NVIDIA is a visual computing company that pioneered GPUs and focuses on gaming, professional visualization, data centers, and automotive/mobile markets. It aims to power all displays through technologies like GPUs, Tegra processors, and GRID that accelerate graphics and parallel processing. NVIDIA has over 8,000 employees and shipped over 1 billion GPUs, powering innovations in gaming, design, VFX, science, and more.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
Our passion is to inspire and enable the da Vincis and Einsteins of our time, so they can see and create the future. We pioneered graphics, accelerated computing, and AI to tackle challenges ordinary computers cannot solve. See how we're continuously inventing the future--from our early days as a chip maker to transformers of the Metaverse.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
We pioneered accelerated computing to tackle challenges no one else can solve. Now, the AI moment has arrived. Discover how our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
Our passion is to inspire and enable the da Vincis and Einsteins of our time, so they can see and create the future. We pioneered graphics, accelerated computing, and AI to tackle challenges ordinary computers cannot solve. See how we're continuously inventing the future--from our early days as a chip maker to transformers of the Metaverse.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
160+ Companies, 7 layers, 9 megatrends, 1 creator-led future. The metaverse is not “a” metaverse. It is the next generation of the Internet: a decentralized multiverse, led by a new and abundant generation of creators.
Reverse-engineering the Flow, or peak performance state, and open sourcing it to the world by 2020.
A clear overview of how we're telling the story (NYT bestselling author's new book on Flow in Action Sports and film release Spring '14), building the community (our Crowdfunder campaign, elite Flow trainings, and online FlowHacker Nation), and scaling the project (X-Prize of Flow research and iFlow smartphone app).
In a series of announcements that left more than 1,200 gamers gathered in Cologne alternately breathless, giddy with laughter, and shouting their enthusiasm, Jensen Huang introduced the GeForce RTX series of gaming processors, representing the biggest leap in performance in NVIDIA’s history.
At DCG, we've gotten extremely excited about a project at the intersection of crypto and VR called Decentraland. This presentation provides a brief description of what Decentraland is and explains why we think it could be the next big thing.
We find this project super inspiring and we're doing a lot to accelerate the development of this ecosystem. Hopefully you see what we see!
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
A case analysis of Nintendo that explains how the implementation of innovative strategies enables the company to remain competitive within the gaming industry.
NVIDIA at CES 2014: The visual computing revolution continues. At the company's press conference on Sunday, Jan. 5, 2014, NVIDIA CEO Jen-Hsun Huang showcases the new Tegra K1, a 192-core super chip, Tegra K1 VCM, putting supercomputing technology in cars, and next-gen PC gaming with GameStream and G-SYNC.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
IoT Analytics is a leading market insights firm for the Internet of Things. The company operates in three areas: 1. Latest insights 2. Market reports 3. Go-to-market services for IoT. This is an overview of our approach and our services for go-to-market excellence in IoT.
The Top 10 Tech Trends In 2022 Everyone Must Be Ready For NowBernard Marr
What are the biggest technology trends emerging in 2020, and why are they so important? Check out this list to get my predictions for the top ten tech trends of this year.
THE METAVERSE IS POTENTIALLY AN $8 TRILLION TO $13 TRILLION OPPORTUNITY (Citibank):
We believe the Metaverse may be the next generation of the
internet — combining the physical and digital world in a persistent
and immersive manner — and not purely a Virtual Reality world.
A device-agnostic Metaverse accessible via PCs, game consoles, and
smartphones could result in a very large ecosystem. Based on our
definition, we estimate the total addressable market for the Metaverse
economy could grow to between $8 trillion and $13 trillion by 2030.
