Title: Deploy OmniSci GPU Analytics Container with Kubernetes Orchestration
Kubernetes is the leading open source container management platform with advanced features and a large community of developers and users. OmniSci (formerly MapD) is also emerging as an indispensable open source GPU accelerated analytics tool for data scientists that provides unprecedented interactivity with massive datasets.
Learn how to deploy OmniSci docker image in a Kubernetes setup either using a GPU-enabled or a CPU-only node, the methodology applies to both on-premise and public cloud deployments.
You will also learn how OmniSci’s GPU based visual analytics platform plays an integral role in the Machine Learning pipeline using GOAI (GPU Open Analytics Initiative) project.
Agenda:
6:00PM onwards - Food and Drinks
7:00PM - Presentation
Overview of OmniSci Core - GPU Accelerated SQL Engine
Overview of OmniSci Immerse - Visual Analytics Platform
Description of Kubernetes/OpenShift Origin Testing Infrastructure
Demo - Deploying the GPU & CPU version of OmniSci Community Edition Docker image
Machine Learning Pipeline with OmniSci & GPU Data Frame (GDF)
Speaker:
Veda Shankar, OmniSci (formerly MapD)
Sponsors:
OmniSci (formerly MapD): http://omnisci.com
RAVV: http://ravv.com
Newstar: https://newstar-online.com
#DevOps #CloudOps #Kubernetes #Docker #DataAnalytics #ML #Infra #AWS #Azure #Goggle #Cloud
#Omnisci #MapD #RAVV #RedHat #Newstar
#SFBayArea #SouthBay
