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The Cloud vs On-Prem Debate is Over. Just Do Both.

Posted by Tyler Whitehouse on Apr 15, 2021 7:18:06 PM

When it comes to GPUs, the "cloud vs on-prem" debate is resolved. The answer is just do both. 

While that sounds crazy, it is now possible.

The first part of the story is an emerging class of GPU enabled "data science workstations", i.e. evolved & leaner versions of gaming & design machines. For roughly the price of a high end Mac, vendors (Dell, HPLenovo ) now offer laptops with a powerful NVIDIA GPU that you can use whenever & wherever you want.

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Topics: Data Science, Nvidia, Multi-Cloud, On-Premises, GPU

GPU Dashboards and DataFrames with Nvidia RAPIDS

Posted by Dav Clark on Jun 11, 2020 3:00:38 PM

In this post, we explore some of the cutting edge tools coming out of the RAPIDS group at Nvidia. This highlights yet another use-case for the portability provided by the Gigantum Client - we're going to make it easy to try out an evolving code base that includes some fussy dependencies. This post revisits some skills we picked up in our previous post on Dask dashboards, so be sure to check that post if you're interested in parallel computing!

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Topics: Data Science, Nvidia, RAPIDS