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.
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.
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.
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.
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.
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.”
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.
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.
Read updates highlighting what’s hot in high performance computing, with this week's edition focusing on news of NVIDIA's announcements at Supercomputing 2016.
NVIDIA founder and CEO Jensen Huang took the stage in Munich — one of the hubs of the global auto industry — to introduce a powerful new AI computer for fully autonomous vehicles and a new VR application for those who design them.
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.
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.
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.”
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.
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.
Read updates highlighting what’s hot in high performance computing, with this week's edition focusing on news of NVIDIA's announcements at Supercomputing 2016.
NVIDIA founder and CEO Jensen Huang took the stage in Munich — one of the hubs of the global auto industry — to introduce a powerful new AI computer for fully autonomous vehicles and a new VR application for those who design them.
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.
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.
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.
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.
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.
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.
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.
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.
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 Deep Learning Institute 2017 基調講演NVIDIA Japan
このスライドは 2017 年 1 月 17 日 (火)、ベルサール高田馬場で開催された「NVIDIA Deep Learning Institute 2017」の基調講演にて、NVIDIA Chief Scientist and SVP of Research の Bill Dally が講演したものです。
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.
Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference.
Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes.
“AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home.
Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life.
More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic.
“NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.”
This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
Trends. Success stories. Training. Networking.
The GPU Technology Conference brings this all to one place. Meet the people pioneering the future of healthcare and life sciences and learn how to apply the latest AI and HPC tools to your research.
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
Broadening support for GPU-accelerated supercomputing to a fast-growing new platform, NVIDIA founder and CEO Jensen Huang introduced a reference design for building GPU-accelerated Arm servers, with wide industry backing.
NVIDIA BioBert, an optimized version of BioBert was created specifically for biomedical and clinical domains, providing this community easy access to state-of-the-art NLP models.
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
Read the top five news stories in artificial intelligence and learn how innovations in AI are transforming business across industries like healthcare and finance and how your business can derive tangible benefits by implementing AI the right way.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
Learn about the benefits of joining the NVIDIA Developer Program and the resources available to you as a registered developer. This slideshare also provides the steps of getting started in the program as well as an overview of the developer engagement platforms at your disposal. developer.nvidia.com/join
If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.
NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Check out these DLI training courses at GTC 2019 designed for developers, data scientists & researchers looking to solve the world’s most challenging problems with accelerated computing.
Transforming Healthcare at GTC Silicon ValleyNVIDIA
The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming NVIDIA GTC 2019, complete schedule of GPU hackathons and more!
The promise of AI to provide better patient care through accelerated workflows and increased diagnostic capabilities was in full display at RSNA. Catch up with all the news and highlights from the event.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
NVIDIA Is Revolutionizing Computing - June 2017
1.
2. 2
SUPERCHARGED COMPUTING
FOR THE DA VINCIS AND
EINSTEINS OF OUR TIME
We pioneered a supercharged form of computing
loved by the most demanding computer users
in the world — scientists, designers, artists,
and gamers.
NVIDIA GPU computing has become the essential
tool of the da Vincis and Einsteins of our time.
For them, we’ve built the equivalent of a time
machine.
Fueled by the insatiable demand for better 3D
graphics and the massive scale of the gaming
market, NVIDIA has evolved the GPU into a
computer brain at the exciting intersection
of virtual reality, high performance computing,
and artificial intelligence.
Image: Scientists at ETH Zurich use GPU-powered AI to
sharpen our view of distant galaxies.
3. 3
THE TIME FOR GPU
COMPUTING HAS COME
For 30 years, the dynamics of Moore’s law held
true. Microprocessor performance advanced at a
rate of 50 percent per year as more and more
transistors were fit onto a single chip. But that
approach is hitting the limits of semiconductor
physics, and, today, CPU performance only
grows by 10 percent per year.
NVIDIA GPU computing has given the industry
a path forward — and will provide a 1,000X
speed-up by 2025. NVIDIA’s CUDA® programming
model complements the CPU with a specialized
processor suited for parallel processing. And we
innovate across the entire stack, from processor
to systems to algorithms to applications.
