The need for high-powered computing isn’t going away. Enterprises trying to corral the massive amounts of data they’re generating and adopting emerging technologies like machine learning are demanding the sort of HPC capabilities that not too long ago were reserved for research and educational institutions. …
In emerging computing fields like quantum computing and neuromorphic computing, hardware usually grabs the lion’s share of attention. …
In Nvidia’s decade and a half push to make GPU acceleration core to all kinds of high performance computing, a key component has been the CUDA parallel computing platform that made it easier for developers to create applications that can leverage graphics chips for general purpose processing. …
James Clarke believes quantum computing won’t become practical until the industry is making chips crammed with upwards of a million error-corrected quantum bits. …
While there is a lot of hype, there is no question that quantum computers are going to revolutionize computing. …
LG Electronics plans to explore quantum applications with IBM in the coming years with emphasis on areas as diverse as AI, IoT, robotics, and analytics on the table for potential quantum speedups. …
Ask any quantum computing startup (and there are too many count) about the rate of enterprise adoption for the emerging technology and the response will be quick: Fortune 500s are all investing heavily. …
And actually, one could say it is also far more than it appears. …
…In the history of defense technology contracting, two companies continue to loom large: IBM and Raytheon.
These are still early days for quantum computing, far too soon to talk about domain-specific quantum systems. …
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