Question: Is there an AI platform that offers a range of open-source and proprietary language models, with the ability to integrate with my existing infrastructure?

If you're looking for an AI platform that offers a variety of open-source and proprietary language models, H2O.ai could be a good option. It spans both generative and predictive AI to boost productivity and offers a modular foundation for a variety of business needs. The platform includes modules like H2O-Danube for offline edge devices, H2O Generative AI for content analysis and generation, and Multi-modal Document AI for extracting insights from various documents. It can run in fully managed cloud, hybrid, on-premises and air-gapped environments, so you can integrate it with your existing infrastructure.

Another good option is Lamini, an enterprise-focused LLM platform for software teams. Lamini lets you train, manage and deploy LLMs on your own data, with features like memory tuning for high accuracy and deployment on air-gapped and other environments. It has free and enterprise tiers, and can be installed on-premise or in the cloud, so you can scale to thousands of LLMs.

Predibase offers a low-cost foundation for fine-tuning and serving LLMs. It supports a variety of open-source models and has a pay-as-you-go pricing model. Predibase also comes with features like free serverless inference and SOC-2 compliance for enterprise-grade security, making it a good option for developers who want to integrate language models with their existing infrastructure.

For those who want a highly customizable and self-hosted option, Zerve offers a platform to deploy and manage GenAI and LLMs in your own environment. It comes with an integrated environment with notebook and IDE functionality, fine-grained GPU control and support for multiple programming languages. Zerve also can be self-hosted on AWS, Azure or GCP instances, so you have full control over your data and infrastructure.