👉 Boost Computing is an open-source, containerized platform for deploying and managing machine learning models at scale, designed to simplify the process of building, training, and deploying AI applications. It leverages Kubernetes for orchestration, enabling efficient resource utilization and seamless scaling across various environments. Boost provides a unified interface for managing models, data, and infrastructure, supporting multiple frameworks like TensorFlow, PyTorch, and ONNX. It includes features such as automated model serving, versioning, monitoring, and logging, making it accessible for both developers and enterprises. By abstracting the complexities of infrastructure management, Boost allows users to focus on developing and deploying high-quality AI solutions.
