+ "long_description": "With [IBM watsonx.ai](https://dataplatform.cloud.ibm.com/docs/content/wsj/getting-started/overview-wx.html?context=wx&audience=wdp#watsonxai), you can build, train, and deploy AI models at scale in a secure, enterprise-grade environment. This deployable architecture provisions watsonx.ai Studio, Runtime, and a key-encrypted project with storage delegation for Object Storage. It also includes optional tools for key encryption and observability, giving you everything you need to manage your watsonx.ai deployment with confidence. \n\nLeverage [Terraform IBM Modules](https://github.com/terraform-ibm-modules) to shape and scale your solutions. You can integrate Terraform IBM Modules (TIM) to extend functionality and design a solution tailored to your environment and operations needs.These modules offer reusable, customizable elements that follow IBM Cloud's recommended practices. You can access the [source code and documentation](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-ai) and use it to extend your current architecture or create new solutions. \n\nℹ️ This Terraform-based automation is part of a broader suite of IBM-maintained Infrastructure as Code (IaC) assets, each following the naming pattern \"Cloud automation for *servicename*\" and focusing on single IBM Cloud service. These single-service deployable architectures can be used on their own to streamline and automate service deployments through an [IaC approach](https://cloud.ibm.com/docs/secure-enterprise?topic=secure-enterprise-understanding-projects), or assembled together into a broader [automated IaC stack](https://cloud.ibm.com/docs/secure-enterprise?topic=secure-enterprise-config-stack) to automate the deployment of an end-to-end solution architecture.",
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