Google Cloud Platform (GCP)

A Google Cloud Platform (GCP) is a proprietary general cloud computing platform by Google that provides modular cloud computing services including computing resources, data storage, data analytics, and machine learning.

AKA: Google Cloud, GCP.
Context:
- It can (typically) be accessed via a GCP Account or GCP Service Account.
- It can (typically) provide GCP Services, such as:
  - Google Compute Engine for Infrastructure as a Service (IaaS) virtual machines.
  - Google Cloud Storage for scalable object storage.
  - Google Cloud Bigtable for NoSQL big data database operations.
  - Google Cloud Firestore for serverless NoSQL document databases.
  - Google Cloud Functions for serverless event-driven computing.
  - Google Cloud Run for containerized applications in serverless environments.
- It can (typically) provide GCP Platforms, such as:
  - Google Cloud Dataflow for stream and batch data processing.
  - Google Cloud Datalab for data visualization and exploration.
  - Google Cloud BigQuery for serverless data warehousing and analytics.
  - Google Cloud Vertex AI for end-to-end machine learning workflows.
  - Google Cloud Apigee for API management and governance.
- It can (typically) provide GCP AI and ML Services, such as:
  - Google Cloud Gemini Model integration for generative AI applications.
  - Google Cloud Vertex AI Search for AI-powered search capabilities.
  - Google Cloud Imagen and Google Cloud Veo for image and video generation.
  - Google Cloud Agentspace for enterprise AI agent development.
- It can (typically) provide GCP Industry Solutions, such as:
  - Google Cloud for Retail for personalized customer experiences and operational efficiency.
  - Google Cloud for Healthcare and Life Sciences for secure healthcare data management.
  - Google Cloud for Financial Services for compliant financial operations.
  - Google Cloud for Manufacturing for supply chain optimization.
- It can (typically) provide GCP Resources, such as GCP Compute Resources, GCP Storage Resources, and GCP Network Resources.
- It can (typically) support Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and serverless computing environments.
- It can (typically) run on the same global infrastructure as Google end-user products like Google Search, Gmail, and YouTube.
- It can (typically) offer security features including Google Cloud Identity and Access Management (IAM), automated guardrails, and continuous monitoring.
- It can (typically) integrate with Google Workspace for enterprise productivity.
- It can (often) leverage Google Cloud AI infrastructure like TPUs and Ironwood chips for AI acceleration.
- It can (often) support multi-cloud operations through partnerships like with Oracle for database services.
- It can (often) enable agentic AI development with tools like Google Cloud Duet AI and Google Cloud Gemini 2.0.
- It can (often) provide observability through Google Cloud Monitoring and Google Cloud Managed Service for Prometheus.
- It can (often) facilitate data management for AI with platforms like Google Cloud BigQuery and Google Cloud Vertex AI.
- ...
- It can range from being a Basic GCP Implementation to being an Advanced GCP Implementation, depending on its GCP service integration level.
- It can range from being a Small-Scale GCP Deployment to being a Large-Scale GCP Deployment, depending on its GCP resource scale.
- It can range from being an IaaS-Focused GCP Platform to being an AI-Centric GCP Platform, depending on its GCP computing paradigm focus.
- ...
- It can be managed via tools like GCP Console, Google Cloud gcloud CLI, Google Cloud SDK, and Google Cloud Shell.
- It can support scientific discovery through supercomputing-class infrastructure and AI-powered applications.
- It can integrate with third-party tools like Datadog for monitoring and Palo Alto Networks for security.
- ...
Example(s):
- Google Cloud Platform (GCP) Implementations, such as:
  - Enterprise GCP Implementations, such as:
    - Vodafone GCP Implementation for generative AI optimization using Vertex AI.
    - Gymshark GCP Implementation for unified data platforms with BigQuery and Vertex AI.
    - Rivian GCP Implementation for secure employee collaboration via Google Workspace integration.
    - LG AI Research GCP Implementation for EXAONE 3.5 LLM development on AI infrastructure.
  - Startup GCP Implementations, such as:
    - Infinite iR GCP Implementation for no-code 3D e-commerce with Vertex AI and Gemini 2.0.
    - Baseten GCP Implementation for AI inference optimization.
- Historical Google Cloud Platform (GCP)s, such as:
  - Google Cloud Platform (GCP), 2025 (as of mid-2025), featuring Gemini 2.0, Ironwood chips, and agentic AI updates.
  - Google Cloud Platform (GCP), 2023-05-19, during expansion of Vertex AI capabilities.
  - Google Cloud Platform (GCP), 2018-10-26, following general availability of additional services.
  - Google Cloud Platform (GCP), 2008-04, initial launch as App Engine.
- Industry-Specific GCP Implementations, such as:
  - Retail GCP Implementations, such as Agoda GCP Implementation for AI-generated travel visuals using Imagen and Veo.
  - Telecom GCP Implementations, such as Ericsson GCP Implementation for on-demand core network services with GKE.
- ...
Counter-Example(s):
- Amazon Web Services (AWS), which is a competing cloud platform by Amazon.
- Microsoft Azure, which focuses on integration with Microsoft products.
- IBM Cloud, which emphasizes hybrid cloud solutions.
- Alibaba Cloud Platform, targeted at Asian markets.
See: GCP Console, Google Cloud gcloud CLI, Google Cloud SDK, Google Cloud Shell, GCP Duet AI, Google Cloud Vertex AI, Google Cloud Gemini Model, Google Cloud BigQuery, Google Cloud Compute Engine, Google Cloud Storage, Google Cloud Identity and Access Management, Google Cloud Monitoring, Google Cloud Agentspace, Cloud Computing Provider, AI Infrastructure Company.

References

2021

(Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Google_Cloud_Platform Retrieved:2021-9-17.
- Google Cloud Platform (GCP), offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. Registration requires a credit card or bank account details. Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally available in November 2011. Since the announcement of App Engine, Google added multiple cloud services to the platform. Google Cloud Platform is a part of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.