If you're looking for a platform to rapidly deploy and scale AI workflows, Anyscale is a top contender. It delivers top performance and efficiency with features like workload scheduling, cloud support, intelligent instance management and GPU and CPU fractioning for better resource allocation. Based on the open-source Ray framework, Anyscale supports a broad range of AI models and comes with native support for popular IDEs and persisted storage. It also has a free tier and customizable pricing with volume discounts, so it's a good fit for companies large and small.
Another top contender is Clarifai, an AI workflow orchestration platform that lets companies develop, manage and operationalize AI projects at scale. It streamlines the process of taking AI prototypes to production, standardizing workflows and increasing efficiency. Clarifai has features like automated data labeling, retrieval augmented generation and generative AI, and is particularly useful for operationalizing AI, digital asset management and content moderation. The platform also comes with a wealth of resources, making it accessible to no-code and low-code users.
For a more specific focus on LLM workflows, AirOps combines user data with more than 40 AI models to help businesses grow in e-commerce, marketplaces, content teams and product development. It offers scalable workflows with error tracking and human oversight, and supports Zapier and webhooks for deployment and scaling. AirOps is particularly useful for SEO and SEM, creating original content, and prototyping and shipping AI features fast, with a variety of pricing tiers to accommodate different business needs.
Last, Salt AI is a platform for rapidly developing and deploying AI workflows with a focus on scalability and ease of use. It lets developers deploy workflows to Discord or as APIs without setup pain and has features like Perplexity-like Search and Context Aware LLM Chat. Salt AI is good for testing AI workflows like chatbots, image upscaling and text-to-image generation, so it's a good fit for developers trying to accelerate innovation.