Founded in 2014, California-based Nervana offers a hosted platform for deep learning that’s optimized “from algorithms down to silicon” to solve machine-learning problems, the startup says.

Businesses can use its Nervana cloud service to build and deploy applications that make use of deep learning, a branch of AI used for tasks like image recognition and uncovering patterns in large amounts of data.

Also of interest to Intel, Nervana is developing a specialty processor, known as an ASIC, that’s custom built for deep learning.

Financial terms of the deal were not disclosed, but one estimate put the value above $350 million.

“We will apply Nervana’s software expertise to further optimize the Intel Math Kernel Library and its integration into industry standard frameworks,” Diane Bryant, head of Intel’s Data Center Group, said in a blog post. Nervana’s expertise “will advance Intel’s AI portfolio and enhance the deep-learning performance and TCO of our Intel Xeon and Intel Xeon Phi processors.”

Though Intel also acquired AI firm Saffron late last year, the Nervana acquisition “clearly defines the start of Intel’s AI portfolio,” said Paul Teich, principal analyst with Tirias Research.

“Intel has been chasing high-performance computing very effectively, but their hardware-design teams missed the convolutional neural network transition a few years ago,” Teich said. CNNs are what’s fueling the current surge in artificial intelligence, deep learning and machine learning.

As part of Intel, Nervana will continue to operate out of its San Diego headquarters, cofounder and CEO Naveen Rao said in a blog post.

The startup’s 48-person team will join Intel’s Data Center Group after the deal’s close, which is expected “very soon,” Intel said.

Source- http://www.thegurureview.net/aroundnet-category/intel-to-acquire-deep-learning-company-nervana.html

Snowy Owl has 16 cores and 32 threads, all based on 14nm FinFET Zen transistors. The processor supports up to 32MB of shared L3 cache. We also mentioned a processor cluster codenamed Zeppelin. This seems to be the key to the Zen architecture as more Zeppelin clusters are creating more core Opterons.

Each Zeppelin has eight Zen cores and each Zen core has 512KB dedicated L2 cache memory. Four Zen cores share 8MB of L3 memory making the total L3 cache size  16MB.  Zeppelin (ZP) comes with PCIe Gen 3, SATA 3, 10GbE, sever controller Hub, AMD secure processor as well as the DDR4 Memory controller. AMD is using a super-fast coherent interconnect to create more than one Zeppelin core.

One Zeppelin cluster would make an 8 core, 16 thread CPU with 4MB L2 and 16MB L3 cache and in our case product codenamed Snowy owl has 16 cores, 32 threads 8MB of L2 (512KB x 16) and 32MB L3 (4x8MB).

The Snowy Owl with 16 cores uses a SP4 Multi Chip Module (MCM) BGA socket, while the Naples uses MCM based SP3. These two are not pin compatible but 16 and 8 core Zen based Opterons will fit in the same socket.

Snowy Owl has four independent memory channels and up to 64 lanes of PCIe Gen3. When it comes to storage, it supports up to 16 SATA or NVME storage channels and 8x10GbE for some super-fast networking solutions.

As you see, there will be plenty of Zen based Opteron possibilities and most of them will start showing up by mid-2017.  The TDP Range for Snowy Owl is sub 100W and capable of sinking the TDP down to 35W. Yes, we do mean that there may well be a quad core Zen Opteron too.

Courtesy-Fud

While the outfit is still claiming that it is chums with Google, it is now saying that its Android development for tablets is the latest thing it is not interested in.

Intel has been cutting back on its Android upgrades for tablet hardware which suggests it is not interested. Instead it is working on 2-in-1s, which run mostly on Windows.

Intel’s x86 version of Android was mainly for devices with Atom processors, which the chip maker is phasing out. The replacement is Apollo Lake which will run Windows, but it is unclear if it will ever support Android.

The last Android which worked on Intel gear was Android 5.1.1, Lollipop, Intel-based mobile devices mostly run Android 5.0 or older versions.

What might keep Intel in Android might not be its own commitment to Android, but the fact that Google is keen to make its OS work with x86 chips. Google has said that Android 7.0 Nougat, will be compatible with x86 machines which will keep Intel in the game – if it wants to be.

PC World has suggested that Intel could offload development to the independent Android-x86 Project last month delivered the Android-x86 6.0 Release Candidate 1.

Intel is still a lead partner in Google’s Brillo. This is an embedded IoT OS with the dash of Android under the bonnet. Brillo works on Intel’s Edison development board, which can be used to make wearables, robots, smart home devices and other IoT gadgets.

But it is pretty clear that Intel is not interested in some of Google’s VR projects like DayDream which are based on Android.

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Five years ago Intel bought McAfee for $7.7bn acquisition. Two years ago it re-branded it as Intel Security. There was talk about chip based security and how important this would be as the world moved to the Internet of Things.

Now the company has discussed the future of Intel Security with bankers, including potentially the outfit. The semiconductor company has been shifting its focus to higher-growth areas, such as chips for data center machines and Internet-connected devices, as the personal-computer market has declined.

