CAPRE’s Data Center West Coast Wednesday: From Silicon Valley to the World

Check out the latest in deals, development and disruptive technology in the West Coast data center arena for Aug 14, 2019:

  • Pavillion Data Systems Raises $25 Million: Pavilion Data Systems, creators of a Non-Volatile Memory Express over Fabric storage platform for flash memory systems that provides a more direct connection between a company’s stored data and the central processing units that actually use it, has closed on a $25 million USD round of funding. This latest infusion brings its total amount raised to $58 million USD. The Series C round was led by new investors Taiwanian Capital and RPS Ventures. Kleiner Perkins Caufield & Byers, Artiman White Space Investments, SK Telecom, all existing investors, also provided additional capital.
  • ITRenew Expands Hyperscale Data Center Services: ITRenew has hired three key senior executives to expand their hyper scale data center services. Charlie Leeming has joined ITRenew as President of Sesame, ITRenew’s line of compute and storage solutions. Charlie brings over twenty-five years of go-to-market and general management leadership to the role. To advance the Sesame product line, ITRenew has hired Erik Riedel as SVP of Engineering. Erik has over 20 years experience designing & building scale-out computing technology. ITRenew is also expanding its data center hardware decommissioning practice and Teraware data sanitization services. Bill Vasquez has joined the company as SVP of Strategy & Business Development to lead this effort.
  • Cray Announces Shasta Software to Power the Exascale Era: Global supercomputer leader Cray has announced an entirely new, open and extensible software platform to address the growing need for supercomputing across government and private industries. Cray’s software fuses supercomputing performance and capability with the modularity, composability and ease-of-use of cloud computing. The Department of Energy (DOE), National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laboratory (LLNL) also announced that Cray was awarded a third U.S. exascale system contract. The system, dubbed “El Capitan,” will be sited at LLNL. Cray now has $1.5 billion in business for Shasta supercomputing systems and the new software platform.
  • San Diego County Grappling with 5G Plans: The San Diego Reporter is reporting that the San Diego County Commissioners have settled on a plan for regulating the deployment of next generation technology necessary for 5G, specifically in unincorporated areas. However, community members are voicing concerns, with activists saying that the County Commissioners have missed the mark. “As some saw it, supervisors simply made the wrong choices, and public safety could be affected. But was the problem jammed signals and other radio interference – or the 1000-foot setbacks that put small cells too far from where people gather in emergencies?”
  • HPE Acquires Mapr: HPE has acquired the business assets of Santa Clara-based Mapr, including its intellectual property, artificial intelligence/machine learning and analytics data management technology. The terms of the deal have not yet been publicly disclosed. MapR has reportedly been seeking a buyer avoid cutting over a hundred jobs at its HQ. The acquisition further cements HPE’s “intelligent edge” strategy to incorporate AI, ML, and intelligent data processing capabilities into its portfolio.
  • AutoGrid Collaborates with AWS to Further Global Energy Industry Digitaization: AutoGrid has announced a collaboration with AWS to bring AI-powered distributed energy management to its energy-industry customers. AutoGrid will employ the suite of AWS IoT services in its AutoGrid Flex platform to detect, collect, organize, and run sophisticated data analytics. AWS services will deliver new insights into operations across energy facilities that will optimize production and improve process efficiencies of distributed energy resources and demand response. AutoGrid customers will use Amazon SageMaker to provide developers and data scientists with the ability to build, train and deploy machine learning models quickly.

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