Google Cloud announces ARM-based Tau T2A virtual server service

ARM-based computers manage to surpass x86 architecture in terms of energy efficiency. Google Cloud announced the Tau T2A VM series, its first ARM-based virtual server.

Google Cloud gets ARM-based Tau T2A virtual servers

Amazon Web Service and Microsoft Azure are already presenting users with ARM-based virtual servers. Amazon Web Service is developing its own proprietary chips for ARM-based servers.


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Google announced that they are using Ampere Cloud Native processors for its cloud server service. Developing ARM-based processors for cloud servers, Ampere offers its corporate customers ambitious products in terms of power efficiency and performance.

Google Cloud gets ARM-based Tau T2A virtual servers

Commenting on the subject, Google Cloud said, “We are pleased to expand the server options we already offer with Intel and AMD and to enter the ARM ecosystem to provide more flexibility to our customers. We have support for a wide ecosystem of operating systems, databases, programming languages ​​and other tools.” made statements.

Each will offer 32 Gbps of network bandwidth with up to 4GB of RAM and 48 vCPU cores. Google announced that its new virtual servers can be used for various workloads such as web servers and microservices.

The new service will be offered as a price/performance optimized solution. For example, a 32-core Tau T2A virtual server in Google Cloud’s us-central1 region will cost $1,232 per hour.

Users will be able to use Google’s self-developed Container-Optimized operating system to run containerized applications, as well as features such as RHEL, CentOS, Ubuntu, and Rocky Linux on these machines.

Jeff Wittich, Ampere Computing Product Manager, said, “Ampere Altra Cloud Native Processors were designed from the ground up to meet the demands of modern cloud applications. Our close collaboration with Google Cloud has resulted in the release of new price-performance optimized Tau T2A instances that enable fast and efficient deployment of demanding scaling applications.” said.

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