Subject: Graphics Cards | May 21, 2012 - 06:10 PM | Tim Verry
Tagged: recall, nvidia, kepler, graphics cards, gpu
Editor's Note: We are getting a lot of flak for posting this story today, telling us that we are "giving the site credibility", referring to the Pnosker site that first started the recall rumor, simply by posting about it on our site. Even though our post by Tim states to "take the leak with a grain of salt" and that "these GPUS go through rigorous testing and certification", some people think we were in the wrong to post about this.
So let me be perfectly clear - the recall referenced in the story below is almost assuredly complete and utter BULLSHIT.
According to Pnosker, NVIDIA is allegedly looking into recalling all Kepler based, 600-series graphics cards. Such a recall would affect users that have purchased GTX 670, GTX 680, and GTX 690 GPUs. The website has stated that their source has indicated that the graphics cards will possibly be recalled because the chips suffer from performance degradation after prolonged periods of heavy usage.
While their source has reportedly been correct in the past, the author cautions readers to take the leak with a grain of salt. Other websites that have picked up on this have mentioned that these GPUs go through rigorous testing and certification processes before getting to the market, so this rumor does not have much ground to stand on. Another reason to take this report with a shaker-full of salt is that if there was such a defect in the Kepler GPU, it would be more likely to completely fail rather than continue working with degraded performance.
This rumor is likely just that: a rumor. Why such a rumor was started is unknown but your Kepler graphics card purchases are probably safe from performance degradation, though they may not get as high of a boost clock as other users’ cards.
UPDATE @ 7:30pm ET: To quote from NVIDIA PR - "There is no truth to this rumor."
Subject: Graphics Cards | May 18, 2012 - 03:52 PM | Jeremy Hellstrom
Tagged: gtx 680, gtx670, hd7970, amd, nvidia
Ryan pitted the GTX670 and GTX570 against each other to show that in terms of gaming performance the GTX670 is a viable upgrade. [H]ard|OCP did something similar, testing the GTX670 and 680 against the HD7970 in a gaming performance showdown. For those who are only interested in gaming performance they've assembled a great breakdown of four popular games at a variety of resolutions and both at stock clocks and the best OC they could manage. The results are clear, for gamers it is NVIDIA with the clear win, with the GTX670 being a better value than the HD7970 and the GTX680 being a better performer.
"Wondering how the GeForce GTX 680 and GeForce GTX 670 compare to the Radeon HD 7970 and Radeon HD 7950 at stock frequencies as well as overclocked? You ask for it and we have done just that. Hold onto your hard earned cash and take note of just how the new GeForce GTX 670 compares with the rest of the competition."
Here are some more Graphics Card articles from around the web:
- AMD vs Nvidia 2012 - The Best Video Card for $200 @ hardCOREware
- Inno3D iChiLL GTX 670 HerculeZ 3000 Graphics Card Review @ HardwareHeave
- KFA2 Geforce GTX680 EX OC @ Kitguru
- Sapphire HD 7770 GHz Edition Vapor-X Graphics Card Review @ HardwareHeaven
- Inno3D iChill GEFORCE GTX 670 2GB OC @ Tweaktown
- MSI GTX 680 Twin Frozr III OC 2 GB @ techPowerUp
- EVGA GeForce GTX 670 2GB Superclocked Review @ Hardware Canucks
- Gigabyte GTX680 Windforce @ OC3D
- EVGA GeForce GTX 670 SC @ Guru of 3D
- NVIDIA GeForce GTX 670 SLI @ techPowerUp
- Zotac GeForce GTX680 2GB Review @ HardwareLOOK
- NVIDIA GTX 680: Windows 7 vs. Ubuntu 12.04 @ Phoronix
- Desktop Graphics Card Comparison Guide @ TechARP
- Diamond Radeon HD 7870 2GB Double Black Diamond Review @ circuitREMIX
- HIS HD7870 IceQ Turbo and IceQ X Turbo X @ Kitguru
- ARCTIC Accelero Xtreme 7970 @ Hardwareoverclock
- Radeon HD 79xx Graphics Cards from Gigabyte, Sapphire and XFX. CrossFireX Configuration @ X-bit Labs
- Sapphire HD 7770 GHz Edition Vapor-X Review @ Neoseeker
- Sapphire HD 7770 Vapor-X OC Edition Review @ OC
- Sapphire HD 7770 Vapor-X @ LanOC Reviews
- HIS Radeon HD 7950 IceQ Turbo @ Legion Hardware
Subject: General Tech | May 17, 2012 - 03:16 PM | Ken Addison
Tagged: trinity, tesla, podcast, nvidia, kepler, gtx670, GTC 2012, gk110, GK104, dv nation, a10
PC Perspective Podcast #202 - 05/17/2012
Join us this week as we talk about the GTX 670, NVIDIA's GK110 Tesla card, our AMD Trinity Mobile review and more!
