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2017 GTC San Jose

S7432 - Real-Time Analytics Powered by GPU-Accelerated Databases

Session Speakers
Session Description

To stream data in real time, organizations need to figure out how to build an effective streaming pipeline that is easy to manage, low cost, scalable, and future-proofed. To address this challenge, enterprise architects have stitched together different tools, yielding decent results on predetermined analytics. But adding new data sources, new analytics, and scale can limit its long-term value. New solutions have emerged that can ingest many disparate datasets into one platform and open up net-new analytics. We'll describe a groundbreaking in-memory database technology powered by GPUs that enables high-speed data ingest and real-time data analytics. Drawing from real-world production use cases and live demos, we'll demonstrate how it's possible to perform advanced analytical queries across billions of rows of data in under a second.


Additional Session Information
Beginner
Talk
AI Startup Accelerated Analytics Deep Learning and AI Intelligent Machines and IoT Real-Time Graphics
Software
25 minutes
Session Schedule