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Tuesday, March 27th, 2018

    Time Event
    1:05p
    Hangar to Use Vapor IO’s Edge Data Centers to Automate Drones
    Startup envisions autonomous drones sending construction-site images to edge data centers nearby
    5:29p
    Nvidia Shrinks the Deep Learning Data Center
    Claims new GPU-powered supercomputer in a box can replace hundreds of CPU nodes.
    6:01p
    Nvidia Moves Self-Driving Car Tests from Road to Data Center
    Says billions of driving miles can be simulated “without putting anyone in harm’s way”
    9:28p
    Apollo Said to Consider IPO of Rackspace
    Firm has held early talks about starting process this year; Apollo delisted company in 2016, bought peer Datapipe in 2017
    9:34p
    Nvidia Moves Self-Driving Car Tests from Road to Data Center (FB)
    At the company's annual GTC Summit in San Jose, California, Nvidia founder and CEO Jensen Huang announced a two-server solution that simulates data generated by a self-driving car and trains a driving algorithm using that data. The promise is to move self-driving car testing off the public roads and into data centers before the technology is proven out. Besides the benefit of safety, virtualizing the road test makes it possible to train the algorithm much faster, the company said. The technology can simulate the billions of driving miles necessary to make self-driving cars a reality much faster than it would take to have physical cars drive them. Nvidia temporarily suspended tests of its own self-driving cars on public roads "to learn from the Uber incident," a company spokesman told Reuters.
    9:38p
    Nvidia Shrinks the Deep Learning Data Center (FB)
    At its big annual Silicon Valley conference Tuesday, Nvidia unveiled what it said was the world’s first single server with enough computing muscle to deliver two petaflops, a level of performance usually delivered by hundreds of servers networked into clusters. Aimed primarily at deep learning applications, the DGX-2 system is 10 times more powerful than the Volta GPU-powered version of its predecessor DGX-1, which was only released in September, the company said. The chipmaker’s engineers were able to get so much more performance in the box by packing it with twice the amount of GPUs, upgrading each GPU with twice as much memory as before, using a brand new GPU interconnection technology, and improving Nvidia deep learning software.
    9:43p
    Hangar to Use Vapor IO’s Edge Data Centers to Automate Drones (FB)
    Drone software maker Hangar Technology wants to automate and manage drones for its enterprise customers throughout the US. To do that, it will take advantage of Vapor IO’s edge data centers that are being built nationwide. Vapor is installing its micro data centers next to cell towers owned by its investor Crown Castle, which owns 40,000 cell towers and 60,000 miles of metro fiber in the US. Hangar plans to install its drone software at each edge data center location as Vapor expands. Hangar’s customers, which include construction companies and government agencies, currently use the company’s software to manage their drones and take detailed images of construction sites and infrastructure. Through machine learning, Hangar’s software analyzes the images and spots defects and other potential problems and alerts the customers.
    9:45p
    Pure Storage, NVIDIA Trot Out Artificial Intelligence Workhorse
    A pre-integrated AI solution can get companies off the fence with AI and help channel partners move up the value chain.

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