In the News

Government Matters - This hour-long program will bring together thought leaders from the public and private sectors to offer our audience informed perspectives on the path forward for big data in government.

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The Next Platform - There is a direct correlation between the length of time that Nvidia co-founder and chief executive officer Jensen Huang speaks during the opening keynote of each GPU Technology Conference and the total addressable market of accelerated computing based on GPUs.

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The Next Platform - In the long run, provided there are enough API pipes into the code, software as a service might be the most popular way to consume applications and systems software for all but the largest organizations that are running at such a scale that they can command almost as good prices for components as the public cloud intermediaries

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MapD Rolls GPU Cloud

Apr 3, 2018

Datanami - MapD Technologies released a new version of its mainstay database and visualization platform about a year ago with a heavy emphasis on GPU acceleration.

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Finovate - Analytics and visualization company MapD has its head in the cloud this week. That’s because the San Francisco-based company launched a cloud-based offering, MapD Cloud.

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eWEEK - IBM is seeing numerous projects under way using both Power8 and Power9, which was launched only last December. It published a list at OpenPower Summit detailing more than 100 solutions developed in partnerships with companies such as Google, Xilinx, Broadcom, Hitachi and others.

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ekonomit.se - Övergången till så kallade minnesdatabaser har tagit ordentlig fart under de senaste åren där allt fler företag insett fördelarna med att göra all analys direkt i minnet i stället för att ta omvägen via diskar.

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Datanami - MapD Technologies, the database and visualization specialist, said its is working with university researchers on leveraging graphics processors to advanced geospatial analytics

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Datanami - High-flying analytics software vendor MapD Technologies is partnering with Canadian mobile data vendor Tutela Technologies on an analytics platform that provides real-time metrics on mobile network performance and device usage.

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Data Science on GPU

May 24, 2017

Slideshare - This talk will address new advances in how data science is leveraging GPUs to solve complicated problems.

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App Developer Magazine - MapD Technologies, a GPU-powered analytics company, has released their Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.

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Mark Litwintschik Tech Blog - I was blown away when I recently heard MapD was going to make the source code for their GPU-powered database freely available on GitHub

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EnterpriseTech - A group of data analytics vendors joined forces today at the GPU Technology Conference to create the GPU Open Analytics Initiative (GOAI) with the goal of fostering the development of a community of data science and deep learning workloads running on GPUs.

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EnterpriseTech - A group of data analytics vendors joined forces today at the GPU Technology Conference to create the GPU Open Analytics Initiative (GOAI) with the goal of fostering the development of a community of data science and deep learning workloads running on GPUs.

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Datanami - MapD Technologies, the big data analytics platform startup developing a parallel SQL database that runs on GPUs, has more than doubled its venture-funding total with the close of its latest investment round led by New Enterprise Associates (NEA).

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WirelessWeek - While 2016 was the year of the GPU for a number of reasons, the truth of the matter is that outside of some core disciplines (deep learning, virtual reality, autonomous vehicles) the use of GPUs for general purpose computing applications is still in its early stages, despite its exceptional growth over the past 12 months.

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Google Cloud Platform Blog - CPU-based machines in the cloud are terrific for general purpose computing, but certain tasks such as rendering or large-scale simulations are much faster on specialized processors.

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Datanami - The gnashing of teeth you may be hearing is the sound of political pollsters whose elegant models completely missed the surge of popular discontent in the hinterlands that propelled Donald J. Trump to the U.S. presidency.

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Datanami - No matter how sophisticated information technology gets – and who can deny that IT is evolving exceptionally fast these days – there’s nothing that can replicate the combination of two unique pieces of data: Time and place.

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The Next Platform - It is not news that offloading work from CPUs to GPUs can grant radical speedups, but what can come as a surprise is that scaling of these workloads doesn’t change just because they run faster.

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IBM Cloud computing news - When you look at the rapidly evolving infrastructure as a service (IaaS) market, you might get the impression that it’s a race to the bottom with commodity hardware, inexpensive storage options, ongoing price cuts and the like.

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The Next Platform - Todd Mostak, the creator of the MapD GPU-accelerated database and visualization system, made that database because he was a frustrated user of other database technologies, and as a user, he is adamant that accelerating databases and making visualization of queried data is about more than just being a speed freak.

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Mapbox Blog - MapD, a GPU-powered database that uses Mapbox for its visualization layer, made it possible to quickly and easily interact with the data

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MarksBlogg - The ability of MapD and Bitfusion to combine GPUs to create clusters of on-demand supercomputers, will have a profound impact on the size of the potential problems that can now be tackled.

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Bloomberg - MapD’s technology -- a database and a visual analytics system -- helps customers sift through and compare data quickly. The company uses what’s called graphics processing units, or GPUs, which are often used in computer gaming, and are faster than the central processing units traditionally used to power database systems.

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The Wall Street Journal - MapD uses [GPUs] to power SQL queries. The tool has a wide variety of applications for large sets of enterprise data. It has been used for social media analytics at companies such as Facebook, business intelligence at companies the likes of Verizon and recently has even been used by government agencies.

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Nvidia Blog - The MapD database uses GPUs to process SQL queries in parallel across nearly 40,000 cores per server, yielding massive speedups over leading in-memory databases. When paired with the MapD Immerse analytics front-end, the system delivers instant visual insights into datasets with billions of records

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VentureBeat - It turns out that [MapD’s] technology can even outperform in-memory databases, but not only that; the tool can then visualize results. Or it can just send query results to existing business-intelligence tools. Or it can work as a regular database. But no matter what companies choose to do with the technology, it is distinctive.

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Silicon ANGLE - The need for faster access to business intelligence is reshaping analytics environments all the way down to the hardware level...MapD Technologies Inc. now hopes to drive a similar shift over in the server layer with a newly launched database that uses GPUs instead of Intel Corp.’s more popular x86 chips to perform data visualization.

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InfoWorld - SQL queries are compiled to native GPU code via the LLVM compiler framework, but can also be compiled and run on each node's CPUs if needed. The latter can operate as a fallback if the data set for a query doesn't fit in GPU memory.

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US News & World Report - Between 1989 and 2014, Trump donated a total of $1,219,950, according to data from the Center for Responsive Politics, obtained through the Sunlight Foundation. The video below, courtesy of MapD, a GPU-powered database and visualization platform for interactive data analytics, shows his ever-changing political allegiance.

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eWeek - Startup MapD has been using Tesla K80 accelerators on IBM Cloud for data and analytics. The solution enables multiple users to query and visualize multi-billion row data sets with latencies measured in milliseconds, achieving orders-of-magnitude increases in speed over other solutions

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Nvidia Blogs - Fast hardware is only half of the story, so at MapD we have invested heavily into optimizing our code such that a wide range of analytic workloads run optimally on GPUs. In particular, we have worked hard so that common SQL analytic operations, such as filtering (WHERE) and GROUP BY, run as fast as possible.

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VentureBeat - MapD uses graphics processing units (GPUs) to crunch Big Data — the sort that usually only rooms full of servers are able to do, but “at a fraction of the price of what a big cluster [of servers] would cost, with much greater performance.”

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Data Informed - MapD uses graphics processing units (GPUs) to crunch Big Data — the sort that usually only rooms full of servers are able to do, but “at a fraction of the price of what a big cluster [of servers] would cost, with much greater performance.”

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