If you want even more PC Perspective this, check out our "aftershow" event as well. Event might be an over-statement though...
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
- MP3 - Direct download link to the MP3 file
Hosts: Jeremy Hellstrom, Josh Walrath, and Allyn Malvantano
- 0:00:21 Introduction
- 1-888-38-PCPER or firstname.lastname@example.org
- http://twitter.com/ryanshrout and http://twitter.com/pcper
- 0:01:15 NVIDIA GeForce GTX 670 2GB Graphics Card Review - Kepler for $399
- 0:11:20 Graphics Card (GPU) Stock Check - May 10th, 2012
- 0:14:25 NVIDIA Reveals GK110 GPU - Kepler at 7.1B Transistors, 15 SMX Units
- 0:20:20 Lenovo IdeaCentre Q180: Atom's Wake
- 0:24:30 AMD A10-4600M Trinity For Mobile Review: Trying To Cut The Ivy
- 0:33:40 Just Delivered: DV Nation RAMRod PC - Sandy Bridge-E, 64GB DDR3, 480GB RevoDrive 3 X2
- 0:35:42 Plug and Pray PCIe SSD that you can upgrade; OWC's Mercury Accelsior
- 0:40:40 GTC 2012: NVIDIA Announces GeForce GRID Cloud Gaming Platform
- 0:53:00 ZOTAC announces ZOTAC GeForce GT 630, GT 620 and GT 610 series
- 0:55:00 Hardware / Software Pick of the Week
- Jeremy: Only to be used for evil
- Josh: Since NV doesn't have an answer yet at this price range...
- Allyn: If you need your files secure - without the destruction
- 1-888-38-PCPER or email@example.com
- http://twitter.com/ryanshrout and http://twitter.com/pcper
Subject: Graphics Cards | May 16, 2012 - 10:40 PM | Tim Verry
Tagged: nvidia, gtx 680m, gpu, mobile, kepler
Videocardz.com managed to get their hands on some rumored details about an upcoming NVIDIA mobile graphics card–the GTX 680M. According to rumors, the mobile chip will be launched at Computex 2012 in Taiwan next month.
There aren’t many details about the mobile chip, but it is set up to be a scaled down version of it’s Kepler based GTX 680 desktop counterpart. The GTX 680M will have approximately half as many CUDA cores at either 744 or 768 cores depending on the source. Either way, the card keeps the same 256-bit memory interface and can support SLI configurations. In addition, the 680M will be able to have up to 4GB of GDDR5 memory. Reportedly, it can use as much as 100 Watts of power.
When paired with an Intel Core i7 3720QM processor, the GPU was able to get a score of 4,905 points in 3DMark 11’s Performance present benchmark. It is supposed to be as much as 37 percent faster than the GTX 670M, which is not surprising considering that chip has only 336 CUDA cores and is clocked at 598 MHz (no word yet on what the GTX 680M will be clocked at).
No matter what the GTX 680M turns out to be, you can bet it will only be found in the highest end gaming notebooks where performance is more important than battery life. Until then, feel free to brush up on your Kepler architecture knowledge by visiting our GTX 680 (desktop) review.
When the Fermi architecture was first discussed in September of 2009 at the NVIDIA GPU Technology Conference it marked an interesting turn for the company. Not only was NVIDIA releasing details about a GPU that wasn’t going to be available to consumers for another six months, but also that NVIDIA was building GPUs not strictly for gaming anymore – HPC and GPGPU were a defining target of all the company’s resources going forward.
