If you're looking for a competitor to NVIDIA AI Platform, DataRobot AI Platform is another option. It unifies generative and predictive workflows so people can rapidly develop and deploy AI models. With enterprise monitoring and control, full visibility, and deep ecosystem integration, DataRobot offers a flexible AI ecosystem that can dramatically accelerate AI projects. It's been named a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms.
Another option is Clarifai, an AI workflow orchestration platform that makes it easier to take AI prototypes to production. It can run on-premises, air-gapped or in the cloud and supports modern AI technologies like Large Language Models and Retrieval Augmented Generation. Clarifai's automated data labeling and lower infrastructure costs make it a good option for operationalizing AI at scale.
If you need a platform for large-scale AI agent development, Abacus.AI is another option. It offers a range of products and features, including ChatLLM for creating LLM apps and AI Agents for automating complex workflows. Abacus.AI supports high availability, governance and compliance, so it's a good option for enterprise AI use. It also offers a variety of predictive and analytical tools.
Last, ThirdAI is a cloud-based platform that makes large language models and other AI technology available without requiring custom hardware. It includes tools for document intelligence, customer experience improvement and generative AI for summarizing documents. ThirdAI's simple interface and tiered pricing plans make it a good option for adding AI to your existing workflow with a minimum of setup hassle.