NVIDIA is the world leader in visual computing and invented the GPU. It focuses on serving large markets where visual computing is essential like gaming, enterprise, HPC & cloud, and automotive. NVIDIA develops processors, software, systems and services for platforms including PC, data center, and mobile technologies. Its inventions power products across industries and it has over 9,300 employees worldwide.
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.
Building New Realities in AEC with NVIDIA Quadro VR WebinarNVIDIA
Register to watch this on-demand webinar at http://info.nvidianews.com/proviz-webinar-series-provr.html
Discover the coming innovations in the use of virtual reality for building design, share new technologies and VR workflow integrations that are being used today, and get a look at what’s coming next in VR from NVIDIA.
Key takeaways:
- Learn about our VR technologies and solutions, pro apps for VR, and professional VR best practices.
- Hear how the AEC industry is integrating VR into their clients’ design experiences.
- Share your findings in the role of VR for immersive building design and ask questions during the live chat session.
Presented by Dave Weinstein, Andrew Rink, and Ron Swidler.
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.”
Nvidia Corporation, more commonly referred to as Nvidia, is an American technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units for the gaming and professional markets, as well as system on a chip units for the mobile computing and automotive market.
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.
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.
Building upon the foundational understanding of deep learning, this talk will cover a variety of applications of artificial intelligence for problem-solving and how you can both get started and become proficient with NVIDIA’s hardware, open-source software & classes. We will also discuss the role of games engines both historically and current day in teaching today's AI systems.
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.
Building New Realities in AEC with NVIDIA Quadro VR WebinarNVIDIA
Register to watch this on-demand webinar at http://info.nvidianews.com/proviz-webinar-series-provr.html
Discover the coming innovations in the use of virtual reality for building design, share new technologies and VR workflow integrations that are being used today, and get a look at what’s coming next in VR from NVIDIA.
Key takeaways:
- Learn about our VR technologies and solutions, pro apps for VR, and professional VR best practices.
- Hear how the AEC industry is integrating VR into their clients’ design experiences.
- Share your findings in the role of VR for immersive building design and ask questions during the live chat session.
Presented by Dave Weinstein, Andrew Rink, and Ron Swidler.
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.”
Nvidia Corporation, more commonly referred to as Nvidia, is an American technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units for the gaming and professional markets, as well as system on a chip units for the mobile computing and automotive market.
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.
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.
Building upon the foundational understanding of deep learning, this talk will cover a variety of applications of artificial intelligence for problem-solving and how you can both get started and become proficient with NVIDIA’s hardware, open-source software & classes. We will also discuss the role of games engines both historically and current day in teaching today's AI systems.
Electric CarsA growing demand for electric cars appears to grow in Russia. However, the country has little infrastructure on which to support the automobiles. Either way, the number of electric cars slowly grows in the country, and even legislation has gone out from its government to enforce a future in the technology.
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.
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.
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.
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.
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.
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.
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.
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
Palestra apresentada por Pedro Mário Cruz e Silva, Solution Architect da NVIDIA, como parte da programação da VIII Semana de Inverno de Geofísica, em 19/07/2017.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
2. 2
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.
3. 3
We focus on serving large markets where visual computing is essential and deeply valued. For each,
we offer a platform of processors, software, systems and services. We innovate across PC, data
center and mobile technologies. And our inventions power the products of OEMs across industries.
GAMING ENTERPRISE HPC & CLOUDAUTO
4. 4
Source: Newzoo
At $100 billion, computer gaming is the
world’s largest entertainment industry,
exceeding Hollywood and professional
sports. GeForce® GTX®, our GPU brand
for PC gamers, is the world’s largest
gaming platform, with 200 million
users. In conjunction with GeForce
Experience™, an application that
configures games to run optimally and
tunes a PC’s performance continually,
GeForce GPUs transform everyday PCs
into powerful gaming machines.
5. 5
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10
15
20
25
30
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Apple TV Roku 3 Fire TV Nexus Player SHIELD
PERFORMANCE
SHIELD™, NVIDIA’s first living-room
entertainment device, will change the
way we enjoy entertainment at home.
The world’s first 4K Android TV, it
delivers video, music, apps and
amazing games. With the ability to
easily connect to a store full of apps,
SHIELD will do for smart TVs what
smartphones did for cell phones. It
joins the SHIELD tablet and portable in
our family of mobile devices.
6. 6
The NVIDIA GRID™ game-streaming
service, dubbed “a Netflix of games,”
allows gamers to connect their SHIELD
devices to a GeForce supercomputer in
the cloud. With GRID, gamers can click
and play AAA titles at 1080p resolution,
60 frames per second.
7. 7
We’re also advancing games
themselves. Our GameWorks program —
driven by some of the world’s most
talented visual effects engineers —
delivers expertise, algorithms and tools
to game developers big and small.
From virtual fire and water to hair and
fur, NVIDIA tech makes games more
realistic and immersive. And it’s
consistently featured in top titles,
including this year’s blockbusters
Assassin’s Creed Unity and Far Cry 4.
