{"id":1676,"date":"2020-01-09T22:27:40","date_gmt":"2020-01-09T19:27:40","guid":{"rendered":"http:\/\/plus48.ru\/novosti\/oblachnye-vychisleniya-na-gpu.html"},"modified":"2020-01-09T22:27:40","modified_gmt":"2020-01-09T19:27:40","slug":"oblachnye-vychisleniya-na-gpu","status":"publish","type":"post","link":"https:\/\/plus48.ru\/vse-stati\/oblachnye-vychisleniya-na-gpu.html","title":{"rendered":"\u041e\u0431\u043b\u0430\u0447\u043d\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043d\u0430 GPU"},"content":{"rendered":"
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\u041e\u0431\u043b\u0430\u0447\u043d\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043d\u0430 GPU<\/h1>\n

Cloud GPUs<\/h2>\n

Accelerated cloud computing<\/h3>\n

Scientists, artists, and engineers need access to massively parallel computational power. Google Cloud offers virtual machines with GPUs capable of up to 960 teraflops of performance per instance. Deep learning, physical simulation, and molecular modeling are accelerated with NVIDIA Tesla K80, P4, T4, P100, and V100 GPUs. Regardless of the size of your workload, GCP provides the perfect GPU for your job.<\/p>\n

Speed up complex compute jobs<\/h4>\n

Increase the speed of complex processing such as machine learning, medical analysis, seismic exploration, video transcoding, graphic visualization, and scientific simulations. Provision Compute Engine instances with powerful GPUs to handle your most complex compute-intensive workloads.<\/p>\n

GPUs in the cloud<\/h4>\n

Reduce capital costs \u2014 whether the task requires GPUs for hours or weeks, you can get exactly what you need. Precisely configure an instance with the ratio of processors, memory, and GPUs you need instead of modifying your workload to fit within limited system configurations.<\/p>\n

Optimize time and cost<\/h4>\n

Thanks to per-second pricing, you can choose the GPU that best suits your workload and pay only for what you need.<\/p>\n

Built on Google\u2019s infrastructure<\/h4>\n

Access some of the same hardware that Google uses to develop high performance machine learning products. GPUs give you the power that you need to process massive datasets. The hardware is passed through directly to the virtual machine to provide bare metal performance.<\/p>\n

Features<\/h2>\n

Several GPU types available<\/h4>\n

NVIDIA Tesla K80, P100, P4, T4, and V100 GPUs are available today, depending on your compute or visualization needs.<\/p>\n

Bare metal performance<\/h4>\n

GPUs are offered in passthrough mode, directly attached to the virtual machine to provide maximum performance.<\/p>\n

All the benefits of Google Cloud<\/h4>\n

Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies.<\/p>\n

Virtual workstations in the cloud<\/h4>\n

Run graphics-intensive applications including 3D visualization and rendering with NVIDIA GRID Virtual Workstations, supported on P4, P100, and T4 GPUs.<\/p>