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. …
Given our focus on the systems-level of AI machine building, storage was a big topic of discussion at the sold-out Next AI Platform event we hosted in May. …
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. …
At The Next AI Platform event on May 9 in San Jose, we brought together a wide range of people leading the charge throughout the AI infrastructure stack. …
Storage is no longer an afterthought when it comes to systems of any reasonable scale. …
The CPU does not rule the computing roost when it comes to machine learning training, but it still has a role when it comes to machine learning inference and for other kinds of data analytics related to machine learning. …
Hardware is the most tangible part of any system, and it is the aspect of the system that tends to get the most attention. …
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