In the future, SLMat's capabilities can be further enhanced by integrating it with in-house computing clusters or cloud providers , offering a hybrid approach that combines the flexibility of serverless architecture with the power of dedicated computational resources. This integration would allow researchers to seamlessly scale their workloads, leveraging local clusters for high-performance tasks while utilizing cloud resources for additional scalability and storage as needed.