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Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.

Akamai offers Akamai Inference Cloud, a distributed platform that lets businesses run AI models closer to end users by spreading computing power across thousands of edge locations worldwide, reducing delays and costs compared to centralized cloud providers. The service launched in October 2025 and targets organizations looking to deploy AI in real-world production environments.

Details

Akamai Inference Cloud runs on Akamai's globally distributed network of over 4,200 locations and integrates with NVIDIA's AI Enterprise ecosystem, including Triton, TensorRT, and NVIDIA BlueField DPUs. The platform supports large language model (LLM) inference and predictive AI workloads, with use cases including video intelligence, context-aware chatbots, personalized product recommendations, and AI-powered consumer products. In March 2025, Akamai announced a version highlighting 3x throughput improvement and 86% lower cost than traditional hyperscale infrastructure.

Products affected

Akamai Inference CloudAkamai Connected Cloud

Sources & Evidence

Company Disclosure

Akamai Inference Cloud Gains Early Traction as AI Moves Out to the Edge

PR Newswire·Nov 2025

https://www.prnewswire.com/news-releases/akamai-inference-cloud-gains-early-traction-as-ai-moves-out-to-the-edge-302605977.html

Company DisclosureVerified

Akamai Inference Cloud Transforms AI from Core to Edge with NVIDIA

Akamai Technologies Investor Relations·Oct 2025

https://www.ir.akamai.com/news-releases/news-release-details/akamai-inference-cloud-transforms-ai-core-edge-nvidia

Company Disclosure

Akamai Sharpens Its AI Edge with Launch of Akamai Cloud Inference

PR Newswire·Mar 2025

https://www.prnewswire.com/news-releases/akamai-sharpens-its-ai-edge-with-launch-of-akamai-cloud-inference-302412571.html

Cite this record

Trace Foundation. (2026). Akamai Technologies: Akamai offers Akamai Inference Cloud, a distributed platform that lets businesses run AI models closer to end users by spreading computing power across thousands of edge locations worldwide, reducing delays and costs compared to centralized cloud providers. The service launched in October 2025 and targets organizations looking to deploy AI in real-world production environments (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/e37bd8a1-25c2-45f2-abc9-741400e0a6b0. Accessed September 11, 2026.

Stable link: https://www.aitrace.org/r/practice/e37bd8a1-25c2-45f2-abc9-741400e0a6b0
Data as of: April 21, 2026
Last verified: April 21, 2026

How to cite AI Trace

Other practices by Akamai Technologies

Data AnalysisAkamai uses machine learning models in its Akamai Hunt service to automatically detect suspicious movement of attackers through customers' internal networks, surfacing threats that evade traditional security tools. Human security experts then investigate each flagged event before alerting the customer.Data AnalysisAkamai uses AI in its Guardicore Segmentation product to automatically map how applications and devices communicate inside a customer's network, then generate ready-to-enforce security policies that limit attackers' ability to move between systems. Major AI-powered updates to this product were announced in April 2024 and March 2026.ModerationAkamai uses an AI framework in its Bot Manager product to automatically distinguish human web visitors from malicious automated bots across customer websites, apps, and APIs, assigning each request a bot-likelihood score in real time. This capability has been in production for multiple years and handles an average of 40 billion bot requests per day.

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