Intel Throws Down AI Gauntlet With Neural Network Chips
At this year’s Intel AI Summit, the chipmaker demonstrated its first-generation Neural Network Processors (NNP): NNP-T for training and NNP-I for inference. …
At this year’s Intel AI Summit, the chipmaker demonstrated its first-generation Neural Network Processors (NNP): NNP-T for training and NNP-I for inference. …
When you are always looking for what platform architecture will be mainstream, you have to look at what those on the bleeding edge are doing to see what the leading edge might do, which in turn tells you what everyone else might eventually do. …
Training deep neural networks is one of the more computationally intensive applications running in datacenters today. …
If this is truly the age of heterogeneous supercomputers, then the system installed earlier this month at the University of Tsukuba is its poster child. …
In a wide-ranging keynote address that ran nearly three hours at the GPU Technology Conference in San Jose, Nvidia co-founder and chief executive officer Jensen Huang talked up the company’s successes and new products across its graphics, robotics, and AI and HPC lineups. …
The hyperscalers and cloud builders of the world build things that often look and feel like supercomputers if you squint your eyes a little, but if you look closely, you can often see some pretty big differences. …
A group of researchers at Sandia National Laboratories have developed a tool that can cross-train standard convolutional neural networks (CNN) to a spiking neural model that can be used on neuromorphic processors. …
These are challenging times for Intel. Long – and still – the dominant chip maker in the datacenter with its battle-tested Xeon processors, the company is now seeing challenges everywhere. …
When it comes to machine learning, a lot of the attention in the past six years has focused on the training of neural networks and how the GPU accelerator radically improved the accuracy of networks, thanks to its large memory bandwidth and parallel compute capacity relative to CPUs. …
Over the last few years we have detailed the explosion in new machine learning systems with the influx of novel architectures from deep learning chip startups to efforts from vendors and hyperscalers alike. …
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