Containers

Amazon’s AI infrastructure strategy stands out with its unique dual role: it serves as both a massive internal consumer of AI/ML technologies and the leading provider of cloud-based AI/ML services…

Large banks face a significant technical challenge: building AI and machine learning infrastructure that serves diverse business needs across the enterprise. From fraud detection systems using traditional ML models to…

This blogpost continues our ongoing series on vamsitalkstech.com about next-generation wireless technology (aka 6G). In this post, we examine the architectural foundations of 6G networks, following up on concepts introduced…

As telecommunications networks undergo a transformation towards 5G and the forthcoming 6G architectures, the adoption of cloud-native network functions (CNFs) becomes paramount. These CNFs, designed to operate within cloud environments,…

The rise of Generative AI models is fueling a surge in building multi-tenant chatbots. These chatbots can be customized for each client (tenant) with their specific needs and data, while still running efficiently on familiar, cost-effective infrastructure.

Containerization is a software deployment method that packages an application’s code with all the files and libraries it needs to run on any infrastructure

Containerization and Kubernetes are driving the industry toward the development of cloud-shared service platforms for several reasons.

This blog post outlines the key questions to ask when deciding to refactor or platform an application to move to the cloud.

Cluster autoscaling is typically the easiest autoscaler to configure and to use. However there may be situations where it may not be the best option for an application.

To break this out into numbers, a typical CSP will deploy hundreds of thousands of network services as virtual network functions (VNFs) or CNFs. VNFs will run in virtual machines that can optionally be run inside a Kubernetes distribution.