It’s been a long time coming, but Google Cloud today announced its first Arm-based VMs, following AWS, with its Graviton instances, and Azure, which also recently launched Arm VMs. But while AWS built its own custom chips, Google Cloud follows Azure’s lead here by using chips from Ampere. These new VMs, now in preview, will be part of Google Cloud’s Tau VM family under the name “Tau T2A”. This line was launched almost exactly a year ago, with AMD Milan processors, to offer a better price/performance ratio.
“We are excited to expand upon the rich choices we already offer with Intel and AMD and enter the Arm ecosystem to offer our customers even more choice and flexibility. We have support for a broad ecosystem of operating systems, databases, programming languages and other tools,” said Sachin Gupta, VP and GM for Google Cloud Infrastructure, in a press conference ahead of today’s announcement.
The new chips come in predefined SKUs with up to 48 vCPUs, each with up to 4 GB of memory. The VMs provide up to 32 Gbps network bandwidth and support the usual array of storage options available in the Google Cloud ecosystem. Google says these CPU specs will make these machines useful for a wide variety of workloads, including as web servers and running containerized microservices, data logging applications, and more.
Like the AMD-powered Tau chips, Google considers these as its price-performance optimized solutions. For example, a 32-core Tau T2A VM in the us-central1 region of Google Cloud costs $1,232 per hour.
Users can run RHEL, CentOS, Ubuntu, and Rocky Linux on these machines, in addition to Google’s own Container-Optimized OS for running containerized applications. At this point, ARM support has become a staple for most operating system and software vendors, which in turn greatly enhances the usability of these VMs (and those of Google’s competitors).
The new VMs are now available in a small number of regions, including us-central (Iowa – Zone A, B, F), europe-west4 (Netherlands – Zone A, B, C) and Asia-Southeast1 (Singapore – Zone B , C), but will come to other data centers over time.
“Ampere Altra Cloud Native Processors are designed from the ground up to meet the demands of modern cloud applications,” said Jeff Wittich, Chief Product Officer, Ampere Computing. “Our close partnership with Google Cloud has resulted in the launch of the new price-performance optimized Tau T2A instances, which enable the rapid and efficient deployment of demanding scale-out applications.”
In addition to using these VMs as part of Google Cloud’s Compute Engine, Google now supports them as part of its Kubernetes Engine, the Dataflow stream and batch processing service, and Batch, a new fully managed batch job scheduler that Google is launching today. launches. † “This new capability benefits key use cases for throughput-oriented computing, such as weather forecasting and electronic design automation,” said Gupta. “The primary goal of this new service is to provide unprecedented flexibility in time, location and cost of cloud capacity for batch jobs.”
This post Google Cloud launches its first Arm-based VMs – TechCrunch
was original published at “https://techcrunch.com/2022/07/13/google-cloud-launches-its-first-arm-based-vms/”