The Future of GPU Analytics Using NVIDIA RAPIDS and Graphistry

Posted by Graphistry Team on Oct 22, 2018

When everything runs on GPUs, we can fundamentally shift the way we experience data analysis much like video moving to HD or shifting from black-and-white to color. What if you could load your full dataset, ask whole-table questions like what are the patterns, and get the answers... immediately? What if you could do that visually, replacing writing queries with simple infinite zoom and direct manipulations down to the level of individual data points? Core analytics areas like security, fraud, operations, and customer 360 are entering this sci-fi-level world of rapid hypothesis iteration.

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Topics: Apache Arrow, GPU, Visualization, Graph

Connecting JS to modern GPU and ML frameworks: Update from Nvidia GTC 2018

Posted by Graphistry Team on Apr 4, 2018

The Graphistry team is excited to report: production-grade open GPU compute is coming to JavaScript with the Apache Arrow[JS] project and GOAI. We have been contributing to these projects because they are big enablers for the web. In our case, that means we can build best-of-class visual fastpaths for security and fraud teams struggling to investigate through tools like Splunk, Elastic, and Hadoop.

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Topics: Apache Arrow, GPU, JavaScript, Visualization, Graph

Supercharging Visualization with Apache Arrow

Posted by Graphistry Team on Jan 5, 2018

A key part of making big data useful is figuring out how to deliver the massive power of GPUs to  standard commodity browsers in a way that is both fast and interactive. This is a major area of innovation for us at Graphistry, and we recently got a chance team up with our friends over at Dremio to talk about how we are using Apache Arrow to change how data is visualized in the browser.  Take a look and let us know what you think.

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Topics: Apache Arrow, Browser