Akamai extends AI inference to the edge with NVIDIA infrastructure

Akamai extends AI inference to the edge with NVIDIA infrastructure

Akamai has introduced the Akamai Inference Cloud, the first platform to take AI inference from core data centers to the edge while maintaining low latency and performance, thereby supporting real-time AI handling across the globe. 

Akamai’s unique combination of distributed architecture and NVIDIA’s Blackwell AI Infrastructure allows for next-generation AI systems such as personal experiences, smart agents and real-time decision systems.

Akamai Inference Cloud puts AI inference closer to end-users, allowing for real-time, scalable, and secure decision-making across many fields, including fraud detection, industrial robots, and autonomous vehicles.

It incorporates NVIDIA RTX PRO Servers, BlueField DPUs, and AI Enterprise software into Akamai’s global edge network, which spans over 4,200 locations. 

“The next wave of AI requires the same proximity to users that allowed the internet to scale to become the pervasive global platform that it is today,” says Dr. Tom Leighton, Akamai CEO and co-founder. “Akamai solved this challenge before and we’re doing it again. Powered by NVIDIA AI infrastructure, Akamai Inference Cloud will meet the intensifying demand to scale AI inference capacity and performance by putting AI’s decision-making in thousands of locations around the world, enabling faster, smarter, and more secure responses.”

The platform enables decentralization of data processing via “AI Factories,” allowing smart agents to learn from user interactions and execute real-time transactions. 

It is intended for both agentic and physical AI to respond to millisecond-level operations, such as industrial automation and transport, that need real-time reactions. 

Akamai Inference Cloud streamlines AI workload processing by directing chores to the most convenient possible location for processing decisions and workload processing. 

The platform is now available in 20 global locations, with plans to expand as AI demand increases.

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