Outerbounds
Outerbounds offers a platform for deploying and executing ML apps on scalable infrastructure, supporting various cloud environments and integrating with Metaflow.
Services
Outerbounds provides a platform designed for executing and deploying machine learning (ML) applications on scalable, enterprise-grade infrastructure. The platform offers cloud workstations, a user-friendly API, and tools for versioning and tracking. It supports production workflows, experimentation, and deployment, all with built-in security and compliance. The service is fully managed and facilitates seamless data access and computation at scale, including the use of GPUs for artificial intelligence (AI) applications.
Infrastructure and Cloud Support
Outerbounds' platform is compatible with all major cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. It also supports multi-cloud environments, offering flexibility and scalability to meet diverse enterprise needs. This broad compatibility ensures that organizations can integrate Outerbounds into their existing cloud strategies without requiring major changes to their infrastructure.
Integration with Metaflow
Outerbounds integrates seamlessly with Metaflow, an open-source framework that simplifies the development of machine learning and data science projects. This integration allows users to leverage Metaflow's capabilities for managing experiments, orchestrating workflows, and scaling computations effortlessly. By combining Outerbounds' infrastructure with Metaflow, users can accelerate the development and deployment of ML systems.
Community and Educational Resources
Outerbounds provides extensive resources and community support tailored to both the data science and engineering aspects of ML/AI. The company hosts events and offers educational content, such as tutorials and how-to guides, to help users get the most out of their platform. This commitment to community and education ensures that users have the knowledge and support they need to successfully implement and maintain their ML projects.