Thanks to the new launch of Custom Machine Types for Google’s Compute Engine, customers now can be able to decide exactly how many virtual CPUs (vCPUs) and how much RAM they want to buy on the cloud, then saving cost.
Google has just released a new option of flexible and cheaper cloud implementation yesterday. This new set of custom cloud capabilities help customers to select the cloud resources that best meet their demand while solving to a common problem—buying more capability than needed.
Google has just released a new option of flexible and cheaper cloud implementation yesterday
In the past, Google‘s cloud department has been stated about its aim for lowering cloud storage prices in long term process, and now, the Internet giant continued that rhetoric with a new debut on Wednesday.
Google on Wednesday turned out Google’s new Custom Machine Types – a set of new custom cloud options that should make it easier for customers to decide the cloud resources that best meet their needs, while cutting down on a common problem—buying more capability than needed. It brings a flexible and cheaper) cloud deployment option.
Supporting for lowering storage prices in the long term period is considered as an important strategy of Google’s cloud department. In the past, it has revealed some details about this campaign. And now, the Internet giant continued to go on that path with Custom Machine Types.
Users can be able to decide exactly how many virtual CPUs (vCPUs) and how much RAM they want to buy
No matter what provider you choose, from the Google Cloud Platform, AWS, to Azure or another player, the process to buy virtual machines is pretty much always the same/ is following a routine: You choose virtual machines from a limited set of pre-configured CPU and RAM options on machines that are either fit for compute or memory.
The new Custom Machine Types provide developers and users a various range of options up to 32 virtual central processing units (called vCPUs), and allocate memory from 6.5 gigabytes per vCpU on up. The new model let customers easily move a job to another, more appropriate, vCPU configuration if the job changes, according to Google.
Like all of Google’s virtual machines, Custom Machine Types takes per-minute pay and customers can run them for a month at a time, depending on the number of vCPUs they use as needed. If their job runs at 100% capacity, Google’s “sustained use discount” will be ready to bring the price down significantly.
In fact, Google’s big rival – Amazon Web Services is considered as the pioneer in public cloud—a model in which massive compute services are divvied up for use by many customers who typically pay by the hour. Amazon offers a huge array of instance types and several pricing models.
Custom Machine Types allows customers decide exactly how many virtual CPUs (vCPUs) and how much RAM they want depend on the needs. When the needs change — as they inevitably will, users simply adjust the number of cores and memory.
In the U.S. region, every vCPU hour will cost $0.03492 and every GiB of RAM will cost $0.00468 per hour. For preemptible machines, those prices can be dow to $0.01002 per vCPU/hour and $0.00156 per GiB/hour. For, European and Asian region, it takes customers a litble a little bit higher ($0.03841 vs. $0.03492 per vCPU hour, for example).
Take a look, the tech giant provides a various range of instance types and several pricing models for their customers worldwide. And now, Google and Microsoft are jumping into the game, they has invested billions in infrastructure so far.
Google informed the debut of New Machine Types In its blog post, David Siuta, a Ph.D. candidate at the University of British Columbia who, runs compute intensive weather prediction models, said it’s important for him to use the right type of virtual machines on Google Cloud Platform.
Google’s senior vice president of technical infrastructure, will talk about how the cloud will look in 2020 at the Structure Conference.