The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate prediction and genomics to particle physics and drug discovery. …
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. …
Habana Labs has unveiled the Gaudi HL-2000, a custom-built AI processor that the company claims can outrun Nvidia’s best and brightest GPUs at training neural networks. …
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. …
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. …
We have to admit that it is often a lot more fun watching an upstart carve out whole new slices of business, or create them out of what appears to be thin air, in the datacenter than it is to watch how it will respond to intense competitive pressures and somehow manage to keep growing despite that. …
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.). …
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