THE RYFT BLOG
PERFORMANCE WITH PURPOSE


by Leslie Denson

We’re looking forward to attending our first Elastic{ON} conference next week! Search based analytics are a critical function for any organization, and Elasticsearch has received wide-scale adoption as one of the most popular open source tools used today. Next week, users and developers alike will converge in San Francisco to learn how to get the […]

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by Leslie Denson

Amazon’s been making waves the past few weeks after announcing that Amazon Web Services’ customers will soon have access to FPGA-based heterogeneous compute power with their new F1 instances. This new offering is a great step forward to putting the power of heterogeneous compute into the hands of everyone, but there are still several questions that […]

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by Pat McGarry

Running complex analytics against massive amounts of all types of data—legacy, streaming, structured, semistructured and unstructured—is a difficult challenge.  At Ryft, we’ve blazed the trail to solve this struggle with FPGA/x86 heterogeneous compute accelerators that eliminate data preparation latency and make data discovery fast and simple. But until now, only companies willing to modernize their […]

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by Pat McGarry

Every analyst knows that data preparation steps like ETL and indexing add significant latency to the analytics process. But until now, those steps were necessary to normalize data to speed and scale analytics. In part three of this series on transforming high performance analytics (see part 1 and part 2), we’ll show you how the […]

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by Pat McGarry

In the new era of fast data, we must free analytic performance from the prison of x86 and GPU sequential processors, which are architecturally incapable of scaling to analyze and identify trends and anomalies in massive quantities of data. Don’t get me wrong—these processors have their place, but most CPU and GPU clusters max out […]

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