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Compute

Computing

Optimizing your costs is a major priority for Google Cloud. We do this with products that deliver a great combination of price and performance, recommendations that help you right size your deployment, and by offering the right pricing models. Committed Use Discounts is one such model that allows you to get high discounts against commitments …

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Computing

Organizations that are developing ever larger, scale-out applications will leave no stone unturned in their search for a compute platform that meets their needs. For some, that means looking to the Arm® architecture. Known for delivering excellent performance per watt efficiency, Arm-based chips are already ubiquitous in mobile devices, and have proven themselves for supercomputing workloads. …

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Engineering

Today, we’re excited to announce the Preview release of our fully managed service, Batch, which provides easy access to Google Cloud’s computing power and scale. Batch processing is as old as computing itself, with the term ‘batch’ dating back to the punchcards used by early mainframes. Batch uses resources very efficiently and remains the preferred …

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EngineeringPracticesSolutionsTools

Cloud was built on the premise of flexible infrastructure that grows and shrinks with your application demands. Applications that can take advantage of this elastic infrastructure and scale horizontally with the demands of your application offer significant advantages over competitors by allowing infrastructure costs to scale up and down along with the demand. Google Cloud’s …

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ComputingDesignEngineering

Records are made to be broken. In 2019, we calculated 31.4 trillion digits of π — a world record at the time. Then, in 2021, scientists at the University of Applied Sciences of the Grisons calculated another 31.4 trillion digits of the constant, bringing the total up to 62.8 trillion decimal places. Today we’re announcing …

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DesignEngineeringSolutionsTools

Introducing the Cloud HPC Toolkit Running High Performance Computing (HPC) workloads in the cloud provides many benefits, including the flexibility to create and tear down whole clusters within minutes. However, that flexibility comes with complexity. How do you pick the right machine configuration? How do you install your preferred scheduler? Set up your choice of …

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ComputingEngineeringTechnology

Available in GA today, you can now begin deploying Spot VMs in your Google Cloud projects to start saving now. For an overview of Spot VMs, see our Preview launch blog and for a deeper dive, check out our Spot VM documentation. Modern applications such as microservices, containerized workloads, and horizontal scalable applications are engineered …

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ComputingDesignEngineering

Google Cloud is a great home for your high performance computing (HPC) workloads. As with all things Google Cloud, we work hard to make complex tasks seem easy. For HPC, a big part of user friendliness is support for popular tools such as schedulers. If you run high performance computing (HPC) workloads, you’re likely familiar …

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ComputingSolutions

At Google, the state-of-the-art capabilities you see in our products such as Search and YouTube are made possible by Tensor Processing Units (TPUs), our custom machine learning (ML) accelerators. We offer these accelerators to Google Cloud customers as Cloud TPUs. Customer demand for ML capacity, performance, and scale continues to increase at an unprecedented rate. …

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Computing

Earlier last year, Cloud TPU VMs on Google Cloud were introduced to make it easier to use the TPU hardware by providing direct access to TPU host machines. Today, we are excited to announce the general availability (GA) of TPU VMs. With Cloud TPU VMs you can work interactively on the same hosts where the …

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