Accelerated Analytics, from Soup to Nuts, with Kinetica and NVIDIA GPU Cloud
In this era of extreme data, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning. With the Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud, entreprises now have a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization with the power of GPU computing across cloud, on-premises or hybrid deployment models.
By attending this webinar replay, you'll learn:
- A GPU-accelerated database can deliver up to 100x performance improvements on a fraction of the hardware of CPU-bound systems
- NVIDIA GPU Cloud makes it easy to access ready-to-run, GPU-optimized software containers
Plus demos on:
- Analyzing a 14 billion record dataset of raw mobile signal events to give a telecommunications provider new operational insight on Kinetica
- Easily finding and downloading the pre-configured Kinetica container from NVIDIA GPU Cloud
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Presented By
Chris Kawalek
Sr. Product Marketing Manager, NVIDIA
Chris has over 20 years of experience in product marketing and product management for enterprise technologies. Prior to joining NVIDIA, Chris held senior product roles at ForgeRock, Oracle, Sun Microsystems, and was a founder of Caststream.
Daniel Raskin
CMO, Kinetica
Daniel is the Chief Marketing Officer at Kinetica, where he is responsible for leading all aspects of worldwide marketing. Daniel has approximately 20 years of experience building brands and driving product leadership. Prior to joining Kinetica, he served in senior roles at ForgeRock and Sun Microsystems.
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