Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An enterprise machine learning team is optimizing its infrastructure on Google Cloud to train large deep learning models using specialized accelerators, such as NVIDIA A100 GPUs. The training jobs are batch-oriented, delay-tolerant, and require guaranteed runtime completion once started, without unexpected mid-run interruptions or preemptions.
The team wants to optimize accelerator acquisition and compute costs while ensuring efficient scheduling of high-demand GPU resources on Vertex AI.
Which compute scheduling architecture should the team implement for their Vertex AI custom training jobs?
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