Global GPU Edge Clusters
100+ GPU clusters worldwide with NVIDIA A100/H100, auto-scaling for peaks.
Edge AI
AI inference, closer to your users.
Global GPU edge clusters, preloaded models and intelligent routing. Deliver intelligence with lower latency, starting with a single API call.
100+Global GPU clusters
<100msModel cold start
<200msLLM first token
99.99%Uptime SLA
BUILT FOR INFERENCE
Optimized from model to response.
Compute, routing and observability. One edge infrastructure, built for AI inference.
Flagship Model Coverage
GPT-4o, Claude 3.5, Llama 3, Qwen 2.5, Stable Diffusion, FLUX and Whisper out of the box — private models supported.
LLMAIGCVoiceMultimodal
Private model deployment supportedModel Preloading & Caching
Popular models pre-deployed to edge nodes with distributed weight caching.
Smart Load Balancing
Multi-dimensional routing by latency, load and cost with canary model releases.
Real-time Inference Monitoring
Visual dashboard with live throughput, GPU utilization and latency distribution.
One-Click Deploy API
OpenAI API compatible — one-line switch with streaming and function calling.
MADE FOR YOUR APPLICATION
Different applications. Responsive by design.
Choose your application to explore how edge inference fits your workflow.
LLM · STREAMING
Fluid conversations. Timely answers.
LLM-powered service with smooth streaming and a first token under 200ms.
<200msFirst token response
Explore AI solutionsCustomer serviceEXAMPLE
Customer question
How do I connect to edge inference?
EDGE AI
Streaming answer
Use the OpenAI-compatible API and update base_url to send inference requests to edge nodes.
AIGC · MULTIMODAL
Turn ideas into real-time content.
Generate images, video and copy in real time, with edge inference supporting high-concurrency creation.
3×Content generation speed
Explore AI solutionsContent generationEXAMPLE
Creative prompt
Write a launch introduction for a new product.
EDGE AI
Multimodal content
Start with an idea. Route text, image and video generation to a nearby inference node.
VOICE · REAL TIME
Clear listening. Faster replies.
Speech recognition and synthesis in under 500ms end to end, for assistants and live interpretation.
<500msEnd-to-end latency
Explore AI solutionsVoice interactionEXAMPLE
Voice input
Recognize speech and generate a natural reply.
EDGE AI
Voice response
Speech recognition → understanding → synthesis, delivered as a continuous interaction at the edge.
IOT · EDGE COMPUTING
Bring intelligent decisions on site.
Offload vehicle and device inference to edge GPUs for complex models and millisecond-level decisions.
<10msInference decision
Explore AI solutionsDevices & IoTEXAMPLE
Device data
Process device data and return an inference result.
EDGE AI
Decision result
Connect devices locally, run complex models on edge GPUs and return results over an encrypted connection.
LESS OPERATIONAL FRICTION
Solve deployment challenges, one by one.
01Unpredictable Latency
Nearby inference reduces cross-region transfers
Cross-ocean requests to centralized GPUs cause 2+ second first-token delays, destroying real-time interaction.
02Severe Cold Start
Preloaded models and distributed weight caching
Large models take 10-30s to load; serverless cold starts stack on top — unacceptable waits.
03Skyrocketing GPU Costs
Elastic capacity, billed by inference usage
A100/H100 on-demand pricing is expensive; resources idle at low tide; scaling reacts slowly.
04Data Compliance & Security
Local processing, encrypted weights and TLS
GDPR requires local processing; cross-border auditing is complex; weight protection is hard.
A FAMILIAR WORKFLOW
A familiar API. Intelligence at the edge.
Keep your workflow.
Change where inference happens.
Use streaming and Function Calling, or deploy your private models to edge GPU clusters.
Your app
Discuss integrationbase_urlEdge AI- 01
API Integration
OpenAI-compatible — just replace base_url. One line, zero business changes.
- 02
Smart Routing
Requests auto-route to the nearest GPU node by latency, load and cost.
- 03
Edge Inference
GPU clusters execute nearby; preload cache kills cold starts; streaming output.
- 04
Return Results
Encrypted delivery with full observability and 99.99% availability.
GOOD TO KNOW
Frequently Asked Questions
Answers about models, integration, performance and pricing.
What AI models are supported?
GPT, Claude, Llama, Qwen, Stable Diffusion, Whisper and more — plus private model deployment on edge GPU clusters.
How do I integrate?
OpenAI API compatible: replace base_url and you are done. Streaming and function calling supported.
How much latency reduction?
Nearby inference cuts end-to-end latency from hundreds of ms to under 10ms; LLM first token under 200ms.
How is data security ensured?
Local processing near users, encrypted weight storage, full-path TLS — GDPR-ready.
What is the pricing model?
Pay per actual usage (tokens / GPU-seconds). No minimums, no idle charges.