METAVERSE USE CASES:
Gaming is viewed as a key Metaverse use case for the next several years due to the immersive and multi-player
experience of the space currently. But we believe that the Metaverse will eventually help us find new enhanced ways to
do all of our current activities, including commerce, entertainment and media, education and training, manufacturing and
enterprise in general. Enterprise use cases of the Metaverse in the coming years will likely include internal collaboration,
client contact, sales and marketing, advertising, events and conferences, engineering and design, and workforce train
METAVERSE INFRASTRUCTURE BUILDING:
the current state, the internet infrastructure is unsuitable for building a fully-immersive content streaming Metaverse
environment, that enables users to go seamlessly from one experience to another. To make the vision of Metaverse a reality, we
expect significant investment in a confluence of technology. Low latency — the time it takes a data signal to travel from one point
on the internet to another point and then come back — is critical to building a more realistic user experience.
MONEY IN THE METAVERSE:
We expect the next generation of the internet, i.e., the Metaverse, would encapsulate a range of form factors of money, including
the existing/traditional forms of money and also upcoming/digitally-native forms — cryptocurrency, stablecoins, central bank
digital currencies (CBDCs) — that were out of scope in a pre-blockchain virtual world
This document is the copyright of its respective holders. It is freely available on the Internet to anyone who searches for it independently. It is provided here under the "Fair Use Doctrine of U.S. Copyright Law."
NVIDIA is the world leader in visual computing. The GPU, our invention, serves as the visual cortex
of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions like self-learning machines and self-driving cars.
Promising to transform trillion-dollar industries and address the “grand challenges” of our time, NVIDIA founder and CEO Jensen Huang shared a vision of an era where intelligence is created on an industrial scale and woven into real and virtual worlds at GTC 2022.
160+ Companies, 7 layers, 9 megatrends, 1 creator-led future. The metaverse is not “a” metaverse. It is the next generation of the Internet: a decentralized multiverse, led by a new and abundant generation of creators.
Reverse-engineering the Flow, or peak performance state, and open sourcing it to the world by 2020.
A clear overview of how we're telling the story (NYT bestselling author's new book on Flow in Action Sports and film release Spring '14), building the community (our Crowdfunder campaign, elite Flow trainings, and online FlowHacker Nation), and scaling the project (X-Prize of Flow research and iFlow smartphone app).
In a series of announcements that left more than 1,200 gamers gathered in Cologne alternately breathless, giddy with laughter, and shouting their enthusiasm, Jensen Huang introduced the GeForce RTX series of gaming processors, representing the biggest leap in performance in NVIDIA’s history.
At DCG, we've gotten extremely excited about a project at the intersection of crypto and VR called Decentraland. This presentation provides a brief description of what Decentraland is and explains why we think it could be the next big thing.
We find this project super inspiring and we're doing a lot to accelerate the development of this ecosystem. Hopefully you see what we see!
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
A case analysis of Nintendo that explains how the implementation of innovative strategies enables the company to remain competitive within the gaming industry.
NVIDIA at CES 2014: The visual computing revolution continues. At the company's press conference on Sunday, Jan. 5, 2014, NVIDIA CEO Jen-Hsun Huang showcases the new Tegra K1, a 192-core super chip, Tegra K1 VCM, putting supercomputing technology in cars, and next-gen PC gaming with GameStream and G-SYNC.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
IoT Analytics is a leading market insights firm for the Internet of Things. The company operates in three areas: 1. Latest insights 2. Market reports 3. Go-to-market services for IoT. This is an overview of our approach and our services for go-to-market excellence in IoT.
The Top 10 Tech Trends In 2022 Everyone Must Be Ready For NowBernard Marr
What are the biggest technology trends emerging in 2020, and why are they so important? Check out this list to get my predictions for the top ten tech trends of this year.
THE METAVERSE IS POTENTIALLY AN $8 TRILLION TO $13 TRILLION OPPORTUNITY (Citibank):
We believe the Metaverse may be the next generation of the
internet — combining the physical and digital world in a persistent
and immersive manner — and not purely a Virtual Reality world.
