If you're looking for a different Predibase alternative, Tromero is a powerful platform for training and deploying AI models. Tromero lets you move from GPT-4 to your own AI models, which can be much cheaper and more secure since you have full control over your data. It comes with a Tailor tool for fast model training, a Playground for experimenting with fine-tuned or open-source models, and GPU Clusters for large-scale, secure and performant AI/ML workloads.
Another good alternative is Lamini, an enterprise-focused platform for training and deploying LLMs on your own data. Lamini has features like memory tuning for better accuracy, deployment to different environments, and high-throughput inference. It supports model selection, tuning and inference, and can be self-hosted on-premise or in the cloud, making it good for small and large-scale AI projects.
Zerve is another option. It lets you run and manage GenAI and LLMs in your own infrastructure, giving you more control and faster deployment. Zerve combines open models, serverless GPUs and your own data, offering fine-grained GPU control and unlimited parallelization for the best compute and collaboration tools. It's self-hosted on major cloud providers like AWS, Azure and GCP so you have full control over your data and infrastructure.
If you prefer a more collaborative approach, Humanloop offers a platform to develop and optimize LLM applications. It offers a collaborative playground for AI feature development, an evaluation and monitoring suite for debugging, and tools to integrate your private data and fine-tune models. Humanloop supports popular LLM providers and offers free and enterprise pricing tiers, so it's good for a range of use cases.