8. 8
SHIELD, NVIDIA’s first living-room
entertainment device, pulls together a
number of fundamental inventions into a
sleek device that will change the way we
enjoy entertainment at home. The world’s
first 4K Android TV console, it delivers
video, music, apps and amazing games.
SHIELD can also connect to our GRID
game-streaming service, dubbed “a
Netflix for games.” With GRID, gamers
can connect to a GeForce GTX
supercomputer in the cloud to click and
play AAA titles in a minute.
Swap in
Tomorrow’s cars will have tens of
millions of pixels across many displays.
NVIDIA processors power the digital
cockpits and infotainment systems of
some of the world’s most innovative
cars, including models from Audi, BMW,
Honda, Tesla, VW and Lamborghini.
There are over 8 million cars with
NVIDIA processors on the road today, a
figure that will reach more than 30
million in five years.
9. 9
Every major automaker in the world is
working toward the self-driving car.
Adapting to the infinite nuances of
driving down the road is second nature
to us. For a computer operating on
data from its camera, sonar and radar
sensors, understanding the world is a
daunting task. NVIDIA DRIVE PX™, a
self-driving car computer, uses the
power of supercomputing GPUs and
breakthroughs in artificial intelligence
to learn the behavior of driving.
10. 10
From industrial design to advanced
special effects, Quadro® is the
preeminent platform for professional
artists. NVIDIA Quadro GPUs power 80%
of the world’s workstations and nearly
every major design tool uses its tools.
For six years running, every film
nominated for the Academy Award for
Best Visual Effects was made using
NVIDIA technology.
11. 11
For designers who build the products
we use every day — from cars to
skyscrapers — it’s critical that what
they see digitally mirrors reality. This
requires simulating the physical
behavior of light and materials, or
“physically based rendering,” an
emerging trend in professional design.
With our latest Quadro GPU and Iray®
rendering technologies, we’re bringing
this capability to millions of designers.
12. 12
We have long been the standard
enterprise workstation platform for
digital designers and artists. With
NVIDIA GRID™ vGPU™, we’ve virtualized
graphics so that hundreds of millions of
enterprise workers who use design
tools can benefit from the flexibility,
security and efficiency of the cloud.
Today, all of the leading enterprise
server and virtualization companies
offer GRID vGPU-enabled products.
13. 13
Scientists and researchers tap into the
parallel processing capabilities of
Tesla® GPUs to do groundbreaking work
in areas as diverse as earthquake
research and cancer detection. GPU
computing is taught in nearly 800
universities. The U.S. Department of
Energy recently selected NVIDIA to
power what are expected to be the
world’s fastest supercomputers when
they come online at Oak Ridge and
Lawrence Livermore National Labs.
14. 14
Tesla GPUs have been broadly adopted in
deep learning, a field of artificial
intelligence that uses the massive
amounts of data unleashed by the
internet to teach computers to make
predictions and perform seemingly
magical tasks.
Recent improvements in algorithms and
NVIDIA GPUs capable of processing this
torrent of data has enabled computers to
recognize images, text and speech on
their own — in some cases better than
humans.
The world’s largest and most innovative
companies — including Adobe, Alibaba,
Baidu, Facebook, Flickr Yahoo!, Google
and Microsoft — are deploying deep
learning across a variety of applications.
GPUs have recently enabled machines to
outperform humans in the ImageNet
Challenge, the World Cup of deep learning
and computer vision.
15. 15
Researchers using Tesla GPUs are solving
the world’s great scientific and technical
challenges. Using a supercomputer
powered by 3,000 Tesla processors,
University of Illinois scientists achieved a
breakthrough in HIV research. Another
research team from Baylor, Rice, MIT,
Harvard and the Broad Institute used
GPUs to map how the human genome
folds within the nucleus of a cell.
These and other advances in science have
been highlighted in top journals and are
regularly showcased at GTC, our annual
developer conference, where the best and
brightest minds in GPU computing come
together to share their work.
16. 16
The people of NVIDIA share a passion
for community service. Our
philanthropic giving this year totaled
$4.8 million. Project Inspire, which
brings together our people to transform
their local communities, continues to
gain momentum. Over the course of
the year, employees contributed more
than 15,500 volunteer hours. Many
chose to support education programs
that, in total, benefited more than
67,000 children.
17. 17
“The ‘G’ (graphics) label for NVIDIA’s main product is becoming an anachronism. Instead, NVIDIA’s
hardware, software and engineering output are manifested in algorithms and APIs, not circuits
and interconnects. GPUs are a disruptive technology for databases, business analytics and
robotics that will allow unknown startups like those in the GTC Emerging Companies Summit
and giant corporations like IBM and Baidu to reshape markets.”
—Forbes
18. 18
Founded in 1993
Jen-Hsun Huang is co-founder 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
FY15: $4.68 billion in revenue
9,300 employees worldwide
7,300 patent assets
Headquartered in Santa Clara, Calif.