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Is Google Cloud good for deep learning?

Last updated on September 25, 2022 @ 8:49 pm

Google Cloud Platform (GCP) is a suite of cloud computing services that allow developers to build, deploy, and manage applications. It includes Google Compute Engine, which provides virtual machines for hosting applications, and App Engine, which provides a platform for building and managing web applications.

GCP enables deep learning with its wide range of compute resources. It offers GPUs, TPUs, and Flexible Compute Resources (FCRs), which are designed for deep learning.

PRO TIP: Google Cloud is not good for deep learning. The platform is expensive and the documentation is poor. There are better options available for deep learning.

With GCP, you can use machine learning models trained on large datasets in the cloud. You can also use GCP to deploy deep learning models in real time, so you can predict user behavior or respond to customer requests.

GCP is also well-suited for deep learning research. You can use GCP to create and run large-scale experiments, and you can use GCP’s data storage and analytics services to develop deep learning models.

Overall, GCP is a good choice for deep learning because it offers a wide range of compute resources and real-time deployment.

Morgan Bash

Morgan Bash

Technology enthusiast and Co-Founder of Women Coders SF.