In the last couple of years, we have examined how deep learning shops are thinking about hardware. From GPU acceleration, to CPU-only approaches, and of course, FPGAs, custom ASICs, and other devices, there are a range of options—but these are still early days. The algorithmic platforms for deep learning are still evolving and it is incumbent on hardware to keep up. Accordingly, we have been seeing more benchmarking efforts of various approaches from the research community.
This week yielded a new benchmark effort comparing various deep learning frameworks on a short list of CPU and …
CPU, GPU Put to Deep Learning Framework Test was written by Nicole Hemsoth at The Next Platform.
Agile Controller 3.0 targets SD-WAN and IoT.
With The Linux Foundation taking charge of Open vSwitch, a new future for the open source project takes shape.
To protect the network, you need to understand how attackers think and use their techniques to test your network security.
Eluehike Chedu asked an interesting question after my explanation of why stretched ACI fabric (or alternatives, see below) is the least horrible way of stretching a subnet: What about OTV?
Time to go back to the basics. As Dinesh Dutt explained in our Routing on Hosts webinar, there are (at least) three reasons why people want to see stretched subnets:
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