Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. 
This episode is brought to you by the <a href="https://aws.amazon.com/ai/machine-learning/trainium/">Trainium2, the latest AI chip from AWS</a>, by <a href="http://odsc.ai/">ODSC, the Open Data Science Conference</a> and by <a href="http://gurobi.com/learn">Gurobi.</a>

Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠<a href="https://www.superdatascience.com/921">⁠⁠⁠www.superdatascience.com/921</a>⁠⁠⁠⁠⁠

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
<ul>
 <li>(04:18) Why Windows still outranks other operating systems</li>
</ul>
<ul>
 <li>(20:58) The difference between GPUs and NPUs</li>
</ul>
<ul>
 <li>(32:44) How to access and use Dell’s NPUs and GPUs</li>
</ul>
<ul>
 <li>(49:08) Using processing units on the cloud versus locally</li>
</ul>
<ul>
 <li>(57:43) About the Dell Pro Max</li>
</ul>

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921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta

Super Data Science: ML & AI Podcast with Jon Krohn

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