In the News
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.
Read More >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.
Read More >siliconANGLE - MapD Technologies Inc., a fast-rising analytics startup backed by the likes of New Enterprise Associates and Nvidia Corp., beefed up its product lineup today in a bid to open new growth opportunities.
Read More >Datanami - MapD Technologies, the leader in GPU-powered analytics, today released the MapD Core database to the open source community under the Apache 2 license, seeding a new generation of data applications.
Read More >SD Times - Data science and deep learning app leaders are coming together to form the GPU Open Analytics Initiative
Read More >siliconANGLE - Artificial intelligence applications aren’t the only kind of enterprise workload that can take advantage of graphics processing units.
Read More >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).
Read More >Fortune - MapD, a startup that uses powerful graphics chips for intensive data crunching jobs, has received $25 million in new funding.
Read More >The Next Platform - There is an arms race in the nascent market for GPU-accelerated databases, and the winner will be the one that can scale to the largest datasets while also providing the most compatibility with industry-standard SQL
Read More >InfoWorld - MapD 3.0 appeals to enterprises with native scale-out, high availability, and ODBC connectivity, but hybrid cloud deployments will have to wait
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