Deploying machine learning models efficiently is necessary for numerous applications. However, traditional frameworks like PyTorch have their share of problems, including their size, slow instance creation on a cluster, and reliance on Python that can result in performance challenges. There's a clear need for a minimalistic and efficient solution. Despite the existence of alternative solutions…
