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Cloud Computing: Google Cloud launches Filestore High Scale, a new storage tier for high-performance computing workloads

Cloud Computing:

Google Cloud today announced the launch of Filestore High Scale, a new storage option — and tier of Google’s existing Filestore service — for workloads that can benefit from access to a distributed high-performance storage option.

With Filestore High Scale, which is based on technology Google acquired when it bought Elastifile in 2019, users can deploy shared file systems with hundreds of thousands of IOPS, 10s of GB/s of throughput and at a scale of 100s of TBs.

“Virtual screening allows us to computationally screen billions of small molecules against a target protein in order to discover potential treatments and therapies much faster than traditional experimental testing methods,” says Christoph Gorgulla, a postdoctoral research fellow at Harvard Medical School’s Wagner Lab., which already put the new service through its paces. “As researchers, we hardly have the time to invest in learning how to set up and manage a needlessly complicated file system cluster, or to constantly monitor the health of our storage system. We needed a file system that could handle the load generated concurrently by thousands of clients, which have hundreds of thousands of vCPUs.”

The standard Google Cloud Filestore service already supports some of these use cases, but the company notes that it specifically built Filestore High Scale for high-performance computing (HPC) workloads. In today’s announcement, the company specifically focuses on biotech use cases around COVID-19. Filestore High Scale is meant to support tens of thousands of concurrent clients, which isn’t necessarily a standard use case, but developers who need this kind of power can now get it in Google Cloud.

In addition to High Scale, Google also today announced that all Filestore tiers now offer beta support for NFS IP-based access controls, an important new feature for those companies that have advanced security requirements on top of

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