When many think of the Internet of Things (IoT) and connected vehicles from a compute perspective, the first thing that springs to mind is likely the small processors that are hard at work sensing, analyzing, and feeding data to remote systems. …
One of the biggest storage decisions being considered by customers nowadays is how they want to manage their data: as cloud-like objects or as traditional files. …
Arm server development is a reality and a growing one at that. …
The Next Platform has been tracking momentum with FPGAs over the last several years with particular emphasis on the role programmable devices will continue to play in application acceleration as well as in computational storage and modern datacenter networks. …
There is much at stake in the world of datacenter inference and while the market has not yet decided its winners, there are finally some new metrics in the bucket to aid decision-making. …
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …
Micron has a habit of building interesting research prototypes that offer a vague hope of commercialization for the sheer purpose of learning how to make its own memory and storage subsystem approaches more tuned to next generation applications. …
If the only thing you really know to date about machine learning chip startup, Groq, is that it is led by one of the creators of Google’s TPU and that will target inference, don’t worry, you didn’t miss something. …
It used to be far easier to talk about storage performance, cost, and options. …
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