If you need a cloud-based service to upload and deploy AI models at any time, Anyscale is a top contender. The service is geared for developing, deploying and scaling AI applications with features like workload scheduling, cloud flexibility and heterogeneous node control. It supports a variety of AI models and has a free tier with flexible pricing, making it a good option for businesses.
Another strong contender is Together, which is geared for fast and efficient development and deployment of generative AI models. It comes with optimizations like Cocktail SGD and FlashAttention to speed up AI model training and inference. Together supports a variety of models and promises big cost savings compared to other cloud providers, so it's a good option for companies that want to build private AI models into their products.
If you want a no-code or low-code approach, Instill is a streamlined generative AI platform. It lets teams focus on iterating AI use cases without worrying about the underlying infrastructure. Instill includes features like speech responses and webpage summarization, and with its drag-and-drop interface, it's easier to import and deploy AI models.
Modelbit is another contender, offering fast deployment of custom and open-source machine learning models to autoscaling infrastructure. It comes with MLOps tools for model serving and supports a wide range of ML models. With flexible pricing options, Modelbit is good for small or large-scale AI work.