DigitalOcean has launched GradientAI, a comprehensive AI cloud platform designed to streamline the development lifecycle for AI applications by integrating GPU infrastructure, intelligent agent development, and pre-built AI applications under a unified umbrella. This new platform aims to provide an end-to-end solution for AI workloads, allowing developers to train, fine-tune, deploy, and scale their projects seamlessly. By offering tools such as GPU Droplets, Bare Metal GPUs, vector databases, and serverless model integration, DigitalOcean GradientAI supports the building and monitoring of intelligent agents and prebuilt applications for specific use cases. The platform is set to evolve with additional features like the Model Context Protocol (MCP), multi-modal capabilities, and expanded GPU offerings to enhance performance and affordability. Existing projects will continue without disruption, and the company plans to roll out updates across their website, cloud console, and documentation to reflect the new GradientAI identity.