Mar
27
2018
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Pure Storage teams with Nvidia on GPU-fueled Flash storage solution for AI

As companies gather increasing amounts of data, they face a choice over bottlenecks. They can have it in the storage component or the backend compute system. Some companies have attacked the problem by using GPUs to streamline the back end problem or Flash storage to speed up the storage problem. Pure Storage wants to give customers the best of both worlds.

Today it announced, Airi, a complete data storage solution for AI workloads in a box.

Under the hood Airi starts with a Pure Storage FlashBlade, a storage solution that Pure created specifically with AI and machine learning kind of processing in mind. NVidia contributes the pure power with four NVIDIA DGX-1 supercomputers, delivering four petaFLOPS of performance with NVIDIA ® Tesla ® V100 GPUs. Arista provides the networking hardware to make it all work together with Arista 100GbE switches. The software glue layer comes from the NVIDIA GPU Cloud deep learning stack and Pure Storage AIRI Scaling Toolkit.

Photo: Pure Storage

One interesting aspect of this deal is that the FlashBlade product operates as a separate product inside of the Pure Storage organization. They have put together a team of engineers with AI and data pipeline understanding with the focus inside the company on finding ways to move beyond the traditional storage market and find out where the market is going.

This approach certainly does that, but the question is do companies want to chase the on-prem hardware approach or take this kind of data to the cloud. Pure would argue that the data gravity of AI workloads would make this difficult to achieve with a cloud solution, but we are seeing increasingly large amounts of data moving to the cloud with the cloud vendors providing tools for data scientists to process that data.

If companies choose to go the hardware route over the cloud, each vendor in this equation — whether Nvidia, Pure Storage or Arista — should benefit from a multi-vendor sale. The idea ultimately is to provide customers with a one-stop solution they can install quickly inside a data center if that’s the approach they want to take.

Feb
07
2018
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Intel’s latest chip is designed for computing at the edge

 As we develop increasingly sophisticated technologies like self-driving cars and industrial internet of things sensors, it’s going to require that we move computing to the edge. Essentially this means that instead of sending data to the cloud for processing, it needs to be done right on the device itself because even a little bit of latency is too much. Intel announced a new chip… Read More

Jan
08
2018
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Starry Internet and Marvell want to bust open the ISP industry

 Expanding and upgrading wireless networks requires an astounding amount of investment, both in terms of time and resources. As we head into the era of 5G connectivity, that investment only increases. But Starry Internet, founded by Chet Kanojia, is looking to lower the cost for the entire industry through a new partnership with Marvell. Partnering with Marvell, the maker of the 802.11ac and… Read More

Nov
01
2017
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Samsung now offers an Enterprise Edition of the Note 8 for business

 The push to let employees bring their own devices to work has been underway for some time now — in fact, it’s a big part of what ultimately doomed enterprise-focused companies like BlackBerry’s hardware businesses. Samsung’s been walking the line for a while as well, rolling out enterprise features like Knox security for its consumer handsets, along with accessories… Read More

Oct
19
2017
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Swedish lock giant Assa Abloy acquires smart lock maker August Home

 The smart home market continues to heat up, and the legacy giants do not want to get locked out: quite literally. This morning, Assa Abloy, the $23 billion Swedish lock giant that owns Yale and many other brands — announced that it is buying US-based smart lock maker August Home to double down on new technology. Terms of the deal are not being disclosed but we have asked both August… Read More

Oct
05
2017
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Google Compute Engine goes a little crazy with up to 96 CPU cores and 624 GB of memory

 If you’ve got a resource-hungry app, Google Compute Engine’s latest offering has you covered. It lets you dial up to 96 CPUs and an other-worldly 624 GB of memory. Remember Bill Gates asking who would ever need more than 64K of memory. He obviously didn’t see this coming. If you think that’s a lot, you aren’t kidding, and believe it or not it’s a big boost… Read More

Sep
15
2017
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Why Dropbox decided to drop AWS and build its own infrastructure and network

 There is always a tension inside companies about whether to build or to buy, whatever the need. A few years ago Dropbox decided it was going to move the majority of its infrastructure requirements from AWS into its own data centers. As you can imagine, it took a monumental effort, but the company believed that the advantages of controlling its own destiny would be worth all of the challenges… Read More

Sep
07
2017
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Canvas’ robot cart could change how factories work

We stopped by Andy Rubin’s Playground in Palo Alto to check out a new autonomous cart from Canvas Technologies. The startup aims to replace existing fixed and expensive factory infrastructure, like conveyor belts, with its lightweight and adaptable computer-vision-powered cart. Read More

Aug
22
2017
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Microsoft Brainwave aims to accelerate deep learning with FPGAs

 This afternoon Microsoft announced Brainwave, an FPGA-based system for ultra-low latency deep learning in the cloud. Early benchmarking indicates that when using Intel Stratix 10 FPGAs, Brainwave can sustain 39.5 Teraflops on a large gated recurrent unit without any batching. Read More

Aug
22
2017
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The top 7 startups from Y Combinator S’17 Demo Day 1

 A stem cell cryobank, self-flying personal planes and an augmented reality data platform were amongst the highlights of the Y Combinator Summer 2017 Demo Day part 1. Based on investor buzz and what caught the eye of TechCrunch’s writers, click or scroll through to see our picks for day 1’s top 7 startups. Read More

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