Nvidia Introduces Telsa K20 as Efficient Speed Demons


Recommended Posts

NVIDIA Unveils World's Fastest, Most Efficient Accelerators, Powers World's No. 1 Supercomputer

tesla_k20_gpu.jpg

SC12 -- NVIDIA today unveiled the NVIDIA? Tesla? K20 family of GPU accelerators, the highest performance, most efficient accelerators ever built, and the technology powering Titan, the world's fastest supercomputer according to the TOP500 list released this morning at the SC12 supercomputing conference.

Armed with 18,688 NVIDIA Tesla K20X GPU accelerators, the Titan supercomputer at Oak Ridge National Laboratory in Oak Ridge, Tenn. seized the No. 1 supercomputer ranking in the world from Lawrence Livermore National Laboratory's Sequoia system with a performance record of 17.59 petaflops as measured by the LINPACK benchmark.(1)

Tesla K20 - Performance, Energy-Efficiency Leadership

Based on the revolutionary NVIDIA Kepler? compute architecture, the new Tesla K20 family features the Tesla K20X accelerator, the flagship of NVIDIA's Tesla accelerated computing product line.

Providing the highest computing performance ever available in a single processor, the K20X provides tenfold application acceleration when paired with leading CPUs.(2) It surpasses all other processors on two common measures of computational performance -- 3.95 teraflops single-precision and 1.31 teraflops double-precision peak floating point performance.

The new family also includes the Tesla K20 accelerator, which provides 3.52 teraflops of single-precision and 1.17 teraflops of double-precision peak performance. Tesla K20X and K20 GPU accelerators representing more than 30 petaflops of performance have already been delivered in the last 30 days. This is equivalent to the computational performance of last year's 10 fastest supercomputers combined.

"We are taking advantage of NVIDIA GPU architectures to significantly accelerate simulations in such diverse areas as climate and meteorology, seismology, astrophysics, fluid mechanics, materials science, and molecular biophysics," said Dr. Thomas Schulthess, professor of computational physics at ETH Zurich and director of the Swiss National Supercomputing Center. "The K20 family of accelerators represents a leap forward in computing compared to NVIDIA's prior Fermi architecture, enhancing productivity and enabling us potentially to achieve new insights that previously were impossible."

Additional early customers include: Clemson University, Indiana University, Thomas Jefferson National Accelerator Facility (Jefferson Lab), King Abdullah University of Science and Technology (KAUST), National Center for Supercomputing Applications (NCSA), National Oceanic and Atmospheric Administration (NOAA), Oak Ridge National Laboratory (ORNL), University of Southern California (USC), and Shanghai Jiao Tong University (SJTU).

Energy-Efficiency for "Greener" Data Centers

The Tesla K20X GPU accelerator delivers three times higher energy efficiency than previous-generation GPU accelerators and widens the efficiency advantage compared to CPUs.

Using Tesla K20X accelerators, Oak Ridge's Titan achieved 2,142.77 megaflops of performance per watt, which surpasses the energy efficiency of the No. 1 system on the most recent Green500 list of the world's most energy-efficient supercomputers.(3)

Fastest on Broadest Range of Data Center Applications

The Tesla K20 family accelerates the broadest range of scientific, engineering and commercial high performance computing and data center applications. Today, more than 200 software applications take advantage of GPU-acceleration, representing a 60 percent increase in less than a year.

When Tesla K20X GPU accelerators are added to servers with Intel Sandy Bridge CPUs, many applications are accelerated up to 10x or more, including:(4)

* MATLAB (engineering) - 18.1 times faster

* Chroma (physics) - 17.9 times faster

* SPECFEM3D (earth science) - 10.5 times faster

* AMBER (molecular dynamics) - 8.2 times faster

More information about the Tesla K20 GPU accelerators is available at NVIDIA booth 2217 at SC12, Nov. 12-15, and on the NVIDIA high performance computing website. Users can also try the Tesla K20 accelerator for free on remotely hosted clusters. Visit the GPU Test Drive website for more information.

Availability

The NVIDIA Tesla K20 family of GPU accelerators is shipping today and available for order from leading server manufacturers, including Appro, ASUS, Cray, Eurotech, Fujitsu, HP, IBM, Quanta Computer, SGI, Supermicro, T-Platforms and Tyan, as well as from NVIDIA reseller partners.

About NVIDIA Tesla GPUs

NVIDIA Tesla GPUs are massively parallel accelerators based on the NVIDIA CUDA parallel computing platform and programming model. Tesla GPUs are designed from the ground up for power-efficient, high performance computing, computational science and supercomputing, delivering dramatically higher application acceleration for a range of scientific and commercial applications than a CPU-only approach.

To learn more about CUDA or download the latest version, visit the CUDA website. More NVIDIA news, company and product information, videos, images and other information is available at the NVIDIA newsroom. Follow us on Twitter at @NVIDIATesla.

