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Visit cloudplatform.googleblog.com → On Hacker News Mar 2016 – Aug 2018
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Machine learning provides the underlying oomph to many of Google’s most-loved applications. In fact, more than 100 teams are currently using machine learning at Google today, from Street View, to Inbox Smart Reply, to voice search.
I’m excited to announce that Google Cloud Platform (GCP) is the first cloud provider to offer the next generation Intel Xeon processor, codenamed Skylake.
Starting today, Cloud TPUs are available in beta on Google Cloud to help machine learning (ML) experts train and run their ML models more quickly.
Got compute- and memory-hungry applications? We’ve got you covered, with new machine types that have up to 96 vCPUs and 624 GB of memory—a 50% increase in compute resources per Google Compute Engine VM. These machine types run on Intel Xeon Scalable processors (codenamed Skylake), and offer the most vCPUs of any cloud…
Google recently launched GPUs on Google Cloud Platform (GCP), which will allow customers to leverage this hardware for highly parallel workloads. These GPUs are connected to our cloud machines via a variety of PCIe switches, and that required us to have a deep understanding of PCIe security.
While there are no absolutes in computer security, we design, build and operate Google Cloud Platform (GCP) with the goal to protect customers' code and data. We harden our architecture at multiple layers, with components that include Google-designed hardware, a Google-controlled firmware stack, Google-curated OS…
We’re pleased to announce several updates to Google Compute Engine that give you more powerful and flexible instances. Google Cloud is the first and only public cloud to deliver Intel’s next-generation Xeon server processor (codenamed Skylake), and starting today, it’s generally available (GA). In addition, we’ve made…
Here at Google Cloud, our goal is to enable our users and customers to be successful with options, high performance and value. We're committed to open innovation, and look forward to working with industry partners on platform and infrastructure designs.
We’re releasing a study that shares new details on our Tensor Processing Unit (TPU) custom chips which have been running machine learning applications in our data centers since 2015.
NVIDIA Tesla V100 GPUs are now available in beta on Compute Engine and GKE, and NVIDIA Tesla P100 GPUs are now GA.