NVIDIA Corporation - TJHSST Activities by pengxuezhi

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									  NVDA



Preetam Jinka
 Akhil Kolluri
 Pavan Naik
Background

• Graphics processing units (GPUs)
• Chipsets

•   Workstations
•   Personal computers
•   Mobile devices
•   Servers
•   Game consoles
Product line

•   GeForce
•   Quadro
•   nForce
•   Tegra
Competitors

• Intel
• AMD
• Texas Instruments
Intel

• Graphics built into the processors
  o GPU within CPU
  o Fairly new
AMD

• A semiconductor company - merged with ATI
• Very similar product line
• Nintendo GameCube, Wii, Xbox 360
Texas Instruments

• Currently make chips in Motorola Droid
  o Rumored to switch to Nvidia chips in Motorola phones
    now
• Motorola still plans to sell 12 to 14 million phones in 2010.
Charts
Charts
Charts

         Low earnings /
            Lawsuit
Charts
Earnings




    Next earnings release: 11/12
    Expected earnings: 0.143
Seasonal performance
CAPS

• 5-star rating
News

GeForce GTX 580

3DTV

Dell

Tegra 2

Fastest Supercomputer
GeForce GTX 580 release?
SOCIAL RESPONSIBILITY
NVIDIA is at the forefront of solving some of the world’s most complex social and scientific problems.
Disease diagnosis, environmental forecasting, surveillance for national security purposes, the search
for clues along the far edge of the known universe — each is being addressed with tools accelerated through NVIDIA technology. Facilitating these
breakthroughs is our core offering, the graphics processing unit, or GPU.
NVIDIA’s GPU works in tandem with a central processing unit (CPU), and is a specialized tool that breaks down complex computing problems into a great
many smaller tasks that run concurrently. Our parallel processors accelerate a CPU by 10-100 times, enabling hundreds of billions of operations to occur
each second. They turbocharge a system, rendering it more powerful and more efficient than a CPU alone.
Parallel processing is helping researchers make quantum leaps in progress in fields ranging from climate      modeling to medical
tomography, yielding advances that were previously impossible due to technology limitations. Problems that once took days to solve now can be
addressed in minutes. Computations that previously required large, costly, energy intensive CPU clusters can now be accomplished more efficiently and
less expensively by GPUs.
These advances are possible not only because we have invested           billions of dollars in R&D, but also because we develop our products
mindful of our ecosystem—our suppliers, partners and our end-customers, who are addressing enormously challenging problems.
Ecosystem Approach NVIDIA’s ecosystem revolves around parallel processing and brings together a network of developers, researchers, students,
scientists and other companies.


 •     We employ a substantial number of individuals who work with other companies to solve problems and develop new functionality.
 •     We work closely with researchers to understand the obstacles that prevent them from making progress, and we determine whether parallel
       processing could help.
 •     We connect researchers through our Fellowship programs and our CUDA Zone portal, and make software programs, such as Tesla
       BioWorkbench, that are designed to leverage our technology.
 •     Through technology and financial donations, we support a network of universities, professors and researchers who are solving important
       challenges through the GPU.
                                              the power footprint of the GPU, focusing on improving our processors’ performance
In addition, we are engaged in efforts to reduce
per watt of consumed power. We have made meaningful contributions through the deployment of Optimus, which intelligently optimizes a
notebook computer’s battery life byshutting down the GPU when not in use—with no interference in usability or performance. Optimus
reduces the GPU’s load on the battery and helps decrease the number of times it must be recharged, allowing for longer battery life. In addition, our Tegra
system-on-a-chip, which is the size of a thumbnail, comprises eight separate processors that are activated only when required, enabling it to sip power.
Designed for use in portable devices, it uses one-hundredth of the power traditionally used by desktop PC processors and one-tenth of the power of
notebook processors.
Sources

http://en.wikipedia.org/wiki/Nvidia
http://en.wikipedia.org/wiki/Advanced_Micro_Devices
http://en.wikipedia.org/wiki/ATI
http://www.dailyfinance.com/earnings/nvidia-corporation/nvda/nas
http://caps.fool.com/Ticker/NVDA.aspx
http://www.intel.com/technology/graphics/


https://docs.google.com/present/view?id=dqcvvzc_10c7gkq7gk

								
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