Deploy OmniSci GPU Analytics Container with Kubernetes Orchestration

Describe how OmniSci GPU Analytics Community Edition docker images (CPU and GPU) are deployed in a Kubernetes environment.

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1. Deploy OmniSci GPU Analytics Container with Kubernetes Orchestration OpenShift and Kubernetes (SF Bay Area) 2018, Sunnyvale Veda Shankar, OmniSci | October 25th, 2018
2. Veda Shankar Developer Advocate , OmniSci Community veda.shankar@omnisci.com slides: https://speakerdeck.com/omnisci
3. © OmniSci 2018 Data Grows Faster Than CPU Processing Data Growth 40% per year CPU Processing Power 20% per year
4. © OmniSci 2018 4 Core Density Makes a Huge Difference
5. © OmniSci 2018 5 Advanced Memory Management
6. The Fastest Software Designed for the Fastest Hardware HARNESS GPUs
7. © OmniSci 2018 7 OmniSci Innovations Powering Extreme Analytics 3-Tier Memory Caching Query Compilation In-Situ Rendering
8. © OmniSci 2018 8
9. DEMO : OmniSci Immerse
10. © MapD 2018 © MapD 2018 1 0 OmniSci Kubernetes Deployment
11. © OmniSci 2018 11 GPU Open Analytics Initiative (GOAI) Seamless data interchange framework in GPU memory
12. © OmniSci 2018 12 GPU Open Analytics Initiative (GOAI) Creating common data frameworks to accelerate data science on GPUs
13. © OmniSci 2018 13 OmniSci ML Lab : Docker Image https://github.com/mapd/mapd-ml-workshop
14. © OmniSci 2018 14 OmniSci ML Lab : Jupyter Notebooks https://github.com/mapd/mapd-ml-demo
15. © OmniSci 2018 Four Ways to Get Started GitHub repo OPEN SOURCE Website download COMMUNITY OmniSci as a service OMNISCI CLOUD Contact sales ENTERPRISE 15 Ask questions and share your experiences @ https://community.omnisci.com
16. THANK YOU Questions, comments? veda.shankar@omnisci.com @veda_shankar