If you're looking for a platform to accelerate AI project development and deployment with higher accuracy and faster turnaround times, the NVIDIA AI Platform is a great option. It's an integrated AI training service that can be accessed through a browser, accelerating projects with higher accuracy and faster turnaround times. The platform combines accelerated infrastructure, enterprise-grade software and AI models to simplify the entire AI workflow, so you can easily scale business applications and deploy production-ready AI applications.
Another great option is Anyscale, which is based on the open-source Ray framework. Anyscale supports a broad range of AI models, including LLMs, traditional models and custom generative AI models. It includes workload scheduling with queues, cloud flexibility, smart instance management and GPU and CPU fractioning for optimal resource utilization. This platform is designed to deliver the best performance and efficiency, with customers reporting up to 50% cost savings on spot instances.
For a platform that unifies generative and predictive workflows, DataRobot AI Platform is a top contender. It lets you quickly build and deploy AI solutions and govern assets, with deep ecosystem integration across multiple cloud environments and systems. DataRobot has been named a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, with real-world results like 75% faster deployment and 2.7X higher analytics productivity.
Last, Dataloop is an AI development platform that speeds up AI application development by combining data curation, model management, pipeline orchestration and human feedback. It includes data management for exploring and analyzing vast amounts of unstructured data, automated preprocessing and model management for deploying and managing AI models. With Dataloop, customers can expect 20x faster development, 70% time savings and 10x higher quality, making it a powerful tool for improving collaboration and speeding up development.