About NVIDIA

NVIDIA (NASDAQ: NVDA) awakened the world to computer graphics when it invented the GPU in 1999. Today, its processors power a broad range of products from smartphones to supercomputers. NVIDIA's mobile processors are used in cell phones, tablets and auto infotainment systems. PC gamers rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create 3D graphics and visual effects in movies and to design everything from golf clubs to jumbo jets. And researchers utilize GPUs to advance the frontiers of science with high performance computing. The company has more than 5,000 patents issued, allowed or filed, including ones covering ideas essential to modern computing. For more information, see www.nvidia.com.

1 Compared to Sequoia system at Lawrence Livermore National Laboratory in Livermore at 16.3 petaflops of performance; Source: Top500.org - www.top500.org/lists/2012/06.

2 CPU results: Dual socket E5-2687w, 3.10 GHz, GPU results: Dual socket E5-2687w + 2 Tesla K20X GPUs.

3 Source: Green500.org: www.green500.org/lists/green201206.

4 System configuration - CPU results: Dual socket E5-2687w, 3.10 GHz CPUs; GPU results: Dual socket E5-2687w CPUs + 2 Tesla K20X GPUs (MATLAB results running FFT compare one i7-2600K CPU 3.4 GHz vs. Tesla K20 GPU).

Certain statements in this press release including, but not limited to, statements as to: the impact, performance and benefits of NVIDIA Tesla GPUs and the effects of the company's patents on modern computing are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended July 29, 2012. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

? 2012 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

Contact

George Millington

Tesla and CUDA Products

t: +1 (408) 562 7226

e: [email protected]

http://nvidianews.nvidia.com/Releases/NVIDIA-Unveils-World-s-Fastest-Most-Efficient-Accelerators-Powers-World-s-No-1-Supercomputer-8b6.aspx

