Google Cloud (NASDAQ: GOOGL) is a publicly traded IaaS & Developer Cloud company founded in 2008 and based in Sunnyvale, United States.
No dated funding rounds on file. This company is privately held and may be raising or operating on undisclosed capital.
Google Cloud's europe-west2-b zone in London fails, disrupting BigQuery, Cloud Run, GKE and other services with no recovery estimate.

Google signs a 20-year power purchase agreement with AEP for a 702MW fuel cell project in Wyoming, with Bloom Energy supplying the cells.

Indiana regulators approve AES Indiana's $1.3B solar, storage, and transmission plan to power a Google data center in Monrovia, with Google covering costs.
An industry-funded ECIPE study claims the EU's proposed Cloud and AI Development Act could cost Europe €115B, versus the Commission's €18B estimate.
Compute Engine provides virtual machines running on Google's data center infrastructure. Customers choose machine families, custom vCPU and memory configurations, and operating systems, then scale instances up or down through managed instance groups. It serves teams migrating existing workloads to the cloud as well as those running custom software that needs full control over the operating environment. Live migration and per-second billing are key differentiators for production use.
Cloud TPU gives customers rental access to Google's custom-built Tensor Processing Units, application-specific chips designed to accelerate machine learning training and inference. Researchers and enterprises can provision TPU slices through Compute Engine, Google Kubernetes Engine, or Vertex AI, and scale to large multi-chip pods. It is the main way for outside customers to use Google's TPU hardware, differentiating Google Cloud from GPU-only AI infrastructure providers.
Vertex AI is Google Cloud's managed machine learning platform for building, tuning, deploying, and monitoring models. It offers access to Gemini models, a model garden of third-party and open models, and tools for custom training and MLOps. Data science and AI engineering teams use it to move from experiments to production within one governed environment. Its tight integration with BigQuery and TPU infrastructure distinguishes it for large-scale AI workloads.
BigQuery is Google Cloud's serverless, petabyte-scale data warehouse for analytics. Analysts run SQL queries without provisioning clusters, and the service separates storage from compute so usage scales with demand. It also supports machine learning with SQL, streaming ingestion, and built-in integration with Vertex AI. Data teams use it for reporting, data lakes, and AI-driven analysis, with pricing based on storage and query consumption.
Cloud Run is a fully managed serverless platform for running containerized applications and functions. Developers deploy a container image or source code, and Google handles scaling, including scale to zero when idle, along with HTTPS endpoints and traffic splitting. It suits web APIs, background jobs, and AI inference services that need rapid scaling without managing Kubernetes clusters. Customers pay only for the CPU and memory consumed while requests are processed.
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