- "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\n🔧 <b>Begin here and shape your own solutions using [Terraform IBM Modules](https://github.com/terraform-ibm-modules)</b>. This implementation provides a complete solution built with Terraform IBM Modules, which you can customize or extend for your needs. Each module is a reusable, tested and supported component following IBM Cloud best practices. Access the source code and documentation [here](https://github.com/terraform-ibm-modules/terraform-ibm-watsonx-ai) to tailor this architecture or create new solutions using these modules. \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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