Nvidia
Oakridge Top Right
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Blog: From the Editor

From the Editor | Main Blog Index

Changing the Game


In my comments earlier this week on AMD's purpose-built "Fusion Render Cloud" supercomputer, I neglected to mention a possible downside for AMD's GPU business. In a nutshell, if this new supercomputer is going to be doing all the heavy lifting rendering-wise in the server, why do you need GPUs in the client?

The issue is probably more obvious when you realize that the supercomputer is being built with essentially the same "Dragon" chipset destined for high-end multimedia PCs. Specifically, it's the ATI Radeon HD 4800 GPU in the chipset that delivers all the nifty HD multimedia capabilities coveted by hard-core gamers and video enthusiasts. And it's not just for supercomputers and desktop machines. On Wednesday, AMD introduced a slightly less powerful offshoot of the HD 4800, the ATI Mobility Radeon HD 4000 series GPUs. These chips are aimed at the notebook market and promise to deliver "a home theatre-quality HD multimedia experience."

But if AMD's petaflop rendering monster (containing 1,000 Radeon HD 4800 GPUs) is truly able to deliver a cutting-edge multimedia experience to low-end PCs, then why buy the expensive box at all? And since the 1,000 GPUs in the supercomputer will probably be utilized more efficiently than in a 1,000 separate PCs, overall AMD will need to manufacture fewer of them to deliver the same computational performance.

Right now AMD is probably more focused on the upside of the Render Cloud. Since any device smaller than a notebook (netbooks, mobile phones, etc.) is not likely to house a CD/DVD drive for multimedia -- not to mention a discrete graphics processor -- the mobile market presents a natural opportunity for HD streaming, without the threat of cannibalizing current GPU revenue.

On the other hand, multimedia notebooks and desktops could get trapped in the crossfire. Users might decide to jettison the pricey GPUs (and DVDs) in favor of streamed multimedia content for the sake of convenience. Not only could gamers stop buying DVDs at $29.99 a pop, they also wouldn't have to upgrade their machine every time a graphics processor came out promising the latest whiz-bang special effects. Instead the cloud would get the upgrade, while the thin clients automagically pick up the new capabilities. So is there room for high-end GPUs on both the client and the server?
 
I guess the answer revolves around the pricing structure of content serving versus media ownership. Presumably content providers are planning to use some sort of subscription service to deliver games and other HD content from the Render Cloud. Since most online games and HD media on the Internet are currently available for free, there is a lot of pressure to keep prices low. But how low?

A model that already exists for something like this is Amazon's Video On-Demand, an online service in which digital video content can be purchased for lifetime ownership or merely rented for 24 hours. The content can be viewed offline (downloaded) or online (streamed) and can be run on a PC in a standard Web browser, or on other devices, even TVs. Using the Video On-Demand service, renting the "The Dark Knight" movie for a day costs $3.99, while buying it costs $14.99. Alternatively, if you want to own the movie as a DVD, the price is $20.99. The Video On-Demand means the DVD player -- the content renderer, in this case -- has become superfluous.

Obviously, content providers and chipmakers don't have the same interests. Game companies and other media developers will find a way to make money from their intellectual property, even when its form or distribution changes. But if AMD is going to serve up graphics computation on demand, it's risking making the client-side GPU hardware redundant. Of course, if the company can convince users that there is unique value for both client- and server-side GPUs, then problem solved. I guess that's why God made marketing departments.

Posted by Michael Feldman - January 15, 2009 @ 5:24 PM, Pacific Standard Time

Sponsored Links

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Michael Feldman

Michael Feldman

Michael Feldman is the editor of HPCwire.

More Michael Feldman

Supermicro

Recent Comments

No Recent Blog Comments

Feature Articles

Exascale Advocates Stand on Nuclear Stockpiles

In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...

NSF Forges Further Beyond FLOPs

In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...

CERN, Google Drive Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Short Takes

NASA Builds 'Climate in a Box'

May 23, 2013 | The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...

Building Supercomputers with Raspberries

May 22, 2013 | At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

Blogs by Topics

Blogs by Author

HPC Blogroll


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events