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Exam NCA-GENL Topic 9 Question 65 Discussion

Actual exam question for NVIDIA's NCA-GENL exam
Question #: 65
Topic #: 9
What are some methods to overcome limited throughput between CPU and GPU? (Pick the 2 correct responses)

Suggested Answer: B,C Vote an answer

Limited throughput between CPU and GPU often results from data transfer bottlenecks or inefficient resource utilization. NVIDIA's documentation on optimizing deep learning workflows (e.g., using CUDA and cuDNN) suggests the following:
* Option B: Memory pooling techniques, such as pinned memory or unified memory, reduce data transfer overhead by optimizing how data is staged between CPU and GPU.
References:
NVIDIA CUDA Documentation: https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html NVIDIA GPU Product Documentation:https://www.nvidia.com/en-us/data-center/products/

by Lennon at Dec 26, 2025, 02:19 AM

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