Supercomputer maker Cray might not roll out machines for deep learning anytime in 2016, but like other system vendors with deep roots in high performance computing, which leverages many of the same hardware elements (strong interconnect and GPU acceleration, among others), they are seeing how to loop their expertise into a future where machine learning rules. …
Deep learning could not have developed at the rapid pace it has over the last few years without companion work that has happened on the hardware side in high performance computing. …
Absorbing a collection of new processing, memory, storage, and networking technologies in a fast fashion on a complex system is no easy task for any system maker or end user creating their own infrastructure, and it takes time even for a big company like Oracle to get all the pieces together and weld them together seamlessly. …
Training ‘complex multi-layer’ neural networks is referred to as deep-learning as these multi-layer neural architectures interpose many neural processing layers between the input data and the predicted output results – hence the use of the word deep in the deep-learning catchphrase. …
Hyperscalers and cloud builders are different in a lot of ways from the typical enterprise IT shop. …
We talk about architecture all the time when discussing systems, but when it comes to the datacenters that house these machines, the shells are about as exciting as a monstrous warehouse for a massive distribution operation. …
As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated and composable systems that are heavy on persistent storage that sometimes functions like shared memory, on various kinds of compute, and on the interconnects between the two. …
Switch chips have a very long technical and economic lives, considerably longer than that of a Xeon processor used in a server – something on the order of seven or eight years compared to three or four. …
There are two things that underdogs have to do to take a big bite out of a market. …
The OpenPower effort to create an alternative to the Xeon architecture in the datacenter just got a whole lot more real now that hyperscaler Google and cloud builder Rackspace Hosting have agreed to partner on a future server design based on IBM’s future Power9 processor that both companies intend to deploy in their datacenters. …
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