If you need a foundation for running big AI models on CPUs without needing any GPUs, Numenta is worth a look. The company's NuPIC system is designed to run big AI models on CPUs, with abilities like real-time performance tuning, multi-tenancy and scaling. It's geared for tasks like gaming, customer service and document search, and is a high-performance, scalable foundation for AI that doesn't need GPUs.
Another good option is ThirdAI, which provides access to large language models and other AI technology without requiring any special hardware like GPUs. It also offers tools for document intelligence, customer experience and generative AI for summarizing documents. ThirdAI has a simple interface and tiered pricing plans that are designed to fit into existing operations and infrastructure.
Anyscale is another powerful foundation for building, deploying and scaling AI. Based on the open-source Ray framework, Anyscale supports a variety of AI models and can help you save money by fractioning jobs between GPUs and CPUs. With features like cloud flexibility, smart instance management and heterogeneous node control, Anyscale is a good option for companies that want to get the most out of their resources and make their AI operations more efficient.
Last, NuMind is a no-code platform for building text processing models that can run on a small CPU footprint. It supports multilingual models and has privacy protection, and can be used for tasks like sentiment analysis, entity recognition and content moderation. It has four pricing tiers, including options for educational projects and enterprise customers.