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Oracle Steps With Moore’s Law To Rev Exadata Database Machines

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. But the time it takes is getting smaller, and Oracle has absorbed a slew of new tech in its latest Exadata X6-2 platforms.

The updated machines are available only weeks after Intel launched its new “Broadwell” Xeon E5 v4 processors, which have been shipping

Oracle Steps With Moore’s Law To Rev Exadata Database Machines was written by Timothy Prickett Morgan at The Next Platform.

Boosting Deep Learning with the Intel Scalable System Framework

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.

While the training procedure is computationally expensive, evaluating the resulting trained neural network is not, which explains why trained networks can be extremely valuable as they have the ability to very quickly perform complex, real-world pattern recognition tasks on a variety of low-power devices including security cameras, mobile phones, wearable technology. These architectures can also be implemented on FPGAs

Boosting Deep Learning with the Intel Scalable System Framework was written by Nicole Hemsoth at The Next Platform.

Hyperscalers And Clouds On The Xeon Bleeding Edge

Hyperscalers and cloud builders are different in a lot of ways from the typical enterprise IT shop. Perhaps the most profound one that has emerged in recent years is something that used to be only possible in the realm of the most exotic supercomputing centers, and that is this: They get what they want, and they get it ahead of everyone else.

Back in the day, before the rise of mass customization of the Xeon product line by chip maker Intel, it was HPC customers who were often trotted out as early adopters of a new processor technology and usually

Hyperscalers And Clouds On The Xeon Bleeding Edge was written by Timothy Prickett Morgan at The Next Platform.

Concept Data Tower Scrapes The Sky For Efficiency

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. Considering that data and processing are the most profitable products on the planet these days, maybe this is suitable and fitting, but another way to look at it is that datacenters should not only be marvels of engineering but also inspiring structures like other kinds of buildings.

Every year, the architecture magazine Evolo hosts a skyscraper design competition so that architects can let their

Concept Data Tower Scrapes The Sky For Efficiency was written by Timothy Prickett Morgan at The Next Platform.

Micron Enlists Allies For Datacenter Flash Assault

If component suppliers want to win deals at hyperscalers and cloud builders, they have to be proactive. They can’t just sit around and wait for the OEMs and ODMs to pick their stuff like a popularity contest. They have to engineer great products with performance and then do what it takes on price, power, and packaging to win deals.

This is why memory maker Micron Technology is ramping up its efforts to get its DRAM and flash products into the systems that these companies buy, and why it is also creating a set of “architected solutions” focused on storage that

Micron Enlists Allies For Datacenter Flash Assault was written by Timothy Prickett Morgan at The Next Platform.

Datera Bets on Massive Middle Ground for Block Storage at Scale

For those who wonder what kind of life is left in the market for elastic block storage beyond Ceph and the luxury all-flash high rises, Datera, which emerged from stealth today with $40 million in backing and some big name users, has a tale to tell. While it will likely not end with blocks, these do form the foundation as the company looks to reel in enterprises who need more scalable performance than they might find with Ceph but aren’t looking to the high-end flash appliances either.

The question is, what might the world do with an on-premises take

Datera Bets on Massive Middle Ground for Block Storage at Scale was written by Nicole Hemsoth at The Next Platform.

Spark On Superdome X Previews In-Memory On The Machine

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.

To get a sense of how The Machine might do on in-memory workloads that normally run on clusters that have their memory distributed, researchers at HPE Labs have fired up the Spark in-memory framework on a Superdome X shared

Spark On Superdome X Previews In-Memory On The Machine was written by Timothy Prickett Morgan at The Next Platform.

Nvidia Not Sunsetting Tesla Kepler And Maxwell GPUs Just Yet

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. As it turns out, the various GPUs used in Nvidia’s Tesla accelerators look like they, too, will have very long technical and economic lives.

Even after a new technology is introduced, sometimes the old one can be had at a much cheaper price and therefore continues to be a good price/performer even after it has been presumably obsoleted by an improved product. Its

Nvidia Not Sunsetting Tesla Kepler And Maxwell GPUs Just Yet was written by Timothy Prickett Morgan at The Next Platform.

IBM Unfolds Power Chip Roadmap Out Past 2020

There are two things that underdogs have to do to take a big bite out of a market. First, they have to tell prospective customers precisely what the plan is to develop future products, and then they have to deliver on that roadmap. The OpenPower collective behind the Power chip developed did the first thing at its eponymous summit in San Jose this week, and now it is up to the OpenPower partners to do the hard work of finishing the second.

Getting a chip as complex as a server processor into the field, along with its chipsets and memory

IBM Unfolds Power Chip Roadmap Out Past 2020 was written by Timothy Prickett Morgan at The Next Platform.

IBM Watson CTO on What’s Ahead for Cognitive Computing

After close to twenty years at IBM, where he began as an IBM Fellow and Chief Architect for the SOA Foundation, Rob High has developed a number of core technologies that back Big Blue’s enterprise systems, including the suite of tools behind IBM WebSphere, and more recently, those that support the wide-ranging ambitions of the Watson cognitive computing platform.

Although High gave the second day keynote this afternoon at the GPU Technology Conference, there was no mention of accelerated computing. Interestingly, while the talk was about software, specifically the machine learning behind Watson, there was also very little about the

IBM Watson CTO on What’s Ahead for Cognitive Computing was written by Nicole Hemsoth at The Next Platform.

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