Tpu & GPU — Google Gen AI Leader Practice Question
A representative Google Cloud Generative AI Leader (Google Gen AI Leader) exam question on Tpu & GPU. Work through it below, then read why each option is right or wrong.
This question is part of the free Google Cloud Generative AI Leader practice test.
Short answer
The correct answer is D. Cloud TPUs.
Cloud TPUs (Tensor Processing Units) are custom-designed by Google specifically for accelerating machine learning workloads, particularly large-scale model training with high-throughput matrix operations. NVIDIA A100 GPUs (A) are powerful accelerators but are not custom-designed by Google. GKE with GPU node pools (C) provides GPU access but the question asks specifically about Google-designed custom hardware.
The Question
A research lab is training a very large generative AI model with hundreds of billions of parameters and needs specialized hardware that is custom-designed by Google for high-throughput matrix computations at scale. Which Google Cloud infrastructure option is specifically built for this purpose?
Why D is correct
Cloud TPUs (Tensor Processing Units) are custom-designed by Google specifically for accelerating machine learning workloads, particularly large-scale model training with high-throughput matrix operations. NVIDIA A100 GPUs (A) are powerful accelerators but are not custom-designed by Google. GKE with GPU node pools (C) provides GPU access but the question asks specifically about Google-designed custom hardware.
Why the other options are wrong
Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (D) is the only one that fully meets every constraint stated in the question.
Option B does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (D) is the only one that fully meets every constraint stated in the question.
Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (D) is the only one that fully meets every constraint stated in the question.
Key idea: Tpu & GPU
Cloud TPUs (Tensor Processing Units) are custom-designed by Google specifically for accelerating machine learning workloads, particularly large-scale model training with high-throughput matrix operations. NVIDIA A100 GPUs (A) are powerful accelerators but are not custom-designed by Google. GKE with GPU node pools (C) provides GPU access but the question asks specifically about Google-designed custom hardware. On the Google Gen AI Leader exam, questions in the "Google Cloud's Gen AI Offerings" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.
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