Google Cloud Tau T2A VMs with Arm-based Ampere Altra Processors
Arm-based Google Cloud Tau T2A VMs deliver choice and efficiency for customers running scale-out workloads like web servers, containerized microservices, data-logging processing, media transcoding, and large-scale Java applications.
Arm Welcomes Google Cloud Customers
GKE is the leading platform for organizations looking for advanced container orchestration. It delivers the highest levels of reliability, security, and scalability, and supports T2A nodes, for getting the most out of containerized workloads.
T2A VMs support the most popular Linux operating systems, such as RHEL, CentOS, Ubunu, and Rocky Linux. In addition, T2A VMs support container-optimized OS to bring up Docker containers quickly, efficiently, and securely.
Users can run batch jobs on T2A instances to optimize the cost of running EDA, HPC, and other workloads.
Dataflow is a fully managed streaming analytics service that minimizes latency, processing time, and cost through autoscaling and batch processing. Customers can use T2A VMs with their dataflow workloads.
Google Cloud Arm-based Tau T2A VMs
Powered by Ampere® Altra® Arm-based processors, T2A VMs deliver exceptional single-threaded performance at a compelling price. Tau T2A VMs come in multiple predefined VM shapes, with up to 48 vCPUs per VM, and 4GB of memory per vCPU. They offer up to 32 Gbps of networking bandwidth and a wide range of network attached storage options, making Tau T2A VMs ideal for scale-out workloads, including web servers, containerized microservices, data-logging processing, media transcoding, and large-scale Java applications.
Works on Arm
To help developers get started, Google is joining the Works on Arm initiative to provide customers, ISV and ecosystem partners free access to T2A VMs. Google offers a generous trial program with up to 8 vCPUs and 32 GB of RAM at no cost during the trial period.
Arm Technology and Tools for Cloud Computing
A high-performance platform optimized for cloud-native server workloads operating at top compute efficiency with processing at the edge for increased scalability.
Reduce SoC integration time with a coherent mesh network optimized for a wide range of applications, including networking infrastructure, storage, server, HPC, automotive, and industrial solutions.