A device-agnostic Metaverse accessible via PCs, game consoles, and
smartphones could result in a very large ecosystem. Based on our
definition, we estimate the total addressable market for the Metaverse
economy could grow to between $8 trillion and $13 trillion by 2030.
METAVERSE USE CASES:
Gaming is viewed as a key Metaverse use case for the next several years due to the immersive and multi-player
experience of the space currently. But we believe that the Metaverse will eventually help us find new enhanced ways to
do all of our current activities, including commerce, entertainment and media, education and training, manufacturing and
enterprise in general. Enterprise use cases of the Metaverse in the coming years will likely include internal collaboration,
client contact, sales and marketing, advertising, events and conferences, engineering and design, and workforce train
METAVERSE INFRASTRUCTURE BUILDING:
the current state, the internet infrastructure is unsuitable for building a fully-immersive content streaming Metaverse
environment, that enables users to go seamlessly from one experience to another. To make the vision of Metaverse a reality, we
expect significant investment in a confluence of technology. Low latency — the time it takes a data signal to travel from one point
on the internet to another point and then come back — is critical to building a more realistic user experience.
MONEY IN THE METAVERSE:
We expect the next generation of the internet, i.e., the Metaverse, would encapsulate a range of form factors of money, including
the existing/traditional forms of money and also upcoming/digitally-native forms — cryptocurrency, stablecoins, central bank
digital currencies (CBDCs) — that were out of scope in a pre-blockchain virtual world
This document is the copyright of its respective holders. It is freely available on the Internet to anyone who searches for it independently. It is provided here under the "Fair Use Doctrine of U.S. Copyright Law."
NVIDIA is the world leader in visual computing. The GPU, our invention, serves as the visual cortex
of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions like self-learning machines and self-driving cars.
CES has been a bellwether of technology trends for five decades. This year, the world’s largest technology tradeshow showcased the latest advances of the greatest computing challenge of all time — artificial intelligence. NVIDIA Founder and CEO Jen-Hsun Huang kicked off the 50th anniversary event with his unique perspective on AI and a series of announcements across the gaming, smart home and automotive industries. This presentation is a summary of the keynote with a sampling of the resulting press coverage.
Social media report - Technology Brands (India) Q2 2016Unmetric
Take a detailed look at the social media performance of the top technology brands on social media from India. Find out which brand is the most engaging and why.
Engineering Your Supply Chain for Exponential GrowthIntrigo Systems
Larry Sladewski, Senior Director of Materials at NVIDIA and Intrigo, will give you an update on NVIDIA's supply chain initiative. This presentation will focus on critical operations and the need to dynamically reallocate build plans, WIP, and inventory across the supply chain. [Presented at the 2012 SAP Summit on Suppy Chain Management in Palo Alto, CA]
Simple guide to understanding customers needs and positioning the best Nvidia solution, This is an easy-to-use Sales Guide that we provide to our partners.
Partner relationships are the bedrock of a successful channel sales model. However, sometimes partner relationship management can seem like an icy road where you skid at every step. Watch this presentation to discover ways to boost partner engagement.
A Year of Innovation Using the DGX-1 AI SupercomputerNVIDIA
As one of TechCrunch's top AI stories, the NVIDIA DGX-1 has pioneered advancements in healthcare, data analytics, and robotic solutions with leading researchers and enterprises around the world.
NVIDIA Is Revolutionizing Computing - June 2017 NVIDIA
Here's our latest story as well as recent major announcements, featuring the epicenter of GPU computing, the era of AI, the world's largest gaming platform, and more.
This presentation covers how deep learning is transforming industries; our role in key markets such as VR, robotics, and self-driving cars; and our culture of craftsmanship, giving, and learning. This also includes highlights on how we are driving the transformations in gaming through GeForce GTX GPUs and the GeForce Experience, and how we’re helping accelerate scientific discovery through GPU computing and our long-term commitment to CUDA architecture.