The security sector has seen a lot of interest from private equity buyers. Symantec said earlier this month it was acquiring Web security provider Blue Coat for $4.65 billion in cash, in a deal that will see Silver Lake, an investor in Symantec, enhancing its investment in the merged company, and Bain Capital, majority shareholder in Blue Coat, reinvesting $750 million in the business through convertible notes.

However Intel’s move into the Internet of Things does make it difficult for it to exit the security business completely. In fact some analysts think it will only sell of part of the business and keep some key bits for itself.

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Basically this means that the hardware can be used by the OPNFV collaborative open source community to accelerate the delivery of cloud-enabled networks and applications.

Nokia said the OPNFV Lab will be a testbed for NFV developers and accelerates the introduction of commercial open source NFV products and services. Developers can test carrier-grade NFV applications for performance and availability.

Nokia is making its AirFrame Data Center Solution available as a public OPNFV Lab with the support of Intel, which is providing Intel Xeon processors and solid state drives to give communications service providers the advantage of testing OPNFV projects on the latest and greatest server and storage technologies.

The Nokia AirFrame Data Center Solution is 5G-ready and Nokia said it was the first to combine the benefits of cloud computing technologies to meet the stringent requirements of the telco world. It’s capable of delivering ultra-low latency and supporting the kinds of massive data processing requirements that will be required in 5G.

Morgan Richomme, NFV network architect for Innovative Services at Orange Labs, OPNFV Functest PTL, in a release. “NFV interoperability testing is challenging, so the more labs we have, the better it will be collectively for the industry.”

AT&T has officially added Nokia to its list of 5G lab partners working to define 5G features and capabilities. It’s also working with Intel and Ericsson.

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According to the slides published by Computerbase.de, both GPUs are based on AMD’s 4th generation Graphics Core Next (GCN 4.0) GPU architecture, offer 2.8 perf/watt improvement compared to the previous generation, have 4K encode and decode capabilities as well as bring DisplayPort 1.3/1.4 and HDR support.

Powering three different graphics cards, these two GPUs will cover different market segments, so the Polaris 10, codename Ellesmere, will be powering both the Radeon RX 480, meant for affordable VR and 1440p gaming as well as the recently unveiled RX 470, meant to cover the 1080p gaming segment. The Polaris 10 packs 36 Compute Units (CUs) so it should end up with 2304 Stream Processors. Both the RX 480 and RX 470 should be coming with 4GB or 8GB of GDDR5 memory, paired up with a 256-bit memory interface. The Ellesmere GPU offers over 5 TFLOPs of compute performance and should peak at 150W.

The Radeon RX 470 should be based on Ellesmere Pro GPU and will probably end up with both lower clocks as well as less Stream Processors and according to our sources close to the company, should launch with a US $179 price tag, while the RX 480 should launch on 29th of June with a US $199 price tag for a reference 4GB version. Most AIB partners will come up with a custom 8GB graphics cards which should probably launch at US $279+.

The Polaris 11 GPU, codename Baffin, will have 16 CUs and should end up with 1024 Stream Processors. The recently unveiled Radeon RX 460 based on this GPU should come with 4GB of GDDR5 memory paired up with a 128-bit memory interface. The Radeon RX 460 targets casual and MOBA gamers and should provide decent competition to the Geforce GTX 950 as both have a TDP of below 75W and do not need additional PCIe power connectors.

According to earlier leaked benchmarks, AMD’s Polaris architecture packs quite a punch considering both its price and TDP so AMD just might have a chance to get a much needed rebound in the market share.

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As we have been saying for ages, Jobs’ Mob is no longer exclusively going with Qualcomm to provide modem chips for the upcoming iPhone 7. The deal, while large, is tailored for some of Apple’s partnerships. Intel gets AT&T phones and Qualcomm remains the supplier for Verizon network phones and for China.

The press has been claiming that it is terrible news for Qualcomm. But it appears Qualcomm knew it was coming and had already factored in the loss of the business into its results. The reason Qualcomm is not losing any sleep over the deal is because the most Intel is going to get is a third of the iPhone modems. This is what in financial terms is considered a “pisser” but hardly a reason to jump off any buildings over.

Other good things are happening to Qualcomm which more than balance out what has been lost to Intel. Firstly its latest Snapdragons are selling extremely well and secondly the shine is starting to go off its number one rival MediaTek.

For a while, naysayers have been predicting that MediaTek was going to sink Qualcomm. In fact there was even a suggestion that Qualcomm should get out of chipmaking and become a patent troll.

MediaTek had been luring away Qualcomm customers with cheaper chips, which combined with Apple, Samsung and Huawei making their own chips was creating a perfect storm of doom.

Now there is a suggestion that MediaTek’s growth wagon might have stalled. MediaTek’s sales fell 9.4 per cent annually last quarter to $1.7 billion. Its operating margin halved from 16 per cent last year to eight per cent. The reason was due to higher expenses across the board. This meant that its net income fell to $136 million. MediaTek is still more profitable than Qualcomm’s chipmaking division has a wafer thin 5 per cent last quarter.

Analysts expect MediaTek to post double-digit sales growth fuelled by rising demand for 4G smartphone chips in China. But its margins are also expected to keep contracting due to tough competition from Qualcomm and Spreadtrum.

