
Computer Engine Write For Us
The Google infrastructure can build and run virtual machines using Computer Engine, a customized computing service. A Virtual Machine (VM) that satisfies your requirements can be created. Prebuilt and prepared-to-use virtual machine setups with predetermined vCPU and memory allocations are known as predefined machine types. You may build virtual machines with the right amount of CPU and RAM for your tasks using Custom Machine Types. As a result, you may adjust your infrastructure to match your workload. If your needs change, you can relocate your workload to a smaller or bigger Custom Machine Type instance or a predetermined configuration, utilizing the stop/start capability.
Mechanical Kinds
Machine types are categorized and organized by families for various workloads in Compute Engine. General-purpose, memory-optimized, compute-optimized, and accelerator-optimized families are available for selection.
General-purpose machines are utilized for everyday computing at a reduced cost and balanced price/performance across various VM forms. Web serving, app serving, back office applications, databases, cache, media-streaming, microservices, virtual desktops, and development environments are the use cases that meet this the best.
Memory-optimized machines are advised for extremely high-memory workloads like in-memory analytics and massive in-memory databases like SAP HANA.
Compute-optimized devices are advised for high-performance workloads like High-Performance Computing (HPC), Electronic Design Automation (EDA), gaming, video transcoding, and single-threaded programs.
Machine learning (ML), heavily parallelized computations and high-performance computing are examples of workloads that can benefit from accelerator-optimized computers (HPC).
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