フリー問題

NVIDIA-Certified Professional: Generative AI LLMs のフリー問題 14 / 20 問目

問題文

A cluster has four nodes of eight devices each. Devices inside a node are joined by a fast interconnect; the nodes are joined by a much slower network. A model needs four devices' worth of memory for one layer's weights. Which assignment of the three parallelism axes fits the topology?

選択肢

  1. Split each layer's tensors across nodes so that the eight devices inside a node can each hold a different layer group, because putting the layer groups inside a node keeps the activations that pass between consecutive groups on the fast interconnect where the largest volume of traffic occurs.
  2. Replicate the model on every device and average gradients; replication needs no coordination inside a layer and the slower network only carries one collective per step.
  3. Split each layer's tensors within a node, place consecutive layer groups across nodes, and replicate the whole arrangement for the remaining capacity.
  4. Place consecutive layer groups within a node and split tensors across nodes, so the fast interconnect carries the activations between the consecutive groups.

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