Google Debuts New Cloud System Options for High-Performance Workloads

Cloud machine types based on Intel's Skylake processors will offer up to 96 vCPUs and 624GB of memory.


Enterprises running capacity-hogging, memory-intensive workloads on Google's cloud platform now have new high-performance system options for running them.

Google on Oct. 5 introduced three new cloud machine types that support up to 96 virtual CPUs and 624GB of memory for high-performance workloads. The highest performing system in the lineup offers a 50 percent increase in available compute resources per Google cloud virtual machine, according to the company.

In Google parlance, a machine type refers to a collection of hardware resources such as memory size, virtual CPU count and disk capacity that are available to a virtual machine. Google currently offers enterprises a choice of multiple predefined machine types, each one featuring a different combination of CPU, memory and disk configurations.

The new machine types that Google introduced this week are based on Intel's Xeon Scalable processors, or Skylake processors as they are also called. Intel has described the processors as optimized to run high-demand applications such as artificial intelligence, big data analytics and network transformation. The technology is designed for use in hybrid infrastructures and, among other things, offers features such as hardware-based security and lower power consumption than other processors in its class.

In a blog, Google product managers Hanan Youssef and Scott Van Woudenberg claimed that Skylake provides up to 82 percent more high performance computing (HPC) performance and 20 percent better compute performance than previous generation Intel Xeon processors.

The three new Google cloud machine types that are now available to enterprises are a standard configuration, a high-CPU machine type and a high-memory option. Enterprises that sign up for the standard machine type get up to 96 virtual CPUs (vCPUs) and 360GB of memory. The high-CPU option offers support for the same number of virtual processors and 86.4GB of memory, while the high-memory configuration comes with 96 vCPUs and 624GB of memory.

The 624GB machine types have been certified to run SAP's HANA database deployments, which typically involve very large data sets. Highly scaled-out configurations supporting up to 9.75TB of memory have also been certified for HANA, the two Google product managers said.

In addition to predefined machine types, organizations have the option of configuring custom machines based on Skylake processors. The custom machine option lets enterprises select the specific number of vCPUs they want and the memory and disk capacities to go with it. Google allows enterprises that use the option to configure machine types with just one vCPU and up to 6.5GB of memory per CPU. A separate, extended memory feature allows enterprises that are using the custom machine option to add more memory to their vCPUs as required.

The new 96-CPU machine types are available in beta starting this week for Google customers in the company's Central US, West US, East Asia and West Europe cloud regions.

Jaikumar Vijayan

Jaikumar Vijayan

Vijayan is an award-winning independent journalist and tech content creation specialist covering data security and privacy, business intelligence, big data and data analytics.