John Morris

Contributor

John Morris is a former executive editor at CNET Networks and senior editor at PC Magazine. He now works for a private investment firm, which may at any time invest in companies whose products are discussed in this blog, and no disclosure of securities transactions will be made. No investment advice is offered in this blog. All duties are disclaimed.

John Morris is a former executive editor at CNET Networks and senior editor at PC Magazine. He now works for a private investment firm, which may at any time invest in companies whose products are discussed in this blog, and no disclosure of securities transactions will be made. No investment advice is offered in this blog. All duties are disclaimed.

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​Intel pushes FPGAs into the data center

​Intel pushes FPGAs into the data center

GPUs are not the only game in town. FPGAs are also gaining traction in data centers to speed up a wide range of applications, but they still require lots of expertise. Intel aims to make it easier for the rest of the world to use programmable logic for server acceleration.

October 5, 2017 by

Why Intel built a neuromorphic chip

Why Intel built a neuromorphic chip

Intel is already working on several chips designed to train and run deep neural networks faster. With Loihi, the chipmaker hopes to solve a whole different class of AI problems.

September 29, 2017 by

AI processors go mobile

AI processors go mobile

Deep learning is already having a big impact in the data center. Now it is moving to the edge as chipmakers add neural engines to mobile processors. But Qualcomm, Intel and others are taking very different approaches.

September 19, 2017 by

​Computex 2017: AMD stakes its claim to the high ground

​Computex 2017: AMD stakes its claim to the high ground

Earlier this year AMD released Ryzen, announced Epyc, unveiled its first Vega graphics card and teased a 16-core desktop chip. Yet it still managed to make some news at Computex, where it also argued the combination of its new CPUs and GPUs can deliver the best overall performance per dollar.

May 31, 2017 by

​Nvidia makes the case for GPU accelerators

​Nvidia makes the case for GPU accelerators

Moore's Law is slowing down as emerging AI workloads are demanding more performance. But Nvidia says it's got a plan. At this year's GPU Technology Conference, it announced powerful hardware and software for deep learning.

May 18, 2017 by

AMD says it's back to stay

AMD says it's back to stay

At its analyst day, the chipmaker revealed new details of upcoming server, PC and graphics products that will make it more competitive, and said it has a plan to stay there for the long haul.

May 17, 2017 by

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