Kepler on the other hand seemed to go back in the other direction with a consumer graphics release in March of this year without discussion of the Tesla / Quadro side of the picture. While the company liked to tout that Kepler was built for gamers I think you’ll find that with the information NVIDIA released today, Kepler was still very much designed to be an HPC powerhouse. More than likely NVIDIA’s release schedules were altered by the very successful launch of AMD’s Tahiti graphics cards under the HD 7900 brand. As a result, gamers got access to GK104 before NVIDIA’s flagship professional conference and the announcement of GK110 – a 7.1 billion transistor GPU aimed squarely at parallel computing workloads.
With the Fermi design NVIDIA took a gamble and changed directions with its GPU design betting that it could develop a microprocessor that was primarily intended for the professional markets while still appealing to the gaming markets that have sustained it for the majority of the company’s existence. While the GTX 480 flagship consumer card and the GTX 580 to some degree had overheating and efficiency drawbacks for gaming workloads compared to AMD GPUs, the GTX 680 based on Kepler GK104 has improved on them greatly. NVIDIA has still designed Kepler for high-performance computing though with a focus this time on power efficiency as well as performance though we haven’t seen the true king of this product line until today.
GK110 Die Shot
Built on the 28nm process technology from TSMC, GK110 is an absolutely MASSIVE chip built on 7.1 billion transistors and though NVIDIA hasn’t given us a die size, it is likely coming close the reticle limit of 550 square millimeters. NVIDIA is proud to call this chip the most ‘architecturally complex’ microprocessor ever built and while impressive, it means there is potential for some issues when it comes to producing a chip of this size. This GPU will be able to offer more than 1 TFlop of double precision computing power with greater than 80% efficiency and 3x the performance per watt of Fermi designs.
Subject: Graphics Cards | May 16, 2012 - 05:14 PM | Ryan Shrout
Tagged: nvidia, kepler, GTC 2012, gk110
We are posting live from the "Inside Kepler" talk at NVIDIA's GPU Technology Conference with details on the new GK110 GPU. Here is what we know so far:
- 7.1 billion transistors
- 15 SMX (modified) units
- 2880 available CUDA cores
- Greater than 1 TFLOP FP64 (double precision) compute
- 384-bit GDDR5 memory bus
The block diagram for the GK110 GPU
We will update this post with more photos and information as we have it!
Diagram of the updated SMX for GK110
Don't expect to see this GPU until at least Q4 of this year.
Subject: Graphics Cards | May 15, 2012 - 05:26 PM | Jeremy Hellstrom
Tagged: zotac synergy, zotac, nvidia, gt 630, gt 620, GT 610, GK104, geforce, fermi
Zotac has released ten different graphics cards today, three GT 630s, three GT 620s and four GT 610s if you count the PCI version.
Enjoy all the benefits of the new Kepler architecture without the price of the GTX 680 or 690. These cards are a mix of GF108, GF119 and GK107, essentially rebrands of previous GT series cards as opposed to new ones like NVIDIA would prefer you believed.
They range from this 4GB GT 630 Synergy Edition which will give you the ability to handle multiple monitors in a work environment.
To this 1GB PCIe 1x GT 610 model for low power, low profile applications where a 16x slot just won't fit.
HONG KONG – May 15, 2012 – ZOTAC International, a global innovator and channel manufacturer of graphics cards, mainboards and mini-PCs, today expands the successful ZOTAC GeForce 600 series with new value offerings. The ZOTAC GeForce GT 630, GT 620 and GT 610 series deliver a savory taste of Microsoft DirectX 11 technologies for an outstanding visual computing experience.
“ZOTAC is pleased to bring the GeForce 600 series to value shoppers seeking a superior visual experience discrete graphics brings to computing,” said Carsten Berger, marketing director, ZOTAC International. “By installing one of our ZOTAC GeForce GT 630, GT 620 or GT 610 series graphics cards, users can experience faster video and image processing and perfect high-definition video playback with a simple upgrade.”
The ZOTAC GeForce GT 630, GT 620 and GT 610 series are available in a variety configurations with 512MB, 1GB, 2GB and 4GB memory options in PCI Express 2.0 x16, PCI Express x1 or PCI interfaces, and active or passive cooling configurations to cater exclusively to all user computing needs.
It’s time to play with ZOTAC and the GeForce GT 630, GT 620 and GT 610 series.