Another risk for MediaTek is its dependence on China. Taiwan just got rid of the pro-unification KMT party, which controlled the presidency for the past eight years, in favour of the pro-independence DPP party.

MediaTek needs direct investments from mainland China to fight off Qualcomm, but it is finding that the Taiwanese government is blocking that sort of investment cash.

All this is giving Qualcomm a fighting chance in the area where it makes a lot of its cash. Sure its margins might be lower, but it still making more money. Enough so that it does not have to worry about losing a small about of dosh to Intel.

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The Micron 1100 SSD is a more mainstream oriented SSD that will be based on Marvell’s 88SS1074 controller and Micron’s 384Gb 32-layer TLC NAND. Using a SATA 6Gbps interface and available in M.2 and 2.5-inch form-factors, the Micron 1100 should replace Micron’s mainstream M600 series, based on 16nm MLC NAND.

The Micron 1100 SSD will be available in 256GB, 512GB, 1TB and 2TB capacities. It will offer sequential performance of up to 530MB/s for read and up to 500MB/s for write with random 4K performance of up to 92K for read and up to 83K IOPS for write. With such performance, it is obvious that the Micron 1100 series will target mainstream market and be a budget SSD.

The Micron 2100 is an M.2 PCIe NVMe SSD that is actually Micron’s first client oriented PCIe SSD and also the first PCIe SSD based on 3D NAND. Unfortuantely, Micron did not finalize the precise specifications so we still do not have precise performance numbers but it will be available in capacities reaching 1TB.

The Micron 1100 is expected to hit mass production in July so we should expect some of the first drives by the end of the next month. The Micron 2100 will be coming by the end of summer.

Courtesy-Fud

In an IDC interview Intel’s data center boss said that Nvidia gained an early lead in the market for accelerated HPC workloads when it positioned its GPUs for that task several years ago. However there is a perception that processors used for machine learning today are GPUs like those from Nvidia and AMD.

Bryant was a bit miffed when she was asked how Intel can compete in this market without a GPU. She said that the general purpose GPU, or GPGPU was just another type of accelerator and not one that’s uniquely suited to machine learning.
It is better to look at Knights Landing which is a coprocessor, but it’s an accelerator for floating point operations, and that’s what a GPGPU too.

She said that since the release of the first Xeon Phi in 2014, Intel now clawed back 33 percent of the market for HPC workloads that use a floating point accelerator.

“So we’ve won share against Nvidia, and we’ll continue to win share,” she said.

She said that Intel’s share of the machine learning business may be much smaller, but the market is still young.

“Less than one percent of all the servers that shipped last year were applied to machine learning, so to hear Nvidia is beating us in a market that barely exists yet makes me a little crazy,” she says.

Intel will continue to evolve Xeon Phi to make it better at machine learning tasks. She said that there are two aspects to machine learning – training the algorithmic models, and applying those models to the real world in front-end applications. Intel’s FPGAs and its Xeon processors mean Intel has both sides of the equation covered.

But Nvidia’s GPUs are harder for programmers to work with which could give Intel an edge as ordinary businesses need to adopt machine learning. Knights Landing is “self-booting,” which means customers don’t need to pair it with a regular Xeon to boot an OS.
However Intel’s newest Xeon Phi has a floating point performance of about 3 teraflops, which is a little slow compared to the five teraflops for Nvidia’s new GP100.

Courtesy-Fud

The service is available in six countries and among a limited range of banks, though in recent weeks Apple has added four banks to its sole Singapore partner American Express; Australia and New Zealand Banking Group in Australia; and Canada’s five big banks.

Apple Pay usage totaled $10.9 billion last year, the vast majority of that in the United States. That is less than the annual volume of transactions in Kenya, a mobile payments pioneer, according to research firm Timetric.

And its global turnover is a drop in the bucket in China, where Internet giants Alibaba and Tencent dominate the world’s biggest mobile payments market – with an estimated $1 trillion worth of mobile transactions last year, according to iResearch data.

Anecdotal evidence from Britain, China and Australia suggests Apple Pay is popular with core Apple followers, but the quality of service, and interest in it, varies significantly.

To use Apple Pay, consumers tap their iPhone over payment terminals to buy coffee, train tickets and other services. It can be also used at vending machines that accept contactless payments.

Apple Pay transactions were a fraction of the $84.5 billion in iPhone sales for the six months to March, which accounted for two-thirds of Apple’s total revenue.

Apple has leveraged its huge U.S. user base to push Pay, but has met resistance in Australia, Britain and Canada where banks are building their own products.

“Payments in general is such a complicated system with so many incumbent providers that revolutionary change like this was not going to happen very quickly,” said Joshua Gilbert, an analyst at First Annapolis Consulting.

The upshot: Apple has rolled out Pay in a dribble, adding countries and partners where it can – Hong Kong is expected to be added next – resulting in an uneven banking landscape with users and retail staff not always sure what will work and how.

Source- http://www.thegurureview.net/mobile-category/apple-pay-struggling-to-gain-traction-outside-u-s.html