Distributed Edge & AI Architecture In Action

Interactive, real-time demonstrations of high-performance cloud infrastructure, edge compute, low-latency video, and distributed AI inferencing.

Featured Demonstrations

Select a live environment to test performance, edge routing, and workload security.

Edgeworkers AI

Sub-millisecond object detection and image classification executing at the edge using Akamai EdgeWorkers and ONNX WebAssembly engines.

EdgeWorkers EdgeKV ONNX Runtime

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Distributed Compute

Simulate dynamic traffic spikes and regional cloud outages to observe Akamai Global Traffic Management (GTM) route in real time.

Linode Kubernetes GTM Prolexic

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Generative AI

An edge-optimized LLM proxy leveraging semantic caching and vector indexing to drastically decrease inference latency and token overhead.

Vector DB EdgeKV Python API

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Deploy cloud workloads seamlessly across hundreds of edge locations brought together by Akamai Connected Cloud.

Built-in DDoS mitigation, API security, and Web Application Firewall (WAF) running at the perimeter.

Execute micro-AI model logic closer to users to reduce round-trip latency and compute infrastructure expenses.