Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

As AI workloads move from centralised training to distributed inference, the industry’s fibre infra challenge is changing ...

This episode is available to stream on-demand. As data centers adapt to manage huge volumes of data from AI applications, new opportunities are appearing outside of major facilities. In the move from ...

CAMBRIDGE, Mass., Oct. 28, 2025 /PRNewswire/ -- Akamai Technologies, Inc. (AKAM) today launched Akamai Inference Cloud, a platform that redefines where and how AI is used by expanding inference from ...

As AI applications increasingly permeate enterprise operations, from enhancing patient care through advanced medical imaging to powering complex fraud detection models and even aiding wildlife ...

While the first phase of the AI gold rush was defined by massive investments in centralized data centers, 2026 is about ...

AI inference deployments are increasingly focused on the edge as manufacturers seek the consistent latency, enhanced privacy, and reduced operational costs they can’t achieve in cloud-based ...

The edge is a dynamic environment where data is created by a multitude of devices—sensors, cameras, IoT devices, and more. Managing and orchestrating applications across far-flung edge locations can ...

NTT unveils AI inference LSI that enables real-time AI inference processing from ultra-high-definition video on edge devices and terminals with strict power constraints. Utilizes NTT-created AI ...

Under the MOU, Blaize and Nokia intend to collaborate on: ...