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
At the 2018 GPU Technology Conference in Silicon Valley, NVIDIA CEO Jensen Huang announced the new "double-sized" 32GB Volta GPU; unveiled the NVIDIA DGX-2, the power of 300 servers in a box; showed an expanded inference platform with TensorRT 4 and Kubernetes on NVIDIA GPU; and revealed the NVIDIA GPU Cloud registry with 30 GPU-optimized containers and made it available from more cloud service providers. GTC attendees also got a sneak peek of the latest NVIDIA DRIVE software stack and the next DRIVE AI car computer, "Orin," along with developments in the NVIDIA Isaac platform for robotics and Project Clara, NVIDIA's medical imaging supercomputer.
How does one of the world's largest and most important hardware manufacturers position its technology and services to prospective consumers and partners alike? In this keynote interview, NVIDIA's Alix Hart will walk us through the Santa Clara-based chip manufacturer's global marketing footprint across media and tech, and tell us how to prepare for an AI-driven future.
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
TiECon Florida keynote - New opportunities for entrepreneurs using GPU & CUDAShanker Trivedi
This is a presentation that I gave at TiEcon Florida on 20 Sept 2013. I spoke about the new opportunities that are emerging for entrepreneurs caused by the disruptive innovation potential of GPU, CUDA and parallel computing technologies.
Silicom Ventures Talk Aug 2013 - GPUs and Parallel Programming create new opp...Shanker Trivedi
GPU are delivering exponential improvements in computing performance and scalability. And new parallel programming architectures such as CUDA are allowing smart technologists to harness the power of GPUs to address hitherto insoluble problems. This talk will illustrate the emerging opportunities and solutions that GPUs and parallel programming can offer in medical instruments and imaging, defense and surveillance, autonomous vehicles, the internet of things and sensory computing, manufacturing design and simulation, and seismic geology. The talk will be relevant to entrepreneurs who are thinking about the "next big thing" and to investors who may be thinking of the future mega trends.
Presentation by Jonathan Cohen & Mark Berger at Bioinformatics conference July 2013. It covers
- GPU Programming in 10 slides
- GPUs in Bioinformatics
- Porting SeqAn to CUDA
- Resources for developers and bioinformatics professionals
Tesla 2009-2013 and beyond. Check out the amazing progress we've made in the past 4 years This is a presentation made by my colleague Sumit Gupta at the NVIDIA investor Day 11 April 2013.
We have made significant progress over the past couple of years working with scientists around the world helping them to accelerate scientific discovery - using Nvidia Tesla GPU and CUDA computing
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. A Visual World
Visual computing is a unique and powerful medium. Over the past 20
years, it has transformed the PC from a tool for productivity into one
for creativity, expression and discovery. The beauty and interactivity
of visual computing allow people to connect with ideas in a way that
no other medium can.
3. NVIDIA — The Visual Computing Company
Since 1993, NVIDIA has pioneered the art and science of visual
computing. Our passionate work has resulted in thousands of patented
inventions, breakthrough technologies, deep industry relationships
and a powerful brand.
4. End-to-End Visual Computing
Invent fundamental technologies.
Design the world’s best GPUs and mobile processors.
Create modules and services for select markets.
Build fully integrated systems.
5. Brands and Target Markets
GeForce, GRID — Gaming
Quadro, GRID, Tesla — Design, VDI, HPC/Big Data in the Enterprise
Tegra — New Computing Devices
6. Blockbuster games
consistently outsell the
biggest Hollywood films —
Call of Duty: Black Ops 2
reached $500M in sales in its
first 24 hours. By 2016, the
PC gaming market is expected
to reach over $20B. GeForce
GPUs are the engines behind
the creation and enjoyment
of this thriving market.
Source: Activision, DFC Intelligence
7. 400M people around the
world play massively
multiplayer online games
(MMOs). League of Legends,
a free-to-play MMO and one
of the most popular games,
boasts 12M daily users.