- ZOTAC Expands successful GeForce 600 series
- ZOTAC GeForce GT 630 series
- 96 processor cores
- 1GB, 2GB and 4GB memory configurations
- 128-bit memory interface
- ZOTAC GeForce GT 620 series
- 96 processor cores
- 1GB & 2GB memory configurations
- 64-bit memory interface
- ZOTAC GeForce GT 610 series
- 48 processor cores
- 512MB, 1GB & 2GB memory configurations
- 64-bit memory interface
- NVIDIA 3D Vision capable
- NVIDIA Adaptive Vertical Sync
- DirectX 11 technology & Shader Model 5.0
- OpenGL 4.2 compatible
- Hardware-accelerated Full HD video playback
- Blu-ray 3D ready
- Loss-less audio bitstream capable
NVIDIA puts its head in the clouds
Today at the 2012 NVIDIA GPU Technology Conference (GTC), NVIDIA took the wraps off a new cloud gaming technology that promises to reduce latency and improve the quality of streaming gaming using the power of NVIDIA GPUs. Dubbed GeForce GRID, NVIDIA is offering the technology to online services like Gaikai and OTOY.
The goal of GRID is to bring the promise of "console quality" gaming to every device a user has. The term "console quality" is kind of important here as NVIDIA is trying desperately to not upset all the PC gamers that purchase high-margin GeForce products. The goal of GRID is pretty simple though and should be seen as an evolution of the online streaming gaming that we have covered in the past–like OnLive. Being able to play high quality games on your TV, your computer, your tablet or even your phone without the need for high-performance and power hungry graphics processors through streaming services is what many believe the future of gaming is all about.
GRID starts with the Kepler GPU - what NVIDIA is now dubbing the first "cloud GPU" - that has the capability to virtualize graphics processing while being power efficient. The inclusion of a hardware fixed-function video encoder is important as well as it will aid in the process of compressing images that are delivered over the Internet by the streaming gaming service.
This diagram shows us how the Kepler GPU handles and accelerates the processing required for online gaming services. On the server side, the necessary process for an image to find its way to the user is more than just a simple render to a frame buffer. In current cloud gaming scenarios the frame buffer would have to be copied to the main system memory, compressed on the CPU and then sent via the network connection. With NVIDIA's GRID technology that capture and compression happens on the GPU memory and thus can be on its way to the gamer faster.
The results are H.264 streams that are compressed quickly and efficiently to be sent out over the network and return to the end user on whatever device they are using.
Subject: Shows and Expos | May 15, 2012 - 04:12 PM | Jeremy Hellstrom
Tagged: NVIDIA VGX, nvidia, GTC 2012, virtual graphics, virtual machine
One of the more interesting announcements so far at the GTC has been NVIDIA's wholehearted leap into desktop virtualization with NVIDIA VGX series of add on cards. Not really a graphics card and more specialized than the Tesla, GPU VDI will give you a GPU accelerated virtual machine. If you are wondering why you would need that consider a VM which can handle an Aero desktop and stream live HD video where the processing power comes not from the CPU but from a virtual GPU. They've partnered it with Hypervisor which can integrate with existing VM platforms to provide virtual GPU control as well as another piece of software which allows you to pick and choose what graphics resources your users get.
SAN JOSE, Calif.—GPU Technology Conference—May 15, 2012—NVIDIA today unveiled the NVIDIA VGX platform, which enables IT departments to deliver a virtualized desktop with the graphics and GPU computing performance of a PC or workstation to employees using any connected device.
With the NVIDIA VGX platform in the data center, employees can now access a true cloud PC from any device – thin client, laptop, tablet or smartphone – regardless of its operating system, and enjoy a responsive experience for the full spectrum of applications previously only available on an office PC.
NVIDIA VGX enables knowledge workers for the first time to access a GPU-accelerated desktop similar to a traditional local PC. The platform’s manageability options and ultra-low latency remote display capabilities extend this convenience to those using 3D design and simulation tools, which had previously been too intensive for a virtualized desktop.
Integrating the VGX platform into the corporate network also enables enterprise IT departments to address the complex challenges of “BYOD” – employees bringing their own computing device to work. It delivers a remote desktop to these devices, providing users the same access they have on their desktop terminal. At the same time, it helps reduce overall IT spend, improve data security and minimize data center complexity.
