MapR just announced QSS, a new offering that enables the training of complex deep learning algorithms. We take a look at what QSS can offer, and examine AI on the Hadoop landscape.

This week MapR announced a new solution called Quick Start Solution (QSS), focusing on deep learning applications. MapR touts QSS as a distributed deep learning (DL) product and services offering that enables the training of complex deep learning algorithms at scale.

Here’s the idea: deep learning requires lots of data, and it is complex. If MapR’s Converged Data Platform is your data backbone, then QSS gives you what you need to use your data for DL applications. It makes sense, and it is in line with MapR’s strategy.

MapR is the first Hadoop vendor with an offering that is marketed as what we’d call artificial intelligence (AI) on Hadoop. But does AI on Hadoop make sense more broadly? And what are other Hadoop vendors doing there?

Remember when Hadoop first came out? It was a platform with many advantages, but required its users to go the extra mile to be able to use it. That has changed. Now Hadoop is a burgeoning ecosystem, and a big part of its success is due to what we call SQL-on-Hadoop.

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