Source: Newzoo, Riot Games
8. Virtual goods are creating
new business models for
game developers and a new
way for gamers to engage.
In 2012, more than half of
the $6.5B spent on MMOs
was spent on “free-to-play”
games. Individual artists
make upwards of $100K a
year designing the in-game
hats for the free-to-play hit
Team Fortress 2.
Source: Newzoo, Valve
9. With hundreds of games released
each year — and hundreds of
thousands of possible PC
configurations — finding the right
settings for any given game is
complex. GeForce Experience
is an NVIDIA application that
automatically optimizes game
settings, delivering the power of a
PC with the simplicity of a console.
10. With NVIDIA GRID, gamers
have the freedom to play the
most graphics-intensive
games from the cloud on any
display. By solving the “lag”
issue that has hindered cloud
gaming, GRID promises to
make game streaming as
convenient and common as
renting a movie online.
11. NVIDIA Quadro GPUs help
most of the world’s industrial
designers bring their visions
to life. They rely on
photorealistic renderings —
like this one of the McLaren
P1— to create their designs
without physical models.
Quadro performs ray-tracing
algorithms that generate such
images. Everything from
shampoo bottles to jumbo
jets are created with
software that runs on Quadro.
12. Visual computing is making
movies more immersive and
imaginative. NVIDIA is playing
a major role. 2013 marked
the fourth year in a row when
all films nominated for the
Best Visual Effects Academy
Award were created on
Quadro GPUs, including
Oscar-winner, Life of Pi.
13. Like many broadcasters,
ESPN uses visual computing to
enhance live coverage with
augmented reality. Here, the
distance of a home run is instantly
displayed during Major League
Baseball’s Home Run Derby. GPUs
power ESPN’s video capture and
3D modeling system that enables
operators to easily interact with
live video feeds and deliver a
better viewing experience.
14. Enterprises are in the midst
of a seismic shift. Employees
bring their own devices to
work, multiple operating
systems tap into distinct
services, and mobile access is
essential. Leveraging our GPU
expertise, we’ve invented
new technologies that unlock
visual computing from the
box and deliver amazing
graphics to any device. We
call it GRID. Today, Cisco,
Dell, HP and IBM offer GRID-
based servers while Citrix,
Microsoft and VMware offer
GRID-enabled software.
15. At GTC 2013, we introduced
the world’s first visual
computing appliance. GRID
VCA runs graphics-intensive
applications — such as those
from Adobe, Autodesk and
Dassault — and sends the
graphics output over the
network to be displayed on a
client computer. Design firms,
film studios and other
businesses can now give their
creative teams access to
graphics-intensive apps with
uncompromised performance,
flexibility and simplicity.
16. GPUs evolved into general
purpose processors ideally
suited to tackle massively
parallel computing problems.
Today, 50 systems on the
Top500 list of supercomputers
are powered by GPUs. With a
peak performance of 27
petaflops, the Titan
supercomputer at Oak Ridge
National Labs is the world’s
fastest. 18,688 Tesla GPUs
provide 90% of the machine’s
computing power.
17. Using GPUs, Harvard Fellow
Erez Lieberman-Aiden
discovered that DNA comes
together in fractal globules
(the same shape as uncooked
ramen noodles), and the way
that it’s folded determines
whether healthy or malignant
cells will be produced. His
technique relies on looking at
the billions of snapshots
generated by modern DNA
sequencing techniques. GPUs
are essential in processing the
enormous amount of data at
the heart of the process.
18. The floors of the Adriatic and
Mediterranean seas are
littered with tens of
thousands of mines, bombs
and other munitions that
were lost or abandoned after
World War I and II. To locate
and identify the dangerous
materials, NATO is using
autonomous underwater
vehicles equipped with
synthetic aperture sonar
running on Tesla GPUs. The
sonar application runs up to
100x faster on GPUs, enabling
real-time object recognition,
on-board processing and
intelligent decision-making
capabilities.
