Question: Can you recommend a platform that enables the development of Generative AI applications at an enterprise scale?

If you need a foundation for building generative AI apps at scale, Aible is a good option. Aible offers fast and secure generative AI applications that can deliver results in as little as 30 days, with scalability and reliability for more than 1200 businesses. Features include fast time-to-delivery, hallucination double-check, and auto-improvement, and it's designed to be easy for business teams to use even if they don't have deep technical expertise. Aible integrates with big cloud companies to keep data private and secure.

Another good option is Abacus.AI, which lets developers create and run applied AI agents and systems at large scale with generative AI and other modern neural network techniques. The service can be used to build large language model (LLM) apps, AI agents that automate complex processes and predictive systems for forecasting and anomaly detection. It's designed for high availability, governance and compliance, so it's a good choice for businesses that need to automate complex work and predict what's likely to happen.

If you want a full-on solution, check out NVIDIA AI Platform. The service turns businesses into AI companies by offering a one-stop AI training service that can be accessed through a web browser. It speeds up the entire AI workflow with accelerated infrastructure, enterprise software and AI models. The service is designed to make it easier to develop and deploy production AI applications, so businesses can more easily adopt AI and scale applications.

Last, Clarifai has a workflow orchestration platform that lets companies build, manage and operate AI projects at scale. It can be deployed on-premises, air-gapped or in the cloud and incorporates modern AI techniques like Large Language Models and generative AI. Clarifai makes it easier to move AI prototypes into production, standardize workflows and increase efficiency, and it can be used for a variety of use cases like digital asset management and content moderation.