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AWS vs GCP

Compare Amazon Web Services and Google Cloud Platform for cloud AI and model hosting.
Architecture Decision
Architecture Decision

AWS vs. GCP

Choosing between AWS SageMaker's enterprise infrastructure and Google Cloud's Vertex AI suite.

Option A

AWS

AI Platform

AWS SageMaker. Complete pipeline management, custom training clusters, and robust deployment pipelines.

Infrastructure

Broadest enterprise options, specialized Trainium/Inferentia chips, and global availability zones.

Verdict

Best for established enterprise architectures, custom model training at scale, and hybrid clouds.

Option B

GCP

AI Platform

Vertex AI. Native multimodal support, Google's top-tier Gemini model integrations, and highly intuitive UI.

Infrastructure

TPUs (Tensor Processing Units) offer unmatched speed-to-cost ratio for training large neural models.

Verdict

Best for Google-centric tech stacks, fast Vertex AI integrations, and rapid Gemini model deployments.

Quick Answers
Quick Answers

Frequently Asked Questions

GCP TPUs can be cheaper for training deep learning models, while AWS offers cheaper deployment models via their custom Inferentia chips.

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