Requirements

ML Execution		status: valid security: NO safety: QM
reqtype: Functional satisfies: stkh_req__ai_platform__enablement
The platform shall support the execution of traditional ML models on embedded automotive hardware.
feat_req__ai_platform__workloads_execution		Feature Requirement

ASIL-B ML Inference		status: valid security: NO safety: ASIL_B
reqtype: Functional satisfies: stkh_req__ai_platform__safety_critical
The platform shall support deployment of safety-certified inference backends and abstraction layers for ASIL-B use cases.
feat_req__ai_platform__safety_backends		Feature Requirement

Efficient Embedded Runtime		status: valid security: NO safety: QM
reqtype: Non-Functional satisfies: stkh_req__ai_platform__runtime_efficiency
The platform shall optimize runtime performance and memory usage to meet the constraints of automotive edge hardware.
feat_req__ai_platform__embedded_efficiency		Feature Requirement

Cross-OS Portability		status: valid security: NO safety: QM
reqtype: Non-Functional satisfies: stkh_req__ai_platform__platform_portability
The platform shall support portable AI components that run on both QNX (ASIL-B) and Linux environments.
feat_req__ai_platform__qnx_linux_support		Feature Requirement

Verified Model Execution		status: valid security: YES safety: QM
reqtype: Functional satisfies: stkh_req__ai_platform__model_security
The platform shall ensure model artifacts are verified via cryptographic signatures before execution, and model loading is restricted to trusted paths.
feat_req__ai_platform__model_verification		Feature Requirement

Static Backend Selection		status: valid security: NO safety: ASIL_B
reqtype: Functional satisfies: stkh_req__ai_platform__runtime_determinism
The platform shall select inference backends statically at build time to ensure deterministic runtime behavior.
feat_req__ai_platform__static_backend		Feature Requirement