試験NCA-AIIO トピック2 問題25 スレッド
NVIDIA NCA-AIIOのリアル試験問題集
問題 #: 25
トピック #: 2
問題 #: 25
トピック #: 2
A healthcare company is training a large convolutional neural network (CNN) for medical image analysis.
The dataset is enormous, and training is taking longer than expected. The team needs to speed up the training process by distributing the workload across multiple GPUs and nodes. Which of the following NVIDIA solutions will help them achieve optimal performance?
The dataset is enormous, and training is taking longer than expected. The team needs to speed up the training process by distributing the workload across multiple GPUs and nodes. Which of the following NVIDIA solutions will help them achieve optimal performance?
おすすめの解答：B 解答を投票する
Training a large CNN on an enormous dataset across multiple GPUs and nodes requires efficient communication and data handling. NVIDIA NCCL (NVIDIA Collective Communications Library) optimizes inter-GPU and inter-node communication, enabling scalable data and model parallelism, while NVIDIA DALI (Data Loading Library) accelerates data loading and preprocessing on GPUs, reducing I/O bottlenecks.
Together, they speed up training by ensuring GPUs are fully utilized, a strategy central to NVIDIA's DGX systems and multi-node AI workloads.
cuDNN (Option A) accelerates CNN operations but focuses on single-GPU performance, not multi-node distribution. DeepStream SDK (Option C) is tailored for real-time video analytics, not training. TensorRT (Option D) optimizes inference, not training. NCCL and DALI are the optimal NVIDIA solutions for this distributed training scenario.
Together, they speed up training by ensuring GPUs are fully utilized, a strategy central to NVIDIA's DGX systems and multi-node AI workloads.
cuDNN (Option A) accelerates CNN operations but focuses on single-GPU performance, not multi-node distribution. DeepStream SDK (Option C) is tailored for real-time video analytics, not training. TensorRT (Option D) optimizes inference, not training. NCCL and DALI are the optimal NVIDIA solutions for this distributed training scenario.
Miyano 2026-06-08 03:25:27
コメント
他人の解答コメントを賛成するのも、その解答に一票を入れることになります。したがって、すでに同じ意見の投票コメントが存在する場合、新規コメントをする代わりに賛成することもできます。
コメントを通報する
コメント中
今すぐ 新規登録 / ログイン （無料です）。