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2017 GTC San Jose
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S7433 - How to Achieve Real-Time Analytics on a Data Lake Using GPUs

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Session Description

The complexities associated with development and ongoing management of a data lake that aims to deliver real-time analytic response can be costly and overwhelming. To get real-time analytic response on live, streaming data, consider plugging a GPU-accelerated database into your data lake. GPUs are often embedded in compute-intensive technologies like video games, cars, and mobile devices. They're now gaining traction in the data center. This talk will describe how a GPU-accelerated, scale-out, in-memory database brings orders of magnitude more compute power, with a significantly smaller hardware footprint, to provide unrivaled analytic capabilities. Get the latest information on GPUs, and how their multi-core architecture can process many computations efficiently and quickly, making them ideal for today's streaming datasets and IoT use cases.


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