This topic is now closed to further replies.
  • Recently Browsing   0 members

    • No registered users viewing this page.
  • Posts

    • Why it's almost impossible to produce a smartphone in the United States by Hamid Ganji If you look at the back of some Apple products, you can see the famous phrase “Designed by Apple in California, Assembled in China.” This phrase appears on products from one of the largest smartphone brands in the United States. These products are designed in the U.S., but their manufacturing takes place in China, India, Vietnam, or even Brazil. But why can’t Apple, as one of the largest American tech companies, produce its iPhones on U.S. soil? The idea for this topic came to me after the Trump Foundation launched a smartphone called the T1 and claimed that it was designed and built with American values in mind. However, this claim did not last long, as it was revealed that Trump’s phone was actually a rebranded HTC U24 Pro, with only a gold case and minor internal component changes. You see? Even a phone that is supposed to represent American values is manufactured in China. With a gross domestic product (GDP) exceeding $32 trillion, the United States is currently the world’s largest economy, while China ranks second with around $20 trillion. On the other hand, the United States is by a wide margin the global leader in various technological fields, and American companies spend hundreds of billions of dollars annually on research and development. From Apple and Google to Microsoft, Lockheed Martin, Boeing, and others, American tech and industrial giants lead their foreign competitors in many sectors. The United States also has no shortage of smartphone brands. Apple, Google, and Motorola are among the major brands in the smartphone market, collectively holding a significant share. However, the vast majority of their products are manufactured outside the United States. So why is it that the world’s largest economy, home to the most advanced technology companies and industrial powers, cannot produce a smartphone on its own soil? Let’s explore this question together. Even threats to impose tariffs won’t work After Trump entered the White House as the 47th President of the United States, his administration adopted strict tariff policies. One of these policies was the imposition of a 25% tariff on smartphones manufactured outside the United States. Trump said he “had a little problem” with Apple CEO Tim Cook over producing smartphones outside the U.S. So he thought that threatening a 25% tax on imported phones might force Apple to bring manufacturing back to the United States. “I have long ago informed Tim Cook of Apple that I expect their iPhones that will be sold in the United States of America will be manufactured and built in the United States, not India, or anyplace else,” Trump wrote on Truth Social. Image via The White House Although Apple currently manufactures some of the iPhone’s chips in the United States with TSMC's help, it still shows no willingness to shift full iPhone production to the country. At the time, renowned Apple supply chain analyst Ming-Chi Kuo wrote on X, “In terms of profitability, it’s way better for Apple to take the hit of a 25% tariff on iPhones sold in the US market than to move iPhone assembly lines back to the US.” However, manufacturing a smartphone in the United States is not as easy as it might seem, and many technical and economic barriers are involved. The lack of necessary manufacturing hubs There is a clear reason why many companies prefer to manufacture their products in China. China has established itself as the main global manufacturing hub for international companies, and over the past few decades, large contract manufacturers have emerged there, allowing companies like Apple to outsource production. One such example is Foxconn, which also manufactures some Apple products in India. Building the infrastructure required to produce smartphones in the United States would require tens of billions of dollars in new investment. Factories would need to be built, essential manufacturing equipment would have to be installed, and, most importantly, a skilled workforce capable of operating these systems would need to be recruited and trained. The United States currently lacks the core infrastructure needed to manufacture smartphones, and for this reason, many companies prefer to outsource production to Chinese contractors rather than spend tens of billions of dollars to build that infrastructure, which is significantly more economically efficient. Additionally, building such infrastructure in the United States could take up to a decade, ultimately leading to a significant increase in the product's final price for consumers. Shortage of trained labor in the U.S. compared to China Decades of serving as a global manufacturing hub have allowed China to build a massive talent pool in the production sector that is almost unmatched worldwide. Today, if a company chooses to manufacture its products in China, it can be confident that the workers involved in production have years of experience in their respective roles and are capable of producing high-quality goods with minimal errors. Even if we assume that tens of billions of dollars were invested in building smartphone manufacturing infrastructure in the United States, finding skilled workers would remain highly challenging. Apple CEO Tim Cook visiting the iPhone 6 assembly line in China in 2014. Image: Tim Cook on X In a 2015 interview on CBS’s 60 Minutes, Tim Cook said the main reason Apple isn’t producing in the US is a lack of skills. "China put an enormous focus on manufacturing, in what you and I would call vocational kind of skills. The US over time began to stop having as many vocational kinds of skills. I mean you could take every tool and die maker in the United States and probably put them in the room that we're currently sitting in. In China you would have to have multiple football fields,” Cook said. Also, in 2017, at the Fortune Global Forum in Guangzhou, Cook once again emphasized the importance of highly skilled Chinese workers. “China has moved into very advanced manufacturing, so you find in China the intersection of craftsman kind of skill, and sophisticated robotics and the computer science world. That intersection, which is very rare to find anywhere, that kind of skill, is very important to our business because of the precision and quality level that we like. The thing that most people focus on if they’re a foreigner coming to China is the size of the market, and obviously, it’s the biggest market in the world in so many areas. But for us, the number one attraction is the quality of the people,” Apple CEO said. Higher labor costs in the United States Producing almost any product in the United States is more expensive than in many other countries, and one of the main reasons is the higher cost of labor in the U.S. According to the Bureau of Labor Statistics, median weekly earnings of full-time workers in the United States were $1,235 in the first quarter of 2026. Meanwhile, the average annual salary in China's private sector in 2025 was RMB 71,590 (US$9,961). In many parts of the world, the weekly wage of an American worker is equivalent to several months of income. Another important factor to consider is that in the United States, the workforce capable of working on a smartphone assembly line is highly specialized and therefore commands higher-than-average wages. According to an estimate by Bank of America, producing an iPhone in the U.S. is technically possible, but “iPhone cost can increase 25% purely on higher labor cost in the U.S.” However, this 25% increase applies only if final assembly is performed in the United States while components are still sourced from China or elsewhere. In this case, the price of a base iPhone would rise from $799 to around $1,000. But in another scenario, if Apple were to produce the required components for the iPhone within the United States, production costs could increase by more than 90%. Trump’s dream for a “Made in the USA” iPhone might never come true In a free-market capitalist economy, one of the primary responsibilities of any CEO is to maximize profit. Using Apple as an example, Tim Cook’s role is to maximize the company’s profits so that it can fund research and development for new products and invest in areas such as artificial intelligence, while also keeping shareholders satisfied. Therefore, it is entirely understandable that Apple would choose not to bring its manufacturing back to the United States and instead keep production in countries where labor is cheaper, and products can be manufactured at a lower cost, thereby maximizing its profit margins. What is your opinion about manufacturing smartphones in the United States? If you are an American citizen, would you be willing to pay hundreds of dollars more for a smartphone made domestically in the USA? Let us know in the comments.
    • Cheers everyone for the replies. It's been very useful. 👍
    • Compared to the 7735HS it is around 25-30% slower in multi-threaded tasks (according to Google search) I did a review of the 7735HS Beelink SER6 Max in 2023, but thinking about it, it's not comparable to the 7730U. For the example you gave about how it will be used, the 7730U is actually an excellent choice for its power and battery efficiency.
  • Recent Achievements

    • Conversation Starter
      jessse3334 earned a badge
      Conversation Starter
    • Reacting Well
      JuvenileDelinquent earned a badge
      Reacting Well
    • One Month Later
      Excellence2025 earned a badge
      One Month Later
    • Week One Done
      Excellence2025 earned a badge
      Week One Done
    • Week One Done
      flexorcist earned a badge
      Week One Done
  • Popular Contributors

    1. 1
      +primortal
      503
    2. 2
      +Edouard
      194
    3. 3
      PsYcHoKiLLa
      151
    4. 4
      Steven P.
      71
    5. 5
      FloatingFatMan
      66
  • Tell a friend

    Love Neowin? Tell a friend!