Edge Intelligent Inference Platform Edge inference, served nearby
Edge inference nearby, millisecond response for your AI applications
Global GPU Nodes
3000+
Inference Latency
<10ms
Core Challenges of Edge AI Inference
Enterprises face multiple challenges of latency, cost and operations when deploying AI models at the edge
Uncontrollable Latency
Cross-ocean requests to centralized GPU clusters push first-token latency beyond 2 seconds, breaking real-time interaction experiences.
Severe Cold Starts
Initial model loading takes 10-30 seconds. In Serverless scenarios, cold starts stack with model loading, making latency unacceptable.
Soaring GPU Costs
A100/H100 on-demand pricing is expensive, resources idle during low traffic, and elastic scaling responds too slowly.
Data Compliance & Security
GDPR and cybersecurity laws require localized data processing, cross-border audits are complex, and model weight protection is difficult.
Edge Infrastructure Built for AI Inference
End-to-end optimization from hardware to software, ensuring every inference runs on the optimal node
Global GPU Edge Clusters
100+ GPU clusters covering major global regions, equipped with NVIDIA A100/H100, auto-scaling during traffic peaks.
Model Preloading & Caching
Popular model weights are preloaded on edge nodes, eliminating cold starts for millisecond responses.
Smart Load Balancing
Multi-dimensional evaluation of node latency, load and cost to intelligently route requests to the optimal GPU node.
Real-time Inference Monitoring
Full-link observation of inference latency, success rate and resource levels, with automatic anomaly alerts.
One-Click Deploy API
OpenAI-compatible format, just replace the base_url to connect with zero business changes.
Full Coverage of Flagship Models
Edge deployment and accelerated inference for mainstream AI models
Large Language Models
Accelerated inference for GPT-4o, Claude 3.5, Llama 3, Qwen 2.5 and more.
AIGC Image Generation
Edge deployment of Stable Diffusion, FLUX, DALL-E 3 image generation models.
Speech & Audio
Low-latency inference for speech recognition, synthesis and real-time translation models.
Multimodal Models
Accelerated multimodal inference for text-to-image, image-to-text and video understanding.
Four Steps to Global Edge Inference
API Integration
OpenAI-compatible format, just replace the base_url with one line of code and zero business changes.
Smart Routing
Requests automatically route to the nearest GPU node with multi-dimensional evaluation of latency, load and cost.
Edge Inference
GPU clusters execute model inference, preloaded caches eliminate cold starts, streaming real-time output.
Result Return
Encrypted results returned with full-link observability and 99.99% availability guarantee.
Full-Scenario AI Inference Coverage
From real-time conversations to content generation, optimized for every scenario
Intelligent Customer Service
LLM-powered customer service with fluent streaming conversations and first token under 200ms.
Real-time Content Generation
Real-time AIGC image, video and copy generation, edge inference accelerates creation with high concurrency support.
Voice Interaction
Speech recognition and synthesis end-to-end under 500ms, for assistants, simultaneous interpretation and voice navigation.
Autonomous Driving & IoT
Offload vehicle/device inference to edge GPUs for complex models with millisecond decisions.
FAQ
Common questions about edge AI inference
Use the OpenAI-compatible API format and just replace base_url to connect, with zero business code changes.
