Machine learning is a multi-step process. For beginners, it can be a daunting endeavor. For seasoned professionals, it can be a challenge, as well. Our SuperHub connects the software for a fully functional machine learning pipeline in minutes. We deliver unmatched levels of automation and ease-of-use for your machine learning initiatives. Data scientists get back time to focus on the modeling tasks and not infrastructure operations.
A value we bring to you is the curation and composition of elements needed in the standard ML pipeline:
An effort to create a sufficiently scalable solution could take an engineer months. We can deploy your machine learning stack through our automation platform in under an hour. Achieving your company's strategic AI initiative is now available in a safe, easy, and reliable platform. The Machine Learning Stack incorporates open, standard software for machine learning: Kubeflow, TensorFlow, Keras, PyTorch, Argo, and others. At the core of Machine Learning Stack is the open source Kubeflow platform, enhanced and automated using AgileStacks' own security, monitoring, CI/CD, workflows, and configuration management capabilities.
With Agile Stacks, you can compose as many machine learning frameworks you need to iterate in a fast changing subject. We understand your needs will change. We will meet you at the intersection of innovation and applied AI.
The service categories provided below group the function sets necessary to build scalable machine learning templates.