4. 4
GTC was started in 2009 to foster a new
approach to high performance computing.
Today, it’s one of the most important
AI events of the year. GTC 2017 hosted more
than 7,000 attendees, 260 press and analysts,
and 570 technical sessions. The world’s top
15 tech companies and top 10 automakers
were in attendance, along with more than
100 startups focused on AI and VR.
THE EPICENTER OF
GPU COMPUTING
5. 5
NVIDIA DEFINES MODERN
COMPUTER GRAPHICS
Our invention of the GPU in 1999 made possible real-time
programmable shading, which gives artists an infinite palette for
expression. We’ve led the field of visual computing since.
6. 6
NVIDIA’s Project Holodeck is a photorealistic,
collaborative VR environment that incorporates
the feeling of real-world presence through sight,
sound, and haptics. It allows creators to import
high-fidelity, full-resolution models into VR to
collaborate and share with colleagues or friends.
A future where we create nearly everything in a
virtual world is on the near horizon.
THE DREAMS OF
SCIENCE FICTION
7. 7
Today’s gaming industry is fueled by a steady
stream of blockbuster titles with Hollywood-
level production values. NVIDIA GPUs are the
engines that make these games possible. And
our GameWorks™ software allows developers to
make games photorealistic and immersive.
CREATING AMAZING WORLDS
8. 8
At $100 billion, computer gaming is the world’s
largest entertainment industry. And with 200
million gamers, NVIDIA GeForce is its largest
platform. GeForce® GTX GPUs and the GeForce
Experience™ application transform everyday
PCs into powerful gaming machines.
And we continuously innovate
across the platform. One recent
example, Max-Q design, sets a
new standard for the thinnest,
fastest, and quietest gaming
laptops in the market.
GEFORCE — THE WORLD’S
LARGEST GAMING PLATFORM
9. 9
SHIELD — THE MOST
ADVANCED STREAMER
BRINGS AI TO THE HOME
NVIDIA SHIELD™ boasts 1,000 games and offers
the largest, most open catalog of media in
stunning 4K. It’s also a smart home hub with
support for Google Assistant hands-free as well
as SmartThings, which connects to hundreds
of devices. With SPOT™, an AI mic accessory
that plugs into an outlet, intelligent control
can be extended throughout the house.
10. 10
NVIDIA IS REVOLUTIONIZING
COMPUTING
In 2006, the creation of our CUDA programming model and Tesla® GPU
platform opened up the parallel-processing capabilities of the GPU to
general-purpose computing.
A powerful new approach to computing was born.
11. 11
Moore’s law is coming to an end, but
exponential advances in compute speed and
capacity are just beginning. Today, GPU
computing is the most pervasive, accessible,
energy-efficient path forward for HPC and data
centers, and powers the fastest supercomputers
in the U.S. and Europe.
POWERING THE WORLD’S
FASTEST SUPERCOMPUTERS
12. 12
The GPU computing platform is essential to
those who take on the challenges that matter
most. Using a GPU-powered supercomputer,
University of Illinois scientists achieved a
breakthrough in HIV research by performing
the first all-atom simulation of the capsid. GPUs
also drive the GE Revolution CT scanner, which
can produce high-quality imagery while reducing
patient radiation exposure by up to 82%.
ACCELERATING
LIFE-CHANGING SCIENTIFIC
DISCOVERIES
13. 13
NVIDIA IGNITES
THE AI BIG BANG
Artificial intelligence is the use of computers to simulate human intelligence.
AI amplifies our cognitive abilities — letting us solve problems where the
complexity is too great, the information is incomplete, or the details are
too subtle and require expert training.
Learning from data — a computer’s version of life experience — is how AI
evolves. GPU computing powers the computation required for deep neural
networks to learn to recognize patterns from massive amounts of data.
This new computing model sparked the AI era.
