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If you are trying to figure out what impact the new “Pascal” family of GPUs is going to have on the business at Nvidia, just take a gander at the recent financial results for the datacenter division of the company. If Nvidia had not spent the better part of a decade building its Tesla compute business, it would be a little smaller and quite a bit less profitable.
In the company’s first quarter of fiscal 2017, which ended on May 1, Nvidia posted sales of $1.31 billion, up 13 percent from the year ago period, and net income hit $196 …
Tesla Pushes Nvidia Deeper Into The Datacenter was written by Timothy Prickett Morgan at The Next Platform.
We’ve all heard it by now: you’d better learn to code, or your network engineering career is going to die a quick (and potentially painful) death. Maybe you could still act as a briefcase carrier, and call yourself a consultant, but without coding skills, you’re open ended job is going to become a dead end, and you’ll be a has been. While just about everyone has weighed in on this topic recently, I don’t know if anyone has, IMHO, really dug down to the bottom of the question. Permit me to give it a try (and feel free to disagree in the comments).
To get to the point, allow me to summarize both sides of the argument (hopefully without building and straw men along the way). On one side are folks who say that the Command Line Interface (CLI) is dead, and that we must learn to automate everything. Part of the argument here seems to be that without automation, we won’t be able to keep the operational costs (OPEX) down; as networks are primarily a cost center (rather than a strategic asset), driving costs down is one of the most important tasks a network engineer can take on. That, Continue reading
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