If you're looking for a DataRobot AI Platform alternative, Clarifai is another option. It has AI workflow orchestration that lets companies create, manage and run AI projects at scale. The platform supports modern AI technologies like Large Language Models, Generative AI and Retrieval Augmented Generation, so you can easily move AI prototypes into production. Clarifai also has automated data labeling, content moderation and generative AI features that can lower development costs and speed up work.
Another option is Anyscale, which is designed to develop, deploy and scale AI applications. Based on the open-source Ray framework, Anyscale supports a variety of AI models and runs on a variety of cloud environments. Features include smart instance management, GPU and CPU fractioning and heterogeneous node control to optimize resource usage and lower costs. Anyscale also has native integrations with popular IDEs and detailed security and governance controls, making it a good option for enterprise use cases.
If you're interested in model management and pipeline orchestration, Dataloop is another option. The platform combines data curation, model management and pipeline orchestration with human feedback integration. It can be used to deploy and manage AI models and automatically preprocess and embed data to find similarity. Dataloop also has a marketplace for pre-trained models and pipelines, so you can get a broad set of tools and integrations to help with collaboration and development.
Last, NVIDIA AI Platform is a full-stack innovation designed to turn companies into AI companies. It's an all-in-one AI training service with accelerated infrastructure and enterprise software, streamlining the entire AI workflow. The platform supports multi-node training, data science pipeline acceleration and the deployment of production AI applications, making it a good option for businesses that want to build AI into their operations.