If you're looking for a different Remyx AI alternative, Abacus.AI is another good option. The platform lets developers create and run large-scale applied AI agents and systems, including generative AI and other neural network approaches. It offers a range of products, including ChatLLM for building language models, AI Agents for automating processes, and predictive systems for things like forecasting and anomaly detection. Abacus.AI is designed to be easy to integrate into applications, with features like high availability, governance and compliance.
Another option is Airtrain AI, a no-code compute platform geared for data teams that need to manage big data pipelines and large language models. It comes with an LLM Playground for testing models, a Dataset Explorer for data visualization and AI Scoring for model evaluation. With its Community Support system and multiple pricing plans, Airtrain AI is a flexible option for quickly testing, fine-tuning and deploying custom AI models.
For developers who need fast, scalable and secure access to a wide range of AI models, AIML API could be a good option. The platform offers more than 100 AI models through a single API, with features like serverless inference and a pay-by-token pricing model. AIML API is designed for high scalability, reliability and ease of integration, making it a good option for sophisticated machine learning projects that need fast and cheap access to AI models.
If you need a platform that gives you more control over AI deployment and management, check out Zerve. Zerve lets you deploy and manage GenAI and LLMs in your own architecture, blending open models, serverless GPUs and your own data. It's got an integrated environment with notebook and IDE functionality, fine-grained GPU control and support for multiple programming languages. Zerve is designed to let data science teams balance collaboration and stability, with a free community plan and custom enterprise plans.