Vamsi Chemitiganti

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data, rather than relying on a centralized cloud data center. This allows for faster response times, reduced latency, and improved bandwidth efficiency

Edge computing is reshaping the way we process and leverage data. By bringing computation closer to the data source, it delivers real-time responsiveness, reduces latency, enhances privacy and security, and offers scalability—all while optimizing bandwidth and reducing costs.

Gen AI encompasses a class of machine learning techniques that aim to create data, such as images, text, audio, and more, that is similar to data seen in the training process.

Notably, this marks the second consecutive year in which Amazon Web Services (AWS) has been prominently cited by Telco SPs as the preferred cloud provider with whom they are actively engaged or planning to collaborate in the near future.

This blog post will explore what generative AI can provide in terms of solutions that can aid 5G network planners.

4G was introduced in 2010, and 5G is still under development, but it is expected to be widely available in the next few years.

By incorporating these hardware accelerators into 5G RAN infrastructure, network operators can meet the demanding performance requirements of 5G, deliver ultra-low latency, and support the massive number of connected devices expected in the era of the Internet of Things (IoT).

Despite challenges with cost and use cases, industry and carriers are committed to deploying 5G as soon as commercially possible.

A few weeks ago, McKinsey & Company released a report titled “The Economic Potential of Generative AI: The Next Productivity Frontier. Generative AI is a type of artificial intelligence (AI)…

Containerization (and the CNCF from a standards body) is driving increased adoption of platforms, which can be valuable assets for organizations that are looking to improve their agility, reduce their costs, and improve the quality of their applications and services.