Before you start implementing the components of the Private AI Ready Infrastructure for VMware Cloud Foundation validated solution, you must ensure the environment has a specific compute, storage, and network configuration, and provides external services to the components of the solution.
To capture environment specific input values that are required during the implementation, use the VMware Cloud Foundation Planning and Preparation Workbook .
Carefully review the VMware Cloud Foundation Planning and Preparation Workbook ahead of implementation to avoid costly rework and delays. Capture input values that are specific to your environment and verify that the components, required by this solution, are available.
Ensure that any GPUs or specialized high speed networking adapters that will be used are supported by VMware Cloud Foundation 5.1.1 according to VMware Compatibility Guide for Shared Pass-Through Graphics. GPU support depends on the technology used, e.g. NVIDIA vGPU (Shared Direct Mode) or passthrough. To verify that your device is supported for AI and Machine Learning use cases, on the VMware Compatibility Guide page, apply the following filter:
| VMware Compatibility Guide Filter | Value |
|---|---|
| GPU Technology | Compute |
| Comput | AI/ML |
To confirm vGPU support for your GPU for VMware Cloud Foundation, see NVIDIA® Virtual GPU (vGPU) Software Documentation.
