If you're looking for a cloud service that offers a managed AI platform for training and deploying AI agents and generative AI models, Google Cloud is a good option. It has a range of tools and services for developers, including generative AI models, prebuilt solutions and Vertex AI, a managed AI service for training AI agents and generative AI apps. Google Cloud also offers a free trial period with $300 in free credits and free usage limits for more than 20 products, so it's a good option for companies of all sizes looking to modernize and digitally transform their businesses.
Another contender is Abacus.AI, an AI platform for training and running applied AI agents and systems at large scale. It has a range of products and features, including ChatLLM for training end-to-end RAG systems and AI agents for automating complex workflows. The service is designed for high availability, governance and compliance, so it's a good option for enterprise environments. It also has tools for large-scale data analysis, real-time forecasting and anomaly detection, among other things.
NVIDIA AI Platform is another good option, helping companies become AI companies with its one-stop AI training service. It combines accelerated infrastructure, enterprise software and AI models to accelerate the entire AI workflow. The service supports multi-node training, accelerates the data science pipeline and simplifies the development and deployment of production AI applications, making it a good option for companies that want to run AI at scale.
For a more flexible approach, Anyscale offers a platform for training, deploying and scaling AI applications. Built on the open-source Ray framework, Anyscale supports a broad range of AI models and has features like workload scheduling, smart instance management and resource optimization. The service is designed to offer the best performance and efficiency, with cost savings and flexible pricing options for different business needs.