OmniSci on NVIDIA-Powered Data Science Workstations

With more data available than ever before for data scientists, it’s crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real-world benefits.

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1. OmniSci on NVIDIA-Powered Data Science Workstations April 25, 2019
2. © OmniSci 2018 @_arw_ aaron@omnisci.com /in/aaronwilliams/ /williamsaaron slides: https://speakerdeck.com/omnisci Aaron Williams VP, Global Community
3. © OmniSci 2018 © OmniSci 2018
4. © OmniSci 2018 4 * open source for single node github.com/omnisci/mapd-core
5. © OmniSci 2018 5 Fast Hardware ( ) + Fast Software 3-Tier Memory Caching Query Compilation In-Situ Rendering
6. © OmniSci 2018 US Ships 11B Ship Telemetry Points public demo: https://www.omnisci.com/demos/ships/
7. © OmniSci 2018 TweetMap Custom App Real-time Streaming public demo: https://www.omnisci.com/demos/ships/
8. © OmniSci 2018 NYC Taxis 1B Taxi Rides + 1M Buildings public demo: https://omnisci.com/demos/taxis/
9. © OmniSci 2018 © OmniSci 2018 • omnisci.com/demos Play with our live demos for yourself! • omnisci.cloud Get an OmniSci instance in 60 seconds • omnisci.com/platform/downloads/ Download a 30-day trial of OmniSci • community.omnisci.com Ask questions and share your experiences OmniSci Self Discovery
10. © OmniSci 2018 @_arw_ aaron@omnisci.com /in/aaronwilliams/ /williamsaaron slides: https://speakerdeck.com/omnisci Aaron Williams VP, Global Community Thank you!