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ProductGoogle Cloud SDK

Google Cloud

Google Cloud is a public cloud computing platform provided by Google, offering infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) to enterprises and developers. Its core capabilities encompass compute, storage, databases, networking, big data analytics, and artificial intelligence and machine learning services, operated through Google's global data center network and deeply integrated with products such as Google Workspace.

Core Facts

Timeline (last 90 days)

Oct 29

Alphabet announced its third-quarter financial results, with revenue of about 127.6 billion dollars, up 25% year over year; Google Cloud revenue was about 30.7 billion dollars, up 103% year over year.

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Oct 29

Alphabet's annualized revenue run rate reached 500 billion dollars, with Google Cloud revenue surging 103% year over year.

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Oct 29

Pichai disclosed that Alphabet's annualized revenue in the third quarter reached $500 billion, Google Cloud revenue grew 103% year over year, and the company's own model APIs handle nearly 32 billion tokens per minute.

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Oct 27

BigQuery's governance model relies on Google Cloud IAM and Data Catalog, with permissions bound at the GCP project and dataset level, making it difficult to unify in cross-cloud scenarios.

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Oct 27

Antigravity has a built-in MCP server marketplace where Google Cloud, PostHog, Lovable, Splunk, and others can be installed with one click, but the Zerodha and NSE MCPs are not in the list and must be added manually.

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Oct 26

Cisco Vice President of Product Management Anton Chuvakin has 25 years of security research experience and previously served as a Gartner Research Vice President and a member of the Google Cloud CISO Office.

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Oct 25

Terms such as Investigating, Identified, and Monitoring originate from the industry-standard incident severity process, and the status pages of mainstream cloud services such as AWS, Google Cloud, and Cloudflare commonly use similar terminology systems.

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Oct 25

Configuring Monitor on Vertex and Foundry relies on the access control systems of Google Cloud and Azure, respectively.

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Oct 25

Google Cloud announced a private preview of three models for select enterprise customers, who can call them via API and also connect to the Gemini platform for inference through local Codex CLI or Desktop workflows.

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Oct 24

For OpenAI models accessed through Google Cloud, prompts and outputs stay within the customer-specified data boundary and are not used to train models.

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40 more timeline events

All Facts (20)

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Gemini 4 Argon is positioned by Google as a 'workhorse' model built specifically for coding and cybersecurity work.

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Google provides API access to the Gemini model through two platforms, Google AI Studio and Vertex AI, with Google AI Studio offering developers a certain amount of free usage quota

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Vertex AI is Google Cloud's enterprise-grade machine learning platform, offering VPC network isolation, IAM permission management, and compliance auditing features.

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Gemini 4 Argon can be invoked through entry points such as the paid Gemini API, Google AI Studio, Antigravity, Gemini Enterprise, AI Mode in the Gemini app and Search, and Android Studio and Firebase AI Logic.

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Google launched its TPU (Tensor Processing Unit) as early as 2016, and it has now iterated to its fifth generation.

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OpenAI's models are no longer tied only to a single cloud channel but reach customers through multiple cloud marketplaces; Google Cloud, in turn, admits a competitor's models into its model catalog alongside its own Gemini models.

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BigQuery is the core analytics engine of the Google Cloud ecosystem and adopts a pay-as-you-go pricing model.

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Google's Model Garden is a model catalog service within its Vertex AI platform, aggregating Google's own models and third-party models (such as Anthropic's Claude, Meta's Llama, and Mistral), which enterprise developers can invoke through a unified API interface.

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Running inference services on a 70B-parameter open-source model requires at least 2–4 A100/H100-class GPUs, with cloud rental costs of $5–20 per hour.

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Google Cloud Run is a fully managed containerized computing platform provided by Google Cloud, belonging to the Serverless category, with per-request billing and scale-to-zero characteristics.

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Google's Gemini deeply integrates with the Workspace ecosystem

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The DORA metrics framework, proposed by Google's DevOps research team, includes multiple dimensions such as deployment frequency, change lead time, and change failure rate.

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AWS, Azure, and Google Cloud collectively hold approximately 65% of the global cloud computing market.

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Anthropic has established deep partnerships with Google and Amazon and received substantial cloud computing resources from them.

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Connecting n8n to Gmail typically relies on Google's OAuth 2.0 authorization mechanism, which allows third-party applications to access Google account resources in a restricted manner after user authorization without obtaining the account password.

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Firebase AI Logic packages Google Cloud's Gemini model capabilities into an SDK suitable for direct client-side invocation, with built-in API Key management, security rules integration, and linkage with the Firebase ecosystem such as Firestore and App Check.

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Google Cloud's budget and alerting features are essentially monitoring and notification tools; upon reaching a threshold they only send emails or notifications, and do not automatically stop services or prevent costs from continuing to accumulate.

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The three major cloud vendors (Google Cloud, AWS Bedrock, and Azure AI) adopt highly consistent strategies to position themselves as app stores for AI models.

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Cloud computing vendors such as AWS and Google Cloud have already introduced Spot Instance and reserved instance mechanisms.

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Creating a Google Cloud billing account for the first time typically comes with a $300 free credit, valid for approximately three months.

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