slai

Slai, now known as Beam, is a platform designed to simplify the deployment and management of applications, particularly those requiring GPU resources. It offers a straightforward REST API deployment process, complete with built-in features such as authentication, autoscaling, logging, and metrics. This makes it an ideal solution for developers looking to execute long-running tasks, including GPU-based training processes, with the flexibility to choose between one-time or scheduled automated retraining.

Beam allows users to deploy functions to a task queue, enabling automated retries, callbacks, and task status queries. Additionally, it provides customizable autoscaling rules, giving users control over maximum waiting times. This level of control and automation helps streamline development workflows, allowing developers to focus more on coding and less on infrastructure management.

The platform is well-suited for applications that require dynamic resource allocation, such as machine learning model training and inference. By leveraging serverless architecture, Beam offers cost efficiency and scalability, making it a viable option for projects with varying computational demands. Its features support a range of use cases, from AI and machine learning to data processing and scientific simulations, by providing on-demand access to GPU resources without the need for dedicated server management.