Podcast #342 - FreeSync Launch, Dell XPS 13, Super Fast DDR4 and more!

Subject: General Tech | March 26, 2015 - 01:51 PM |
Tagged: XPS 13, video, Vector 180, usb 3.1, supernova, Silverstone, quadro, podcast, ocz, nvidia, m6000, gsync, FT05, freesync, Fortress, evga, dell, ddr4-3400, ddr4, corsair, broadwell-u, amd

PC Perspective Podcast #342 - 03/25/2015

Join us this week as we discuss the launch of FreeSync, Dell XPS 13, Super Fast DDR4 and more!

You can subscribe to us through iTunes and you can still access it directly through the RSS page HERE.

The URL for the podcast is: http://pcper.com/podcast - Share with your friends!

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Hosts:Ryan Shrout, Jeremy Hellstrom, Josh Walrath, and Sebastian Peak

Subscribe to the PC Perspective YouTube Channel for more videos, reviews and podcasts!!

 

Author:
Manufacturer: Futuremark

Our first DX12 Performance Results

Late last week, Microsoft approached me to see if I would be interested in working with them and with Futuremark on the release of the new 3DMark API Overhead Feature Test. Of course I jumped at the chance, with DirectX 12 being one of the hottest discussion topics among gamers, PC enthusiasts and developers in recent history. Microsoft set us up with the latest iteration of 3DMark and the latest DX12-ready drivers from AMD, NVIDIA and Intel. From there, off we went.

First we need to discuss exactly what the 3DMark API Overhead Feature Test is (and also what it is not). The feature test will be a part of the next revision of 3DMark, which will likely ship in time with the full Windows 10 release. Futuremark claims that it is the "world's first independent" test that allows you to compare the performance of three different APIs: DX12, DX11 and even Mantle.

It was almost one year ago that Microsoft officially unveiled the plans for DirectX 12: a move to a more efficient API that can better utilize the CPU and platform capabilities of future, and most importantly current, systems. Josh wrote up a solid editorial on what we believe DX12 means for the future of gaming, and in particular for PC gaming, that you should check out if you want more background on the direction DX12 has set.

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One of DX12 keys for becoming more efficient is the ability for developers to get closer to the metal, which is a phrase to indicate that game and engine coders can access more power of the system (CPU and GPU) without having to have its hand held by the API itself. The most direct benefit of this, as we saw with AMD's Mantle implementation over the past couple of years, is improved quantity of draw calls that a given hardware system can utilize in a game engine.

Continue reading our overview of the new 3DMark API Overhead Feature Test with early DX12 Performance Results!!

NVIDIA Quadro M6000 Announced

Subject: Graphics Cards | March 23, 2015 - 07:30 AM |
Tagged: quadro, nvidia, m6000, gm200

Alongside the Titan X, NVIDIA has announced the Quadro M6000. In terms of hardware, they are basically the same component: 12 GB of GDDR5 on a 384-bit memory bus, 3072 CUDA cores, and a reduction in double precision performance to 1/32nd of its single precision. The memory, but not the cache, is capable of ECC (error-correction) for enterprises who do not want a stray photon to mess up their computation. That might be the only hardware difference between it and the Titan X.

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Compared to other Quadro cards, it loses some double precision performance as mentioned earlier, but it will be an upgrade in single precision (FP32). The add-in board connects to the power supply with just a single eight-pin plug. Technically, with its 250W TDP, it is slightly over the rating for one eight-pin PCIe connector, but NVIDIA told Anandtech that they're confident that it won't matter for the card's intended systems.

That is probably true, but I wouldn't put it past someone to do something spiteful given recent events.

The lack of double precision performance (IEEE 754 FP64) could be disappointing for some. While NVIDIA would definitely know their own market better than I do, I was under the impression that a common workstation system for GPU compute was a Quadro driving a few Teslas (such as two of these). It would seem weird for a company to have such a high-end GPU be paired with Teslas that have such a significant difference in FP64 compute. I wonder what this means for the Tesla line, and whether we will see a variant of Maxwell with a large boost in 64-bit performance, or if that line will be in an awkward place until Pascal.

Or maybe not? Maybe NVIDIA is planning to launch products based on an unannounced, FP64-focused architecture? The aim could be to let the Quadro deal with the heavy FP32 calculations, while the customer could opt to load co-processors according to their double precision needs? It's an interesting thought as I sit here at my computer musing to myself, but then I immediately wonder why did they not announce it at GTC if that is the case? If that is the case, and honestly I doubt it because I'm just typing unfiltered thoughts here, you would think they would kind-of need to be sold together. Or maybe not. I don't know.

Pricing and availability is not currently known, except that it is “soon”.

