Google Cloud Platform is Google's cloud infrastructure - the same infrastructure that runs Google Search, YouTube, and Gmail, made available for products of any size. It provides servers, databases, storage, networking, and a wide range of managed services, the same way AWS does. Where GCP distinguishes itself is in the areas where Google has the deepest expertise - data processing at scale, machine learning infrastructure, and global network performance. For products where these capabilities are central requirements, GCP is a natural fit.

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From data to insights in minutes. Google Cloud turns your biggest data challenges into your greatest competitive advantages.

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BigQuery is one of the services that makes GCP particularly compelling for data-heavy products. It is a managed data warehouse that can run analytical queries across enormous datasets in seconds - queries that would take minutes or hours on a traditional database. There is no infrastructure to manage, no cluster to size, no indexes to maintain. You load the data, write SQL, and BigQuery handles the rest. For products that need to analyse large volumes of data - usage logs, transaction histories, event streams - BigQuery makes that analysis accessible without a dedicated data engineering team to operate the infrastructure.

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For AI workloads specifically, GCP's integration with Google's AI research and tooling is a genuine advantage. Vertex AI provides managed infrastructure for training and deploying machine learning models. The availability of specialised hardware accelerators for AI workloads means training and inference are faster and more cost-effective than on general-purpose compute. Cloud Run provides a simple way to deploy containerised applications - including AI inference services - that scale to zero when idle and handle traffic spikes without manual scaling. For products where AI is a core feature rather than an add-on, GCP provides infrastructure that matches the requirement.

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What this means for your product:

• A cloud platform with particular strength in data analytics and AI infrastructure

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• BigQuery for analysing large datasets without managing database infrastructure

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• Global network performance that keeps the product fast for users anywhere in the world

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• Managed AI infrastructure for products where machine learning is a core feature

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Chips:

GCP · BigQuery · Cloud Run · GKE · Vertex AI · Cloud Storage · Pub/Sub · Terraform

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