Hi, welcome to NVIDIA GTC 2020, our first kitchen keynote. I'm coming to you from my
home in California, and I hope all of you are well and sheltering safely at home. Before
we start, I want to take the opportunity to thank all the brave men and women who are
fighting in the front lines against COVID-19. The nurses, the doctors, the truck drivers,
the retail clerks, the warehouse workers, all of the people who are keeping the world
going while we're sheltering at home. We're also doing our part to fight COVID-19.
Scientists and researchers around the world are racing to find a vaccine for COVID-19.
We're working with them across the entire spectrum from containment mitigation, treatment,
to eventually tracking and monitoring. Oxford Nanopore, for example, was able to sequence
the virus genome in just seven hours using our technology. And working with Plotly, we
can do now real time infection rate analysis. And with Oak Ridge and Scripps, we were able
to screen a billion drug compounds in a day versus a year.
The team at Structura, NIH, and UT of Austin used CryoSPARC to reconstruct the 3D structure
of the virus spike protein. NIH and NVIDIA built an AI model to classify COVID-19. Kiwibot
built a robot to deliver medical supply autonomously. And Whiteboard Coordinator built an AI system
to automatically measure and screen the elevated body temperature.
Researchers and scientists applying NVIDIA's accelerated computing to save lives is the
perfect example of our company's purpose. We build computers to solve problems that
normal computers cannot. We address applications from computer graphics, scientific computing,
artificial intelligence to robotics. And our computing platforms are incorporated into
PCs, supercomputers, cloud computers, as well as autonomous machines. We work with scientists
and researchers all over the world and it's a great privilege for our company to partner
with them to advance and discover the future. Our amazing creative team made a video to
celebrate the great works of these researchers and scientists. Let me show it to you.
I am an explorer
Searching for the origins of our universe
And charting a safer path to other worlds
I am a helper
Moving us forward one step at a time
And giving voice to every emotion.
I love you. I love you.
I am a healer
Modeling the future of medicine
And finding the needle in a haystack when every second counts
I am a visionary Uncovering masterpieces lost to the ages
And finding new adventures in a galaxy far, far away
I am a builder
Driving perfection in everything we create
I am even the narrator of the story you are watching (of the story you are watching)
And the composer of the music
And when the world faces its greatest challenge
I give us the power to take it on together
I am AI
It is truly inspiring to see what is now possible because of accelerated computing.
Accelerated computing starts with a specialized processor we call the GPU that offloads the computationally
intensive tasks from the CPU. It also includes an acceleration stack.
The software is a vitally important part of accelerated computing. The acceleration libraries,
the algorithms, the system software, and the optimizations that we develop together with
the application developer. The system architecture is also important.
It is important for us to be able to optimize the system, whether it's for high performance
computers, cloud data centers, PCs, or autonomous machines. Ultimately the most important part
of accelerated computing is developers. Developers optimize their applications, which
increases the performance and the value of the platform, which attracts customers and
increases the installed base which attracts other developers. The positive feedback system
grows and it is now very clear that NVIDIA's accelerated computing platform is at its tipping point
Over the last several years, two fundamentally
new dynamics has happened to take accelerated computing to the next level. The first is
the emergence of this new type of algorithm called data-driven or machine learning algorithms.
Data processing and the movement of data around the data center is more important than ever.
The second, is the applications that we're processing now are so large, it doesn't fit
in any computer. No server, no matter how powerful are able to possibly process the
type of application workloads that we're now looking at. In fact, the server is no
longer the computing unit. The data center is the new computing unit.
With software defined data centers and application developers able to write applications that
run in the entire data center, it is important now for us to think about optimizing across
the entire end to end of a data center from networking and storage to computing.
For us to optimize the entire stack top to bottom.
To be able to optimize at the data center scale is NVIDIA's new approach and I believe
that in the next decade, data center scale computing will be the norm and data centers
will be the fundamental computing unit. The importance of high speed networking and
data processing in a data center is exactly the reason why we bought Mellanox.
Mellanox is the world leader in high-performance networking.
High speed networking and high-speed computing go hand in hand.
Let me show you what they make.
I have one here that I've been cooking for a while.
This is a state of the art Mellanox Spectrum 4000 series ethernet switch.
Each one of the ports can scale up to 400 gigabits per second.
The entire switch has an astounding 25.4 terabits per second of bandwidth.
And what makes this particular switch special beyond the fact that it's high performance
and Mellanox's world famous low latency, are three characteristics.
First, this data buffering architecture that makes it possible to meter the bandwidth across
the entire switch so that every port gets a fair and predictable bandwidth.
Second, incredible virtualization technology so that you can virtualize VXLAN routing across
your hyperscale data center. And third, you could find out exactly what's happening with
this new technology called WJH. What Just Happened.
On the other side of the switch in the server is this programmable smart NIC.
The NVIDIA Mellanox Bluefield 2, the world's most advanced programmable smart NIC.
Bluefield 2 accelerates security and packet processing at line speeds. In this particular case,
up to 200 gigabits per second. The networking stack, the storage stack,
the security stack is now completely offloaded and runs on one of these programmable smart
NICs and what will eventually become essentially a data processing unit.
This is going to represent one of the three major pillars of computing going forward.
The CPU for general purpose computing, the GPU for accelerated computing
and the DPU, which moves data around the data center and does data processing.
No one knows more about networking, storage and security in the data center than Mellanox.
And they are so vital to today's high performance data centers scale computing.
I'm so happy that we're officially one company.
I want to welcome all of our families at Mellanox to NVIDIA.
GTC is all about developers and developers are all about SDKs. This year we announced
and shipped 50 new SDKs. NVIDIA's SDK is formed in the stack that is represented here
and it's basically three layers. The first part of course is our CUDA architecture.
It is architecturally compatible against the entire installed base of NVIDIA and this year
we announced the 11th generation of CUDA. That tells you something about our commitment
to this architecture to forward compatibility and backwards compatibility. A CUDA developer
who develops on CUDA will know that the entire installed base of NVIDIA GPUs will run that
application and run it wonderfully. The next layer is CUDA X, our acceleration
library, our linear algebra library, signal processing library, graph analytics libraries.
And this year we have several new ones, cuDNN 8th version, TensorRT 7.1, which is our deep
learning network compiler and optimizer. And then on top of it, we have our market or domain
specific libraries from RTX which is for ray tracing, HPC for high performance computing,
RAPIDS for data analytics, AI for AI, Clara for healthcare and life sciences, Metropolis,
our video analytics and our streaming signal AI platform, DRIVE autonomous vehicles, Isaac
for robotics, and Aerial 5G, one of our latest for 5G virtual RAN processing.
The number of developers on NVIDIA accelerated computing has continued to grow and is growing
what appears to be an accelerated rate. And this year we have reached 1.8 million developers.
I want to thank all of you for your support. We're committed to continue to advance this
platform and to continue our forward and backwards compatibility of our architecture so that
your installed base continues to grow. This year although we didn't have a live GTC,
46,000 developers signed on to watch GTC. Five and a half million developers downloaded CUDA.
And, we now have over 700 applications that are accelerated.
I have a lot to announce this year. We have four new applications that are really
important that I'm super excited to share with you
We have a new chip that we're announcing and we have four new systems
So let's get started.