01
Model distribution
Delta sync + P2P: GB-scale models reach every region in minutes.
Delta syncMinutes
AI Solution
Model distribution & inference, unified
Built for AI companies: global model distribution, edge inference next to users, and API abuse protection — fast, stable, economical.
inference 8ms
- Model hub
- Edge distribution
- Nearby inference
The delivery problem of AI services
GB+
model size
Slow rollout
Pushing large models worldwide takes hours.
300ms+
round trip
High latency
Centralized inference crosses oceans; real-time apps break.
35%
abusive calls
API abuse
Bots and abuse burn your compute budget.
10x
cost variance
GPU economics
Peaky demand makes resident GPUs expensive.
A security system in four steps
02
Edge inference
300+ edge GPUs answer nearby — 8ms end to end.
8ms300+ GPU
03
API protection
Key governance and behavior detection refuse abuse at the edge.
Anti-abuseRate limits
04
Elastic compute
Scale with request volume; 500µs cold starts; pay per use.
500µsPay per use
Real customer outcomes
Model rollouts went from hours to minutes, and overseas inference latency fell from 320ms to 9ms. The product feels completely different.
— Head of Infrastructure, Aurora AI
8ms
Avg inference latency
-70%
Model rollout time
-45%
Inference compute cost
Typical AI scenarios
Chat / Copilot
- Streaming responses generated nearby
- Session context cached at edge
- Per-key rate limiting
Generative media
- Delta distribution of large models
- Elastic GPU for peaks
- Outputs cached close to users
On-device / IoT AI
- Regional canary model rollout
- Resumable sync on weak networks
- Nearby request aggregation