14. 14
The big bang of modern AI set off a string of
“superhuman” achievements. In 2015, Google
and Microsoft both beat the best human score
in the ImageNet challenge. DeepMind’s AlphaGo
recorded its historic win over Go champion Lee
Sedol in 2016 and, more recently, beat the best
player in the world, Ke Jie. Breakthroughs in AI
happen almost every day.
AI ACHIEVES
“SUPERHUMAN” RESULTS
15. 15
With deep learning, we can teach AI to do
almost anything. New internet services, like
Google Assistant, have learned speech from
sound and provide a more natural way to access
information. Self-driving cars use deep learning
to recognize the space the car inhabits, the
lanes in which it drives, and the objects it must
avoid. In healthcare, neural networks trained
with millions of medical images can find clues in
MRIs that until now could only be found through
invasive biopsies. These are just a few
examples. AI will spur a wave of social progress
unmatched since the industrial revolution.
THE ERA OF AI
16. 16
GPU computing is the most productive and
pervasive platform for deep learning and AI.
It begins with the most advanced GPUs and
the systems and software we build on top of
them. We integrate and optimize every deep
learning framework. We work with the major
systems companies and every major cloud
service provider to make GPUs available in
data centers and in the cloud. And we create
computers and software to bring AI to edge
devices, such as self-driving cars and
autonomous robots.
POWERING
THE AI REVOLUTION
17. 17
Volta, the world’s most powerful GPU computing
architecture, was built to drive the next wave
of AI and HPC. Tesla V100, based on Volta, is
the world’s first 120 TeraFLOPS processor and
brings extraordinary speed and scalability for AI
inferencing and training, as well as for
accelerating HPC and graphics workloads. Volta
is the biggest chip on the planet — boasting 21
billion transistors and able to deliver the
equivalent performance of 250 CPUs for deep
learning.
VOLTA — A GIANT LEAP
FOR AI AND HPC
18. 18
While deep learning holds enormous promise, it
requires a massive amount of computing power.
To arm data scientists in every organization, we
created a lineup of AI supercomputers. NVIDIA
DGX-1 with Volta, the world’s first 1 PetaFLOPS
computer, delivers the performance of up to 400
servers in a single box; while DGX Station packs
480 TeraFLOPS of computing power into a
whisper-quiet workstation.
SUPERCOMPUTERS
PURPOSE-BUILT FOR AI
19. 19
NVIDIA GPU CLOUD —
ONE PLATFORM, RUN
EVERYWHERE
The NVIDIA GPU Cloud gives AI developers
access to our comprehensive deep learning
software stack wherever they want it — on
PCs, in the data center, or via the cloud.
The containerized stack includes the latest
deep learning frameworks, libraries, OS, and
drivers. NVIDIA GPU Cloud makes it easier
for developers to do deep learning training,
experimentation, and deployment.
20. 20
AI IS REVOLUTIONIZING
EVERY INDUSTRY
In addition to our AI technologies, we advance fundamental research,
foster universities and startups, and bring our full capabilities to
industries where we can have the greatest impact.
21. 21
The NVIDIA Inception program nurtures more
than 1,300 startups that are revolutionizing
industries with advances in AI and data science.
The program helps startups during critical
stages of product development, prototyping,
and deployment. At GTC, our annual developer
conference, we awarded six AI startups with a
total of $1.5 million to accelerate their work.
NVIDIA INCEPTION — 1,300
DEEP LEARNING STARTUPS
22. 22
Autonomous vehicles will modernize the $10
trillion transportation industry — making our
roads safer and our cities more efficient. NVIDIA
DRIVE™ PX is a scalable AI car platform that
spans the entire range of autonomous driving.
Toyota recently joined some 225 companies
around the world that have adopted the NVIDIA
DRIVE PX platform for autonomous vehicles.
They range from car companies and suppliers, to
startups and research organizations.