“NVIDIA VGX represents a new era in desktop virtualization,” said Jeff Brown, general manager of the Professional Solutions Group at NVIDIA. “It delivers an experience nearly indistinguishable from a full desktop while substantially lowering the cost of a virtualized PC.”
The NVIDIA VGX platform is part of a series of announcements NVIDIA is making today at the GPU Technology Conference (GTC), all of which can be accessed in the GTC online press room.
The VGX platform addresses key challenges faced by global enterprises, which are under constant pressure both to control operating costs and to use IT as a competitive edge that allows their workforces to achieve greater productivity and deliver new products faster. Delivering virtualized desktops can also minimize the security risks inherent in sharing critical data and intellectual property with an increasingly internationalized workforce.
NVIDIA VGX is based on three key technology breakthroughs:
- NVIDIA VGX Boards. These are designed for hosting large numbers of users in an energy-efficient way. The first NVIDA VGX board is configured with four GPUs and 16 GB of memory, and fits into the industry-standard PCI Express interface in servers. ·
- NVIDIA VGX GPU Hypervisor. This software layer integrates into commercial hypervisors, such as the Citrix XenServer, enabling virtualization of the GPU.
- NVIDIA User Selectable Machines (USMs). This manageability option allows enterprises to configure the graphics capabilities delivered to individual users in the network, based on their demands. Capabilities range from true PC experiences available with the NVIDIA standard USM to enhanced professional 3D design and engineering experiences with NVIDIA Quadro or NVIDIA NVS GPUs.
The NVIDIA VGX platform enables up to 100 users to be served from a single server powered by one VGX board, dramatically improving user density on a single server compared with traditional virtual desktop infrastructure (VDI) solutions. It sharply reduces such issues as latency, sluggish interaction and limited application support, all of which are associated with traditional VDI solutions.
With the NVIDIA VGX platform, IT departments can serve every user in the organization – from knowledge workers to designers – with true PC-like interactive desktops and applications.
NVIDIA VGX Boards
NVIDIA VGX boards are the world’s first GPU boards designed for data centers. The initial NVIDIA VGX board features four GPUs, each with 192 NVIDIA CUDA architecture cores and 4 GB of frame buffer. Designed to be passively cooled, the board fits within existing server-based platforms.
The boards benefit from a range of advancements, including hardware virtualization, which enables many users who are running hosted virtual desktops to share a single GPU and enjoy a rich, interactive graphics experience; support for low-latency remote display, which greatly reduces the lag currently experienced by users; and, redesigned shader technology to deliver higher power efficiency.
NVIDIA VGX GPU Hypervisor
The NVIDIA VGX GPU Hypervisor is a software layer that integrates into a commercial hypervisor, enabling access to virtualized GPU resources. This allows multiple users to share common hardware and ensure virtual machines running on a single server have protected access to critical resources. As a result, a single server can now economically support a higher density of users, while providing native graphics and GPU computing performance.
This new technology is being integrated by leading virtualization companies, such as Citrix, to add full hardware graphics acceleration to their full range of VDI products.
NVIDIA User Selectable Machines
NVIDIA USMs allow the NVIDIA VGX platform to deliver the advanced experience of professional GPUs to those requiring them across an enterprise. This enables IT departments to easily support multiple types of users from a single server.
USMs allow better utilization of hardware resources, with the flexibility to configure and deploy new users’ desktops based on changing enterprise needs. This is particularly valuable for companies providing infrastructure as a service, as they can repurpose GPU-accelerated servers to meet changing demand throughout the day, week or season.
Subject: Shows and Expos | May 15, 2012 - 03:43 PM | Jeremy Hellstrom
Tagged: tesla, nvidia, GTC 2012, kepler, CUDA
SAN JOSE, Calif.—GPU Technology Conference—May 15, 2012—NVIDIA today unveiled a new family of Tesla GPUs based on the revolutionary NVIDIA Kepler GPU computing architecture, which makes GPU-accelerated computing easier and more accessible for a broader range of high performance computing (HPC) scientific and technical applications.