Source: Anandtech

SEC Filing Reveals NVIDIA Now Using Samsung for Some Manufacturing

Subject: General Tech | March 21, 2015 - 12:09 AM |
Tagged: TSMC, SoC, Semiconductor, Samsung, process node, nvidia, gpu, fab

Want to liven up your weekend? Forget college basketball, we all know that few things are more exciting than SEC filings - and oh boy do we have a great read for you! (OK, this one is actually interesting!)

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Ah, legal documents...

NVIDIA has disclosed in their latest 10-K filing that none other than Samsung is manufacturing some of the company’s chips. TSMC has been the source of GPUs for both AMD and NVIDIA for some time, but this filing (the full document is available from the SEC website) has a very interesting mention of the suppliers of their silicon under the “Manufacturing” section:

"We utilize industry-leading suppliers, such as Taiwan Semiconductor Manufacturing Company Limited and Samsung Electronics Co. Ltd, to produce our semiconductor wafers."

Back in December NVIDIA commented on its lawsuit against Samsung for alleged IP theft, which only makes this partnership seem more unlikely. However even Apple (which has their own famous legal history with Samsung, of course) has relied on Samsung for some of the production of their A-series SoCs, including the current crop of A8 chips.  Business is business, and Samsung Foundry has been a reliable source of silicon for multiple manufacturers - particularly during times when TSMC has struggled to meet demand at smaller process nodes.

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Samsung's Current Semiconductor Offering

It is unclear at this point whether the wafers produced by Samsung Semiconductor are for NVIDIA’s mobile parts exclusively, or if any of the desktop GPUs were produced there rather than at TSMC. The partnership could also be attributed simply to scale, just as Apple has augmented A8 SoC supply with their rival’s fab while primarily relying on TSMC. It will be interesting to see just how pervasive the chips produced by Samsung are within the NVIDIA lineup, and what future products might be manufactured with their newest 14nm FinFET process technology.

Source: SEC

Podcast #341 - NVIDIA GTX TITAN X, News from GTC2015, Mini-ITX X99 and more!

Subject: General Tech | March 19, 2015 - 06:12 PM |
Tagged: Xeon D, X99, windows 10, video, usb 3.1, titan x, podcast, nvidia, msi, Intel, HSA 1.0, gtx titan x, gtc 2015, digits devbox, DIGITS, asrock

PC Perspective Podcast #341 - 03/19/2015

Join us this week as we the NVIDIA GTX TITAN X, News from GTC2015, Mini-ITX X99 motherboard and more!

You can subscribe to us through iTunes and you can still access it directly through the RSS page HERE.

The URL for the podcast is: http://pcper.com/podcast - Share with your friends!

  • iTunes - Subscribe to the podcast directly through the iTunes Store
  • RSS - Subscribe through your regular RSS reader
  • MP3 - Direct download link to the MP3 file

Hosts: Josh Walrath, Jeremy Hellstrom, Allyn Malventano, and Morry Teitelman

Subscribe to the PC Perspective YouTube Channel for more videos, reviews and podcasts!!

A TITANic roundup of GPUs

Subject: Graphics Cards | March 19, 2015 - 03:20 PM |
Tagged: titan x, nvidia, gtx titan x, gm200, geforce, 4k

You have read Ryan's review of the $999 behemoth from NVIDIA and now you can take the opportunity to see what other reviewers think of the card.  [H]ard|OCP tested it against the GTX 980 which shares the same cooler and is every bit as long as the TITAN X.  Along the way they found a use for the 12GB of VRAM as both Watch_Dogs and Far Cry 4 used over 7GB of memory when tested at 4k resolution though the frame rates were not really playable, you will need at least two TITAN X's to pull that off.  They will be revisiting this card in the future, providing more tests for a card with incredible performance and an even more incredible price.

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"The TITAN X video card has 12GB of VRAM, not 11.5GB, 50% more streaming units, 50% more texture units, and 50% more CUDA cores than the current GTX 980 flagship NVIDIA GPU. While this is not our full TITAN X review, this preview focuses on what the TITAN X delivers when directly compared to the GTX 980."

Here are some more Graphics Card articles from around the web:

Graphics Cards

Source: [H]ard|OCP

NVIDIA Announces DIGITS DevBox - 28 TFLOPS, 1300 Watts, $15k

Subject: General Tech, Graphics Cards, Shows and Expos | March 17, 2015 - 03:44 PM |
Tagged: nvidia, DIGITS

At GTC, NVIDIA announced a new device called the DIGITS DevBox:

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The DIGITS DevBox is a device that data scientists can purchase and install locally. Plugged into a single electrical outlet, this modified Corsair Air 540 case equipped with quad TITAN X (reviewed here) GPUs can crank out 28 TeraFLOPS of compute power. The installed CPU is a Haswell-E 5930K, and the system is rated to draw 1300W of power. NVIDIA is building these in-house as the expected volume is low, with these units likely going to universities and small compute research firms.

Why would you want such compute power?

