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Categories: google Machine learning Nvidia

#GoogleCloudPlatform gets a performance boost today with the much anticipated public beta of #NVIDIATesla #K80 GPUs. You can now spin up NVIDIA GPU-based VMs in three GCP regions: us-east1, asia-east1 and europe-west1, using the gcloud command-line tool. Support for creating GPU VMs using the Cloud Console appears next week. If you need extra computational power for deep learning, you can attach up to eight GPUs (4 K80 boards) to any custom Google Compute Engine virtual machine. GPUs can accelerate many types of computing and analysis, including video and image transcoding, seismic analysis, molecular modeling, genomics, computational finance, simulations, high performance data analysis, computational chemistry, finance, fluid dynamics and visualization.

https://cloudplatform.googleblog.com/2017/02/GPUs-are-now-available-for-Google-Compute-Engine-and-Cloud-Machine-Learning.html?m=1

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