19. Researchers at Plymouth
University are driving the
emergence of humanoid
robots by modeling biological
neural networks. These
networks consist of thousands
of neurons connected to each
other through millions of
synapses. The systems
integrate visual processing,
linguistics and other inputs
such as touch, temperature
and position. GPUs perform
the millions of calculations
needed to activate the neural
network every 50-100
milliseconds.
20. Top enterprise and mobile
application companies are
using Tesla GPUs to tackle big
data analytics and advanced
search. For example, Shazam
uses GPUs to instantly search
and identify songs from its 27
million track database for its
300 million users.
21. In 2012, there were twice as
many mobile devices sold as
PCs. By 2016, it’s estimated
that tablets alone will outsell
PCs with 430M units shipped.
The Tegra mobile processor is
designed to power a world
where visual computing is
everywhere. Tegra combines
our industry-leading CPU,
GPU, LTE modem and camera
technology, and taps into the
gaming ecosystem that is
NVIDIA’s heritage.
Source: Business Insider
22. Tegra powers some of the most
innovative devices on the market,
including flagship devices from
Microsoft and Google, infotainment
systems from leading car companies,
and new-style devices like Ouya’s
crowd-sourced game console. And
this is just the beginning. The open,
rich Android ecosystem has attracted
nearly every type of device company
in the world.
23. We surprised the world with the
announcement of Project SHIELD at
CES 2013. Project SHIELD is a
portable that lets gamers play both
Android and PC games with the
benefits of a console-grade
controller, a five-inch retinal
screen, and exceptional sound from
tuned port, bass reflex speakers.
24. Gaming is the most popular activity
on mobile devices. Nearly 40% of
time spent on smartphones — and
70% on tablets — is spent playing
games. NVIDIA’s TegraZone app, the
first of its kind, enables people to
discover the best in mobile games.
Source: Flurry Analytics
25. Visual computing increasingly
plays a role in auto safety and
infotainment. NVIDIA will
drive the infotainment
systems and digital
instrument clusters of more
than 20 brands and 100
models, including cars from
Tesla Motors, Lamborghini,
Audi, BMW, Mini, Rolls Royce
and VW. With NVIDIA’s Jetson
development kit, automakers
can easily create and test
automotive, image processing
and computer-vision
applications.
26. NVIDIA users are uniquely
passionate about our
products. They express their
loyalty in deeply personal
ways — including artwork,
tattoos and even in naming
their children “NVIDIA.”
27. With 8,200 employees across
40 offices worldwide, our
people are bound together by
common vision and values.
NVIDIA’s high-performance,
creative, one-team spirit
starts from a culture of
giving. Each year, we forego
our holiday parties and
dedicate our financial and
human resources to help our
communities. We call this
Project Inspire.
28. NVIDIA has grown from a
three-person start-up into a
global company. We recently
set out to build a new campus
that will suit our expanding
company and vision. Standing
at the intersection of science
and art — just like our work in
visual computing — the new
NVIDIA headquarters will
capture the ambition and
imagination of our people.
29. Bring Magic to Every Pixel
By 2015, there will be 4B+ HD displays on the planet. Visual
computing will increasingly become part of the fabric of society.
NVIDIA is singularly focused on the medium that we have propelled
from a feature into an industry. We aim to light every pixel.
Source: DisplaySearch
30. Much of what we will see in the future will
likely come from NVIDIA technology as we
increasingly struggle to differentiate
between what is real and what has been
created from someone's imagination.
“
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31. FACTS
Founded in 1993
Jen-Hsun Huang is co-founder,
president and CEO
Listed with NASDAQ under the
symbol NVDA in 1999
Invented the GPU in 1999 and has
shipped more than 1 billion to date
FY13: $4.3 billion in revenue
8,200 employees worldwide
5,500 patents issued, allowed,
or filed
Ranked #6 “greenest” company in
America by Newsweek in 2012
Headquartered in Santa Clara, Calif.