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Posts by tag

Compute

24 posts
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  • 4 min
  • Computing
  • Design
  • Engineering

Flexible Committed Use Discounts — A Simple New Way To Discount Compute Engine Instances

Saving money never goes out of style. Today, many of our customers use Compute Engine resource-based committed use discounts (CUDs) to help them save on steady-state compute usage within a specific machine family and region. As part of our commitment to offer more flexible and easy ways for you to manage your spend, we now offer a new type of committed use discount for Compute Engine: flexible CUDs. Flexible CUDs are spend-based commitments that offer predictable and simple flat-rate discounts (28% off 1-year, and 46% off 3-years) that apply across multiple VM families and regions. Similar to resource-based CUDs, you…
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  • 4 min
  • Computing
  • Solutions

Migrate And Modernize Intelligently With Google Cloud Migration Center

Organizations continue to adopt the public cloud to deliver better business and IT outcomes1. However, migration — and modernization — is a complex, multifaceted challenge which involves understanding the current state of infrastructure and applications to determine what the future state looks like and what it would take to get to the future state with multiple stakeholders using myriad tools, processes, and implementation partners.Daniel Dill, Senior Vice President, Application Operations and Cloud Delivery at Global Payments Inc., summarizes a common sentiment amongst organizations contemplating migration projects: “Our cloud migration approach centered around quickly exiting high cost colo data centers and…
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  • 4 min
  • Computing
  • Platforms

The Next Wave Of Google Cloud Infrastructure Innovation: New C3 VM And Hyperdisk

Meeting the rapidly growing demands of our customers’ high performance computing and data-intensive workloads requires deep innovation — at Google Cloud, we know we can’t rely on ever-faster CPUs alone, like Moore’s Law has enabled in the past. Customers can either optimize their workloads for a given platform, or we can offer them a platform that is optimized for their specific needs. At Google Cloud, we choose the latter.Today, we have an exciting new release resulting from these efforts: the new C3 machine series powered by the 4th Gen Intel Xeon Scalable processor and Google’s custom Intel Infrastructure Processing Unit…
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  • 2 min
  • Engineering

Long-Term Data Protection With Persistent Disk Archive Snapshots

Many enterprises need data backups with long-term retention – for months or years – to help support requirements for compliance, audit, or disaster recovery. For example, a workload that generates receipt data might need to keep snapshots of this data for several years, even if the data might never be retrieved or retrieved only rarely. Persistent Disk snapshots have long provided reliable, indefinite data storage, but may not always be cost efficient for supporting these long-term scenarios. Today we are introducing Persistent Disk archive snapshots, a low-cost option for protecting Persistent Disks. Archive snapshots offer lower storage prices than standard…
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  • 3 min
  • Computing

SUSE Linux Enterprise Server (SLES) With 24/7 Support – Now Available With Committed Use Discounts

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 to use for a defined period. Today, we are excited to announce the general availability of committed use discounts (“CUDs”) for SUSE Linux Enterprise Server (“SLES”) with 24/7 support. CUDs are a very effective way of saving on your cloud costs when you have some…
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  • 5 min
  • Computing

Expanding The Tau VM Family With Arm-Based Processors

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. At Google Cloud, we’re also excited about using Arm chips for the next generation of scale-out, cloud-native workloads. Last year, we added Tau VMs to Compute Engine, offering a new family of VMs optimized for cost-effective performance for scale-out workloads. Today we are thrilled to…
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  • 5 min
  • Engineering

Introducing Batch, A New Managed Service For Scheduling Batch Jobs At Any Scale

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 way of running jobs that don’t need much human interaction. Enterprise workloads very often include some batch processing elements. Batch jobs are especially prevalent in areas such as research, simulation, genomics, visual effects, fintech, manufacturing and EDA. As enterprise customers turn to cloud to meet…
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  • 7 min
  • Engineering
  • Practices
  • Solutions
  • Tools

Top 5 Use Cases For Google Cloud Spot VMs Explained + Best Practices

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 Spot VMs enable our customers to make the most of our idle capacity where and when it is available. Spot VMs are offered at a significant discount from list price to drive maximum savings provided customers have flexible, stateless workloads that can handle preemption. Spot…
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  • 6 min
  • Computing
  • Design
  • Engineering

Even More Pi In The Sky: Calculating 100 Trillion Digits Of Pi On Google Cloud

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 yet another record: 100 trillion digits of π. This is the second time we’ve used Google Cloud to calculate a record number1 of digits for the mathematical constant, tripling the number of digits in just three years. This achievement is a testament to how much…
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  • 5 min
  • Design
  • Engineering
  • Solutions
  • Tools

Accelerate Your High Performance Computing Journey With New Google Cloud HPC Toolkit

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 filesystem? Of course, you also want to get the best performance. Finally, you also want a standardized process that is easy, flexible, and repeatable. We are excited to share our next step in simplifying HPC on Google Cloud: Cloud HPC Toolkit, an open source tool…
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