Live Cloud & AI Environments

Explore Next-Gen Edge Infrastructure & AI Workloads

Interactive, real-time demonstrations of high-performance cloud deployment, edge computing, and distributed AI inferencing.

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Featured Demonstrations

Select a live environment below to test latency, performance, and capabilities.

Edge AI Inferencing

Real-Time Vision AI at the Edge

Demonstrates low-latency object detection and image classification running closer to the user using micro-edge instances.

Akamai EdgeWorkers ONNX Runtime WebAssembly
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Distributed Compute

Global Load Balancing & Failover

Simulate high-traffic spikes and regional outages to observe real-time dynamic traffic routing and instant edge failover.

Linode Kubernetes Engine Global Traffic Management
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Generative AI

LLM Gateway & Token Caching

An interactive testbed showcasing dynamic edge response caching and semantic retrieval to cut LLM inference costs and latency.

Vector DB EdgeKV Python API
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Ultra-Low Latency

Deployed across globally distributed compute locations to ensure minimal response times for AI payloads.

Zero-Trust Security

Integrated API security and DDoS protection embedded directly into every live demonstration environment.

Portable Architecture

Built on open standards, containerized workloads, and cloud-agnostic deployment patterns.