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Google Cloud: Introducing faster GPUs for Google Compute Engine

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Compared to traditional solutions, Cloud GPUs provide an unparalleled combination of flexibility, performance, and cost-savings:

  • Flexibility: Google’s custom VM shapes and incremental Cloud GPUs provide the ultimate amount of flexibility. Customize the CPU, memory, disk and GPU configuration to best match your needs.
  • Fast performance: Cloud GPUs are offered in passthrough mode to provide bare-metal performance. Attach up to 4 P100 or 8 K80 per VM (we offer up to 4 K80 boards, that come with 2 GPUs per board). For those looking for higher disk performance, optionally attach up to 3TB of Local SSD to any GPU VM.
  • Low cost: With Cloud GPUs you get the same per-minute billing and Sustained Use Discounts that you do for the rest of GCP’s resources. Pay only for what you need!
  • Cloud integration: Cloud GPUs are available at all levels of the stack. For infrastructure, Compute Engine and Google Container Enginer allow you to run your GPU workloads with VMs or containers. For machine learning, Cloud Machine Learning can be optionally configured to utilize GPUs in order to reduce the time it takes to train your models at scale with TensorFlow.

With today’s announcement, you can now deploy both the NVIDIA Tesla P100 and K80 GPUs in four regions worldwide. All of our GPUs can now take advantage of sustained use discounts, which automatically lower the price (up to 30%), of your virtual machines when you use them to run sustained workloads. No lock-in or upfront minimum fee commitments are needed to take advantage of these discounts.

Read the entire article here, Introducing faster GPUs for Google Compute Engine

Via the fine folks at Google Cloud.

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Google Cloud Google Cloud Platform frees you from the overhead of managing infrastructure, provisioning servers and configuring networks. To let innovators innovate and let coders, well, just code.

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