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DIGITS is a software package available from NVIDIA. Its purpose is to act as a tool for data scientists to manipulate deep learning environments (neural networks). This package, running on a DIGITS DevBox, will give much more compute power capability to scientists who need it for their work. Getting this tech in the hands of more scientists will accelerate this technology and lead to what NVIDIA hopes will be a ‘Big Bang’ in this emerging GPU-compute-heavy field.

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More from GTC is coming soon, as well as an exclusive PC Perspective Live Stream set to start in just a few minutes! Did I mention we will be giving away a Titan X???

**Update**

Ryan interviewed the lead developer of DIGITS in the video below. This offers a great explanation (and example) of what this deep learning stuff is all about:

Author:
Manufacturer: NVIDIA

GM200 Specifications

With the release of the GeForce GTX 980 back in September of 2014, NVIDIA took the lead in performance with single GPU graphics cards. The GTX 980 and GTX 970 were both impressive options. The GTX 970 offered better performance than the R9 290 as did the GTX 980 compared to the R9 290X; on top of that, both did so while running at lower power consumption and while including new features like DX12 feature level support, HDMI 2.0 and MFAA (multi-frame antialiasing). Because of those factors, the GTX 980 and GTX 970 were fantastic sellers, helping to push NVIDIA’s market share over 75% as of the 4th quarter of 2014.

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But in the back of our mind, and in the minds of many NVIDIA fans, we knew that the company had another GPU it was holding on to: the bigger, badder version of Maxwell. The only question was going to be WHEN the company would release it and sell us a new flagship GeForce card. In most instances, this decision is based on the competitive landscape, such as when AMD might be finally updating its Radeon R9 290X Hawaii family of products with the rumored R9 390X. Perhaps NVIDIA is tired of waiting or maybe the strategy is to launch soon before Fiji GPUs make their debut. Either way, NVIDIA officially took the wraps off of the new GeForce GTX TITAN X at the Game Developers Conference two weeks ago.

At the session hosted by Epic Games’ Tim Sweeney, NVIDIA CEO Jen-Hsun Huang arrived when Tim lamented about needing more GPU horsepower for their UE4 content. In his hands he had the first TITAN X GPU and talked about only a couple of specifications: the card would have 12GB of memory and it would be based on a GPU with 8 billion transistors.

Since that day, you have likely seen picture after picture, rumor after rumor, about specifications, pricing and performance. Wait no longer: the GeForce GTX TITAN X is here. With a $999 price tag and a GPU with 3072 CUDA cores, we clearly have a new king of the court.

Continue reading our review of the NVIDIA GeForce GTX Titan X 12GB Graphics Card!!

GTC 2015: NVIDIA Roadmap Shows Pascal with 3D Memory, NVLink and Mixed Precision Compute

Subject: Graphics Cards | March 17, 2015 - 01:47 PM |
Tagged: pascal, nvidia, gtc 2015, GTC, geforce

At the keynote of the GPU Technology Conference (GTC) today, NVIDIA CEO Jen-Hsun Huang disclosed some more updates on the roadmap for future GPU technologies.

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Most of the detail was around Pascal, due in 2016, that will introduce three new features including mixed compute precision, 3D (stacked) memory, and NVLink. Mixed precision is a method of computing in FP16, allowing calculations to run much faster at lower accuracy than full single or double precision when they are not necessary. Keeping in mind that Maxwell doesn't have an implementation with full speed DP compute (today), it would seem that NVIDIA is targeting different compute tasks moving forward. Though details are short, mixed precision would likely indicate processing cores than can handle both data types.

3D memory is the ability to put memory on-die with the GPU directly to improve overall memory banwidth. The visual diagram that NVIDIA showed on stage indicated that Pascal would have 750 GB/s of bandwidth, compared to 300-350 GB/s on Maxwell today.

NVLink is a new way of connecting GPUs, improving on bandwidth by more than 5x over current implementations of PCI Express. They claim this will allow for connecting as many as 8 GPUs for deep learning performance improvements (up to 10x). What that means for gaming has yet to be discussed.

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NVIDIA made some other interesting claims as well. Pascal will be more than 2x more performance per watt efficient than Maxwell, even without the three new features listed above. It will also ship (in a compute targeted product) with a 32GB memory system compared to the 12GB of memory announced on the Titan X today. Pascal will also have 4x the performance in mixed precision compute.

Watch NVIDIA Reveal the GTX TITAN X at GTC 2015

Subject: Graphics Cards, Shows and Expos | March 17, 2015 - 10:31 AM |
Tagged: nvidia, video, GTC, gtc 2015

NVIDIA is streaming today's keynote from the GPU Technology Conference (GTC) on Ustream, and we have the embed below for you to take part. NVIDIA CEO Jen-Hsun Huang will reveal the details about the new GeForce GTX TITAN X but there are going to be other announcements as well, including one featuring Tesla CEO Elon Musk.

Should be interesting!

Source: NVIDIA