If you need a platform to run AI at scale, Clarifai has a full suite of tools for designing, running and managing AI projects in the cloud, on-premises or air-gapped environments, and using the latest AI technologies like Large Language Models and Generative AI. Clarifai streamlines the process of moving AI prototypes into production, standardizing workflows and increasing productivity, and is designed to be accessible to no-code and low-code users.
Another good option is Anyscale, which lets you build, run and scale AI applications. Its Ray open-source framework is the foundation for workload scheduling, cloud flexibility and intelligent instance management. It supports a variety of AI models and can help you cut costs with more efficient use of resources. The service also includes features like user management, billing controls and integration with popular integrated development environments, or IDEs, so it's good for enterprise use.
If you want a full-stack AI platform, NVIDIA AI Platform is a good option. It combines accelerated infrastructure, enterprise software and AI models to automate the entire AI workflow. The platform includes multi-node training, generative AI capabilities and tools for building production-ready text, visual media and biology-based applications, so businesses can build AI into their workflow and scale applications efficiently.
Last, Abacus.AI offers a flexible platform for building and running applied AI agents and systems at scale. It includes features like ChatLLM, AI Agents and predictive systems, and has tools for various industries like forecasting, anomaly detection and personalization AI. The platform is designed to automate complex tasks and improve business operations, making AI more easily embeddable into applications.