Which of the following statements is true about GPUs and CPUs?
Answer(s): A
GPUs consist of many simpler cores designed for massive parallelism (e.g., thousands of threads), whereas CPUs use a few powerful cores optimized for sequential and branching workloads.
Which two components are included in GPU Operator? (Choose two.)
Answer(s): A,C
The NVIDIA GPU Operator automates the deployment of the GPU device driver and the NVIDIA Data Center GPU Manager (DCGM) for health monitoring and telemetry.
Which phase of deep learning benefits the greatest from a multi-node architecture?
Answer(s): B
Training deep learning model, especially large-scale ones, sees the biggest gains from spreading computation (forward/backward passes and gradient synchronization) across multiple nodes, dramatically reducing total time to convergence.
Which architecture is the core concept behind large language models?
Answer(s): C
The Transformer model underpins modern large language models, using self-attention layers and feed-forward networks in a stacked, encoder-decoder (or decoder-only) architecture to capture long-range dependencies efficiently.
What is a key value of using NVIDIA NIMs?
NVIDIA NIMs are packaged, GPU-accelerated inference microservices with industry-standard APIs that simplify and accelerate deploying AI models across clouds, data centers, and edge - enabling fast, turnkey AI inference without hand-crafting deployment pipelines.
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