Nvidia made a lot of big bets to bring its “Pascal” GP100 GPU to market and its first implementation of the GPU is aimed at its Tesla P100 accelerator for radically improving the performance of massively parallel workloads like scientific simulations and machine learning algorithms. The Pascal GPU is a beast, in all of the good senses of that word, and warrants a deep dive that was not possible on announcement day back at the GPU Technology Conference.
We did an overview of the chip back on announcement day, as well as talking about Nvidia’s own DGX-1 hybrid server …
Drilling Down Into Nvidia’s “Pascal” GPU was written by Timothy Prickett Morgan at The Next Platform.
Russ White wrote a great response to my “Do You Really Want to Write that Book?” blog post and I couldn’t agree more with what he wrote. Unfortunately, he seems to be a bit over-idealistic when analyzing why the market for high-end content is so small.
You know I usually have a cynical explanation handy, so here it is: too many people calling themselves engineers for no particular reason simply don’t care. It’s way easier to Google-and-paste your way around than to invest time in understanding the fundamentals.
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Manuel Rivelo has a new gig with a Payoda spinoff.