A wheelwright intern offers to “make the vision stack faster by writing a kernel.” What is the associate implementation stance?
Select an answer to reveal the explanation.
Short Explanation
Speed at associate level means using the framework’s GPU path—not carving a custom kernel. Stay on modules and official services.
Full Explanation
NCA-GENM associate implementation stays at the framework and official-service level, including GPU-aware execution. Writing CUDA kernels or NCCL topologies is out of scope. Deferring all GPU use is unnecessary; refusing kernel work while using the framework correctly is the right stance.