The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...
In this video from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases. In this session we will present an ...
VAST Data introduced a new AI cloud architecture based on Nvidia's BlueField-3 DPU technology. The architecture is designed to improve performance, security, and efficiency for AI data services. The ...
Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...
Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...
The rapid transformation of data from a tool and by-product of information systems to a critical business asset has seen the role of the data architect propelled upwards in most data-heavy ...
Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...
Based on a parallel processing architecture, the eXtreme Processor is touted as the industry's most powerful 32-bit processor. Capable of sustainable peak performance in excess of 50 GOPS, the first ...
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