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When the AI models have been developed, the next stage is to verify and validate them. The combination of the AMD DRD architecture, partner software applications, open- source applications, and partner hardware make up the Dell Automotive Reference Architecture.
The following figure shows that the ADAS/AD stack consists of partner simulation applications and a user-supplied virtual ECU (vECU) in the application layer. MathWorks is a possible vECU development partner. The hardware layer at the bottom of the stack consists of partner ECU hardware or a partner HiL Rig. Additional compute and storage from Dell Technologies lay the cornerstone for the DARA architecture.
Figure 4. Adding the ADAS/AD software stack to the existing DRD for AI software stack
The following figure shows how to extend what you already have in the AMD DRD into the ADAS/AD stack to form a complete starter kit that lays the foundation for a scale-out architecture.
Figure 5. AMD for AI training and ADAS/AD stack combined into a cohesive platform
The starter or base kit can scale in different dimensions depending on customer requirements. Scalable Units (SU) of compute, storage, physical ECU hardware, or HiL Rigs are added to the starter kit to keep pace with the increasing project demands. The figure also shows that the ADAS/AD stack can use the existing software stack being used for AI model creation and development. Creating a modular architecture such as DARA allows for applications, AI framework choices, and customizations to change based on workload variability, differing ECU types, and existing or new simulation applications.