Carey Kloss has been intimately involved with the rise of AI hardware over the last several years, most notably with his work building the first Nervana compute engine, which Intel captured and is rolling into two separate products: one chip for training, another for inference. …
Without the right kind and the right amount of I/O between the components of a system, all of the impressive feeds and speeds of the individual components don’t amount to more than a pile of silicon and sheet metal. …
If there is anything we are learning about the emerging chip ecosystem for AI inference, it is that it is vast, rapidly evolving, and incredibly diverse. …
We have followed a fair number of system trends for the oil and gas industry over the years. …
There are two trends converging in AI inference and so far, only a small number of companies are enmeshed. …
Wave Computing was one of the earliest AI chip startups that held significant promise, particularly with its initial message of a single architecture to handle both training and inference. …
At The Next AI Platform event in May, we brought together a few leading investors on the deep learning chip front to talk about how they consider architecture, software, competitiveness, and market potential from the various approaches for both training and inference. …
There is little question that storage and I/O are hot topics once again with the arrival of a host of new technologies that displaced the tried and true from decades past (disk, bulky parallel file systems, etc.). …
Whether we want to term it HPC, AI, hyperscale, or something in between to apply to large-scale enterprise, there are fundamental changes afoot for big organizations with large clusters that are doing double (or quadruple) duty with production workloads and the new integration of machine learning. …
Earlier in May during The Next AI Platform event in San Jose, we conducted live, technical interviews with a broad range of experts in various areas of deep learning hardware. …
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