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Exam NCA-AIIO Topic 4 Question 46 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 46
Topic #: 4
A customer is evaluating an AI cluster for training and is questioning why they should use a large number of nodes. Why would multi-node training be advantageous?

Suggested Answer: A Vote an answer

Multi-node training is advantageous when a model's size-its parameters, activations, and gradients- exceeds the memory capacity of a single GPU. By sharding the model across multiple nodes (using techniques like data parallelism or model parallelism), training becomes feasible and efficient. User count and inference scale are unrelated to training architecture needs, which focus on compute and memory distribution.
(Reference: NVIDIA AI Infrastructure and Operations Study Guide, Section on Multi-Node Training Benefits)

by sv at Dec 29, 2025, 09:39 AM

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sv
2025-12-29 09:39:03
Why is multi node better than Scaling up and adding more GPUs on the same node ?
upvoted 1 times
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Here are all the actual test exam dumps for IT exams. Most people prepare for the actual exams with our test dumps to pass their exams. So it's critical to choose and actual test pdf to succeed.

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