In the News
SearchDataManagement - GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.
Read More >EM360 - Big data is everywhere, hiding beneath the surface of every interaction, waiting to be collected and repurposed as a profit-making decision.
Read More >Network World - New storage, servers and hyperconvergence products debut at Dell Technologies World
Read More >The Official NVIDIA Blog - Our partner, MapD, made its own news during GTC 2018, when it launched MapD Cloud, the world’s first software-as-a service offering GPU-accelerated analytics.
Read More >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.
Read More >ZDNet - Nvidia's GTC 2018 event spotlights a playbook that goes far beyond chips and servers. Get set for next era of training, inferencing, and accelerated analytics.
Read More >Nvidia - For businesses trying to stay competitive, it’s not easy to learn from increasingly vast volumes of data, cope with the complexity of analysis or keep up with siloed analytics solutions while on legacy infrastructure.
Read More >Sensors and Systems - Unlike mainstream analytics tools, the MapD platform is designed and engineered specifically for extreme scale and speed, making it perfectly suited to use cases involving large volumes, and high velocity, of structured data
Read More >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
Read More >Das Silicon Valley bringt erfolgreiche und weniger erfolgreiche Start-ups hervor. Fünf Daten-Management-Unternehmen, die den erfolgreichen Weg gehen möchten.
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