A clocktower office hears that “Riva is using the GPU,” and an intern offers to write a custom CUDA kernel “to make the experiment fair.” What is the correct associate response?
Select an answer to reveal the explanation.
Short Explanation
Riva already runs speech on the GPU—you do not invent a new engine part to “make the race fair.” Custom CUDA kernels are out of scope. Ride the accelerated service and run the ASR/TTS experiment on top.
Full Explanation
At associate depth, candidates know Riva ASR/TTS use GPU acceleration without authoring kernels. Fairness in a customization experiment comes from controlled speech variables and fixed evaluation audio, not from rewriting CUDA or redesigning collectives. Kernel and fabric work belong to other exam families.