Question: Is there a platform that can help me reduce costs by automatically selecting the least expensive AI engine for a given task while maintaining performance?

For cutting costs by automatically selecting the cheapest AI engine for a particular job while preserving performance, Eden AI is a top contender. The platform lets customers orchestrate multiple AI models and embed them into their business processes. Eden AI presents a single API that wraps all the AI models, letting customers switch from one provider to another without being tied to a single vendor. That can mean cost savings by selecting the cheapest AI engine that still meets performance requirements, and it's available to any business.

Another top contender is Anyscale, which is geared for building, running and scaling AI applications. Based on the open-source Ray framework, Anyscale supports a variety of AI models, including LLMs and custom generative AI models. It includes workload scheduling, cloud flexibility and smart instance management that can cut costs by up to 50% on spot instances. The company's pricing is flexible, with a free tier and custom plans, and it's geared for a range of enterprise needs.

Together is another strong contender, in particular for companies that want to build private AI models into their products. It's a cost effective way to get to enterprise use with scalable inference and collaborative tools for fine-tuning models and testing. Together promises big cost savings compared to other suppliers, so it's a good option for companies that want to squeeze the most out of their AI deployment costs.

For developers who prefer a decentralized approach, AIxBlock is a blockchain-based platform that can cut compute costs by as much as 90%. It comes with tools like Jupyter Notebook, Docker and Kubernetes to make it easy to build, deploy and monitor AI models. The decentralized marketplace for AI and ML models means secure, transparent and frictionless transactions for AI builders and suppliers.