Container Architecture

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…

In Part 4 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Netflix’s machine learning…

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

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.