THE BRAIN OF AI CARS
23. 23
Driving is a learned behavior that people do
as second nature. Yet one that is impossible
to program a computer to perform. Using all
of the AI capabilities of NVIDIA DRIVE PX 2,
our research AI car, BB8, watches humans
drive, and has learned to drive in all kinds
of conditions — on highways and dirt roads,
through obstacle courses, at night, and in the
rain. Processing data from multiple cameras,
BB8 can even look both ways before safely
crossing a busy road on its own.
NVIDIA BB8 AI CAR —
LEARNING BY EXAMPLE
Center CameraLeft Camera Right Camera
24. 24
Deep learning and affordable sensors have
created the conditions for a Cambrian explosion
of autonomous machines — IoT with AI. NVIDIA
Jetson™ TX2, an embedded AI supercomputer,
delivers 1 TeraFLOPS of performance in a credit
card-sized module. Such power will enable a
new wave of automation in manufacturing,
drones that can inspect hazardous places, and
robots that can deliver the millions of packages
shipped every day.
THE BRAIN OF INTELLIGENT
MACHINES & IoT
25. 25
ISAAC — ACCELERATED
LEARNING FOR A WORLD OF
INTELLIGENT MACHINES
The Isaac robot simulator, an AI-based software
platform, lets developers train robots in highly
realistic, physics-based virtual environments and
then transfer that knowledge to real-world units.
Developers can set up extensive test scenarios
using deep learning training, and then simulate
them in minutes instead of months.
26. 26
There will be 1 billion cameras in the world by
2020. AI will power intelligent video analytics
that can turn this massive amount of data into
safer, more efficient cities. With Jetson TX2
at the edge and Tesla GPUs in the cloud,
NVIDIA Metropolis is an end-to-end platform
that provides a foundation for the AI City.
More than two dozen partners around the
world have adopted Metropolis for a variety
of applications, from public safety to traffic
management to city services.
THE BRAIN OF THE AI CITY
27. 27
AI is transforming the spectrum of healthcare,
from detection to diagnosis to treatment. GE
Healthcare has reinvented the echocardiogram
machine by embedding GPU-powered AI in its
Vivid E95 system. Mayo Clinic used GPU-powered
deep learning to discover that genomic data
can be found in MRIs, hidden from traditional
analysis methods.
NVIDIA is teaming up with the National Cancer
Institute, the U.S. Department of Energy, and
several national labs on the “Cancer Moonshot”
to deliver a decade of advances in cancer
prevention, diagnosis, and treatment in just five
years.
THE BRAIN OF
AI HEALTHCARE
28. 28
NVIDIA is united by a core belief that mastery
of our craft lets us tackle the challenges that
matter to the world.
This attitude pervades our culture and informs
everything we do, from designing amazing
products to striving to build one of the world’s
great companies.
OUR CULTURE
A PASSION FOR
CRAFTMANSHIP
29. 29
NVIDIA’s people share a strong sense of
corporate responsibility. Our philanthropic
giving this year exceeded $5 million.
Project Inspire, which brings our people
together every year to transform local
communities, continues to gain momentum.
This year alone, employees volunteered more
than 17,000 hours and supported education
programs that benefited nearly 90,000 children.
OUR CULTURE
INSPIRED TO GIVE TO
OUR COMMUNITIES
30. 30
NVIDIA has continuously reinvented itself over
two decades.
Our 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
computing ignited the era of AI.
NVIDIA is a “learning machine” that constantly
evolves by adapting to new opportunities that
are hard to solve, that only we can tackle, and
that matter to the world.
OUR CULTURE
A LEARNING MACHINE
31. 31
> Founded in 1993
> Jensen Huang, Founder & CEO
> 11,000 employees
> $6.9B in FY17
“World’s Best Performing CEOs”
— Harvard Business Review
“World’s Most Admired Companies”
— Fortune
“World’s Best CEOs”
— Barron’s
“Most Innovative Companies”
— Fast Company
“Employees’ Choice: Highest Rated CEOs”
— Glassdoor
“50 Smartest Companies”
— MIT Tech Review
NVIDIA