Introducing Compute- and Reminiscence-Optimized VMs for Google Compute Engine


Whether or not you’re working compute-bound purposes for HPC or massive, in-memory database purposes like SAP HANA, you want the correct mix of compute assets for the job, whereas additionally keeping track of price-performance. The overwhelming majority of enterprise workloads run efficiently on Google Cloud Platform utilizing our general-purpose VMs. Nevertheless, as you port extra workloads to the cloud, you might want VMs which might be optimized for particular forms of workloads.

At the moment we’re happy to announce the enlargement of our Compute Engine digital machine (VM) choices to incorporate new Compute-Optimized VMs and Reminiscence-Optimized VMs. Each are primarily based on 2nd Technology Intel Xeon Scalable Processors, which we delivered to clients final October—the primary cloud supplier to take action. As well as, these processors may even be coming to our general-purpose VMs. This implies you’ll have entry to an entire portfolio of machine varieties to efficiently run your workloads throughout a variety of reminiscence and compute necessities.

Compute-Optimized VMs

Compute-Optimized VMs (C2) are a brand new compute household on GCP, exposing excessive per-thread efficiency and reminiscence speeds that profit essentially the most compute-intensive workloads. Compute-Optimized VMs are nice for HPC, digital design automation (EDA), gaming, single-threaded purposes and extra. The brand new Compute-Optimized VMs provide a better than 40% efficiency enchancment in comparison with present GCP VMs. Additionally they leverage 2nd Technology Intel Xeon Scalable Processors and may run at a sustained clock pace of three.eight GHz. Moreover, C2 VMs present full transparency into the structure of the underlying server platforms, enabling superior efficiency tuning. You’ll be able to select Compute-Optimized VMs with as much as 60 vCPUs, 240 GBs of reminiscence, and as much as 3TB of native storage. Compute-Optimized VMs are presently accessible in alpha.


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