NVIDIA WEBINAR
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Date: January 22, 2020
Time: 3:00pm – 4:00pm IST
Duration: 1 hour
Time: 3:00pm – 4:00pm IST
Duration: 1 hour
GPU-accelerated analytics to redefining speed and scale in data querying and visualization. GPU is used to find insights in data beyond the limits of mainstream analytics tools.
From automating workflows to improving processing speed and quality, software/database using GPU as compute source can be used to derive analytics from the data much faster then the tradition CPU based software/databases.
By watching this webinar, you will learn:
- New candidates in the analytics domain using GPU for compute and drastic speed improvement in querying data and visualization.
- A hands-on demonstration of tools capable of replacing the traditional SQL based databases with GPU powered SQL databases.
- A below given tools for data querying and their usage in different scenarios.
- CuDF/Rapids
- BlazingSQL
- Omnisci
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
Sunil Patel
Senior Solutions Architect- Deep Learning, NVIDIA
Working as a Deep Learning Senior Solutions Architect for NVIDIA. Sunil is skilled in applying research to develop end-to-end deep learning applications. Sunil works primarily in the BFSI sector. He understands the challenges in the BFSI sector faced by customers in the querying and visualizing huge amount of data in Realtime. His current research areas include – Adversarial networks, NLP and unreal engines.
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