Google is changing the way it sets prices for its Compute Engine service to make things “fairer and more transparent. Compute Engine is the Internet giant’s basic Infrastructure-as-a-Service service that allows users to run workloads on its physical hardware.
Google says that it is further expanding its “committed use discounts” offered to customers with “stable and predictable” workloads, reports Silicon Angle. The company offers discounts of up to 57 percent for certain types of virtual machines, in exchange for a promise to use them for one to three years.
Committed use discounts now support GPUs, Cloud Tensor Processing Unit-pods and local SSDs with discounts of up to 55 percent. The discounts are available in all regions for Compute Engine and support a wide range of GPUs.
Discounts are being extended because it has become one of the most popular pricing models. The discounts come with the biggest advantage that they are versatile. Customers are able to reserve only ten virtual CPUs or even 10,000 if they have workloads that need it. According to the company, many other clouds have much more limits in the types of virtual machines.
In addition to the new discounts, Google is introducing capacity reservations for Compute Engine. This allows customers to reserve compute resources in certain availability zones for specific time periods. The idea is that companies can ensure that the computer capacity is available when customers need it. According to the internet giant, this is especially useful for customers who can predict peaks in demand.
Extended discounts and new capacity reservation options are now available in beta. They will be made generally available in the coming months.
Google also offers sustained use discounts for Compute Engine, which apply to customers who use the service for a certain period of time. There are also custom machine types that allow users to define exactly how much compute and RAM they need.This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.