Category: AI Infrastructure

Machine Learning Platform

A machine learning platform is a set of software tools and services that help people build, train, test, and deploy machine learning models. It usually provides features like data processing, model building, training on different computers, and managing models after they are built. These platforms are designed to make machine learning easier and faster, even…

Online Training Platform

An online training platform is a digital system that allows people to access educational courses, materials and resources over the internet. These platforms can be used by schools, businesses or individuals to deliver lessons, track progress and manage learning activities. Users can often learn at their own pace, complete quizzes or assignments and earn certificates…

Architecture Scalability Planning

Architecture scalability planning is the process of designing technology systems so they can handle increased demand without major changes or disruptions. It involves anticipating growth in users, data, or workload and making sure the system can expand smoothly. This planning helps prevent performance issues and costly redesigns in the future.

Model Deployment Automation

Model deployment automation is the process of using tools and scripts to automatically move machine learning models from development to a production environment. This reduces manual work, speeds up updates, and helps ensure that models are always running the latest code. Automated deployment can also help catch errors early and maintain consistent quality across different…

Cloud Workload Optimization

Cloud workload optimisation is the process of making sure that applications and tasks running in a cloud environment use resources efficiently. This includes managing how much computing power, storage, and network capacity each workload needs, so that costs are kept low and performance stays high. By monitoring and adjusting resources as needed, organisations avoid waste…

Automation Scalability Frameworks

Automation scalability frameworks are structured methods or tools designed to help automation systems handle increased workloads or more complex tasks without losing performance or reliability. They provide guidelines, software libraries, or platforms that make it easier to expand automation across more machines, users, or processes. By using these frameworks, organisations can grow their automated operations…

Off-Chain Computation

Off-chain computation refers to processing data or running programs outside a blockchain network. This approach helps avoid overloading the blockchain, as blockchains can be slow and expensive for complex calculations. By keeping heavy computations off the main chain, systems can work faster and more affordably, while still making sure important results are shared back to…

Architecture Decision Records

Architecture Decision Records, or ADRs, are short documents that capture decisions made about the architecture of a software system. Each record explains what decision was made, why it was chosen, and any alternatives that were considered. ADRs help teams keep track of important technical choices and the reasons behind them, making it easier for current…

Model Serving Architectures

Model serving architectures are systems designed to make machine learning models available for use after they have been trained. These architectures handle tasks such as receiving data, processing it through the model, and returning results to users or applications. They can range from simple setups on a single computer to complex distributed systems that support…