Question: Can you recommend an open-source engine that orchestrates AI workloads, including job scheduling, model deployment, and dev environment setup?

If you need an open-source engine to run your AI jobs, Anyscale is worth a serious look. Anyscale provides a full-fledged platform for developing, deploying and scaling AI workloads. It's got features like workload scheduling with queues, cloud support spanning multiple clouds and on-premise environments, intelligent instance management, and built-in support for popular IDEs. The platform supports a variety of AI models and offers cost optimization with intelligent resource allocation, making it a good choice for running AI workloads.

Another good option is dstack, which automates infrastructure setup for developing, training and deploying AI models on a variety of cloud providers and data centers. dstack makes it easier to set up and run AI workloads, letting you manage jobs, services and pools. It supports a variety of cloud providers and on-prem servers, and offers flexible deployment options, including self-hosted and managed versions.

If you're looking for a way to scale AI projects, Clarifai has an AI workflow orchestration platform. It supports a variety of AI technologies like Large Language Models and Generative AI, and makes it easier to take AI prototypes to production. Clarifai's automated data labeling, retrieval augmented generation and content moderation features make it a good choice for operationalizing AI in many industries.

Last, Dataloop offers a combination of data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It can handle a variety of data types, including images, videos and text, and offers a range of tools and integrations with popular cloud platforms. Dataloop is designed to improve collaboration, speed up development and ensure high quality, so it's a good option for companies trying to go all in on AI.