The new NVIDIA Tesla K10 and K20 GPUs are computing accelerators built to handle the most complex HPC problems in the world. Designed with an intense focus on high performance and extreme power efficiency, Kepler is three times as efficient as its predecessor, the NVIDIA Fermi architecture, which itself established a new standard for parallel computing when introduced two years ago.
“Fermi was a major step forward in computing,” said Bill Dally, chief scientist and senior vice president of research at NVIDIA. “It established GPU-accelerated computing in the top tier of high performance computing and attracted hundreds of thousands of developers to the GPU computing platform. Kepler will be equally disruptive, establishing GPUs broadly into technical computing, due to their ease of use, broad applicability and efficiency.”
The Tesla K10 and K20 GPUs were introduced at the GPU Technology Conference (GTC), as part of a series of announcements from NVIDIA, all of which can be accessed in the GTC online press room.
NVIDIA developed a set of innovative architectural technologies that make the Kepler GPUs high performing and highly energy efficient, as well as more applicable to a wider set of developers and applications. Among the major innovations are:
- SMX Streaming Multiprocessor – The basic building block of every GPU, the SMX streaming multiprocessor was redesigned from the ground up for high performance and energy efficiency. It delivers up to three times more performance per watt than the Fermi streaming multiprocessor, making it possible to build a supercomputer that delivers one petaflop of computing performance in just 10 server racks. SMX’s energy efficiency was achieved by increasing its number of CUDA architecture cores by four times, while reducing the clock speed of each core, power-gating parts of the GPU when idle and maximizing the GPU area devoted to parallel-processing cores instead of control logic.
- Dynamic Parallelism – This capability enables GPU threads to dynamically spawn new threads, allowing the GPU to adapt dynamically to the data. It greatly simplifies parallel programming, enabling GPU acceleration of a broader set of popular algorithms, such as adaptive mesh refinement, fast multipole methods and multigrid methods.
- Hyper-Q – This enables multiple CPU cores to simultaneously use the CUDA architecture cores on a single Kepler GPU. This dramatically increases GPU utilization, slashing CPU idle times and advancing programmability. Hyper-Q is ideal for cluster applications that use MPI.
“We designed Kepler with an eye towards three things: performance, efficiency and accessibility,” said Jonah Alben, senior vice president of GPU Engineering and principal architect of Kepler at NVIDIA. “It represents an important milestone in GPU-accelerated computing and should foster the next wave of breakthroughs in computational research.”
NVIDIA Tesla K10 and K20 GPUs
The NVIDIA Tesla K10 GPU delivers the world’s highest throughput for signal, image and seismic processing applications. Optimized for customers in oil and gas exploration and the defense industry, a single Tesla K10 accelerator board features two GK104 Kepler GPUs that deliver an aggregate performance of 4.58 teraflops of peak single-precision floating point and 320 GB per second memory bandwidth.
The NVIDIA Tesla K20 GPU is the new flagship of the Tesla GPU product family, designed for the most computationally intensive HPC environments. Expected to be the world’s highest-performance, most energy-efficient GPU, the Tesla K20 is planned to be available in the fourth quarter of 2012.
The Tesla K20 is based on the GK110 Kepler GPU. This GPU delivers three times more double precision compared to Fermi architecture-based Tesla products and it supports the Hyper-Q and dynamic parallelism capabilities. The GK110 GPU is expected to be incorporated into the new Titan supercomputer at the Oak Ridge National Laboratory in Tennessee and the Blue Waters system at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign.
“In the two years since Fermi was launched, hybrid computing has become a widely adopted way to achieve higher performance for a number of critical HPC applications,” said Earl C. Joseph, program vice president of High-Performance Computing at IDC. “Over the next two years, we expect that GPUs will be increasingly used to provide higher performance on many applications.”
Preview of CUDA 5 Parallel Programming Platform
In addition to the Kepler architecture, NVIDIA today released a preview of the CUDA 5 parallel programming platform. Available to more than 20,000 members of NVIDIA’s GPU Computing Registered Developer program, the platform will enable developers to begin exploring ways to take advantage of the new Kepler GPUs, including dynamic parallelism.
The CUDA 5 parallel programming model is planned to be widely available in the third quarter of 2012. Developers can get access to the preview release by signing up for the GPU Computing Registered Developer program on the CUDA website.