, with OpenAI-compatible ingress, token-stream acceleration, key isolation and usage visibility.- -38% First-token wait
- Zero change to adopt major models
- 99.9% Gateway uptime
Pain points
Common AI-app problems
• Multiple models and keys are managed in scattered places, with messy rate limits and failover.
• Token usage and cost are hard to reconcile or allocate by business and model.
• Upstream keys exposed to clients risk leakage and overage.
IXCDN
How IXCDN handles it
Streaming acceleration
Nearby ingress and reused long connections cut first-token wait by 38% and steady the stream.
Key and permission isolation
Upstream keys never reach clients; access and rate limits are scoped by team, app and model.
Usage and cost visibility
Token and request counts by model, workload and endpoint, allocatable to projects.
Failover
Route across models by policy, with switchover or fallback when one model fails.
Benefits
Outcomes
38% faster first token
Nearby edge access and reused long connections reduce streaming stalls.
Clear token cost
Usage by model, workload and endpoint gives reconciliation a source of truth.
Keys stay private
Upstream keys stay in the gateway behind rate limits, out of client reach.
IXCDN