The combination of AI and edge computing is catalyzing this transformation, enabling cities to evolve into smarter, safer and ...

As CIOs build AI-ready organizations the balance between public cloud and data center is tilting back toward on-premise ...

Edge computing enables data to be analyzed where it’s created—in stores, warehouses, and even in consumer-facing devices.

Edge computing is witnessing a significant interest with new use cases, especially after the introduction of 5G. The 2021 State of the Edge report by the Linux Foundation predicts that the global ...

Figure 9: The next generation of server SoCs and the addition of AI accelerators will make edge computing even faster. Conclusion Edge computing is a very important aspect of enabling faster ...

Overall, a successful edge computing infrastructure requires a combination of local server compute capabilities, AI compute capabilities, and connectivity to mobile/automotive/IoT computing systems ...

From AI to UCaaS, here are the five most important cloud communication trends for business communications in 2025. The ...

HPC at the edge — bringing computing power closer to the data center — empowers real-time applications for generative AI software, AR/VR and more.

AI has become pervasive across enterprises, and the drive is now on to push this potentially powerful intelligence out to the edge and network, where it can deliver insight and operational performance ...

By embedding AI into edge computing devices, agencies can bring AI’s immense power out to the field and more reliably provide advanced insight no matter where the mission goes.

AI algorithms running on edge devices now offer real-time insights and actions that can improve response times. ... 5G and Edge Computing: What's Next.