By Hanan Youssef, Product Manager
Today we are excited to announce beta availability of a new family of Google Compute Engine machine types. The n1-ultramem family of memory-optimized virtual machine (VM) instances come with more memory—a lot more! In fact, these machine types offer more compute resources and more memory than any other VM instance that we offer, making Compute Engine a great option for a whole new range of demanding, enterprise-class workloads.
The n1-ultramem machine type allows you to provision VMs with up to 160 vCPUs and nearly 4TB of RAM. The new memory-optimized, n1-ultramem family of machine types are powered by 4 Intel® Xeon® Processor E7-8880 v4 (Broadwell) CPUs and DDR4 memory, so they are ready for your most critical enterprise applications. They come in three predefined sizes:
- n1-ultramem-40: 40 vCPUs and 961 GB of memory
- n1-ultramem-80: 80 vCPUs and 1922 GB of memory
- n1-ultramem-160: 160 vCPUs and 3844 GB of memory
These new machine types expand the breadth of the Compute Engine portfolio with new price-performance options. Now, you can provision compute capacity that fits your exact hardware and budget requirements, while paying only for the resources you use. These VMs are a cost-effective option for memory-intensive workloads, and provide you with the lowest $/GB of any Compute Engine machine type. For full details on machine type pricing, please check the pricing page, or the pricing calculator.
Memory-optimized machine types are well suited for enterprise workloads that require substantial vCPU and system memory, such as data analytics, enterprise resource planning, genomics, and in-memory databases. They are also ideal for many resource-hungry HPC applications.
Incorta is a cloud-based data analytics provider, and has been testing out the n1-ultramem-160 instances to run its in-memory database.
“Incorta is very excited about the performance offered by Google Cloud Platform’s latest instances. With nearly 4TB of memory, these high-performance systems are ideal for Incorta’s Direct Data Mapping engine which aggregates complex business data in real-time without the need to reshape any data. Using public data sources and Incorta’s internal testing, we’ve experienced queries of three billion records in under five seconds, compared to three to seven hours with legacy systems.”
— Osama Elkady, CEO, Incorta
In addition, the n1-ultramem-160 machine type, with nearly 4TB of RAM, is a great fit for the SAP HANA in-memory database. If you’ve delayed moving to the cloud because you have not been able to find big enough instances for your SAP HANA implementation, take a look at Compute Engine. Now you don’t need to keep your database on-premises while your apps move to cloud. You can run both your application and in-memory database in Google Cloud Platform where SAP HANA backend applications will benefit from the ultra-low latency of running alongside the in-memory database.
You can currently launch ultramem VMs in us-central1, us-east1 and europe-west1. Stay up-to-date on additional regions by visiting our available regions and zones page.
Visit the Google Cloud Platform Console and get started today. It’s easy to configure and provision n1-ultramem machine types programmatically, as well as via the console. Visit our SAP page, if you’d like to learn more about running your SAP HANA, in-memory database on GCP with ultramem machine types.
Feed Source: Google Cloud Platform Blog
Article Source: Introducing ultramem Google Compute Engine machine types