Accelerator Obtainability Options for AML Workloads on GKE
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In this riveting episode by Google Cloud Tech, they delve into the thrilling world of accelerator obtainability options for AML workloads on GKE. The team, led by the dynamic duo of Mofi and Miko Jalinski, uncovers the challenges users face in securing cutting-edge hardware like TPUs and GPUs. From the intense competition among hardware vendors to the hefty bills users must foot, the quest for these limited resources is nothing short of a high-octane race against time and cost.
The adrenaline-fueled discussion introduces viewers to the heart-pounding choices between on-demand and spot options, each offering a unique set of risks and rewards. From the safety of full control with on-demand to the wild ride of price flexibility with spot, users must navigate these treacherous waters to optimize their cloud bill without sacrificing performance. Enter the world of reservations, where seasoned AI companies can stake their claim on future resources with strategic precision, ensuring a steady supply for critical applications and large-scale operations.
But the excitement doesn't stop there. Google Cloud Tech unveils the future reservations feature, a game-changer that empowers users to define their resource needs and secure them in advance, even for the latest and greatest accelerators like A3 ultra machines. The team's innovative approach doesn't end with reservations; they introduce DWS flexart, a dynamic mode that enhances accelerator obtainability without the constraints of reservations. With discounted pricing, integration with compute classes, and support for TPUs on the horizon, users are in for a pulse-pounding ride through the fast-paced world of AML workloads on GKE.
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Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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