SlideShare uma empresa Scribd logo
1 de 25
Baixar para ler offline
GTC 20I8
“GTC was the introduction to the future of AI, a protector, a healer, a helper,
a guardian, a visionary, and just a little slice of amazing.”
—IT Business Edge
“Press quote.”
—Publication
“Clearly the adoption of GPU computing is growing.”
—ZDNet
Deep Learning Institute
10,000 training instances
Keynote
550K views
Show Floor
150 exhibitors
Inception Awards
$1M to 3 AI startups
“If the excitement at GTC this week is any indication, the market
will need lots and lots of GPUs in the years to come.”
—Datanami
GTC is ground zero of the GPU computing movement. NVIDIA pioneered this computing model for those doing
groundbreaking work that cannot be done without a supercharged computer. GTC 2018 was a four-day event with 8,300
registered attendees who were offered more than 600 technical sessions. More than 200 reporters and 80 industry analysts
experienced first-hand NVIDIA’s lineup of announcements.
“NVIDIA’s CEO, Jensen Huang, is a consummate
showman and he didn’t disappoint this year.”
—IT Business Edge
Real-time ray tracing has been the dream of computer scientists since it was first described nearly 40 years ago.
NVIDIA stunned the audience with its new NVIDIA RTX technology — a platform for real-time ray tracing.
“Ray Tracing and Giant GPUs Electrify GTC 2018”
—Electronic Design
The Quadro GV100 with NVIDIA RTX technology is the greatest advance in computer graphics of the past 15 years, since our
introduction of the programmable shader. NVIDIA RTX is the culmination of 10 years of research, combining a new GPU
architecture, algorithms, and deep learning in a way that no one else can. NVIDIA has reinvented computer graphics, again.
“NVIDIA Is Really Throwing
Down the Hammer with
the Quadro GV100”
—Hot Hardware
For 30 years, the dynamics of Moore’s law held true. But CPU performance scaling has slowed. GPU computing is defining a
new, supercharged law. It starts with a highly specialized parallel processor called the GPU and continues through system
design, system software, algorithms, and all the way through optimized applications. The world is jumping on board.
“NVIDIA Is So Far Ahead of the Curve”
—The Inquirer
370PF
20182013
Total GPU FLOPS
of Top 50 Systems
15X in 5 Yrs
8M
20182013
820,000
20182013
CUDA Downloads
5X in 5 Yrs
GPU Developers
10X in 5 Yrs
Measured performance of Amber, CHROMA, GTC, LAMMPS, MILC,
NAMD, Quantum Espresso, SPECFEM3D
1
10
100
2013 2018
GPU–Accelerated
Computing
CPU
Moore’s
Law
TITAN VNVIDIA AI InferenceNVIDIA GPU Cloud
We are advancing GPU computing for deep learning and AI at the speed of light. We create the entire stack, and make it
easily available in every computer, datacenter, and cloud. We supercharged NVIDIA AI with a new “double-sized” 32GB Volta
GPU; announced the NVIDIA DGX-2, the power of 300 servers in a box; expanded our inference platform with TensorRT 4 and
Kubernetes on NVIDIA GPU; and we built out the NVIDIA GPU Cloud registry with 30 GPU-optimized containers and made it
available from more cloud service providers.
“Creating Powerful System-level Solutions Will Give It an Edge
Against Rivals Who Have Merely Developed a Good Chip”
—TheStreet
30 GPU-Optimized
Containers
NEW TensorRT 4, TensorFlow,
Kaldi, ONNX, WinML
Out of stock!NGC Now on AWS, GCP,
AliCloud, Oracle
NEW 32GB NEW with V100 32GB
NEW DGX-2
Tesla V100 DGX Systems Every Cloud
AI researchers want gigantic GPUs. We launched a breakthrough in deep learning computing with the introduction of NVIDIA
DGX-2, the first single server capable of delivering two petaflops of computational power. DGX-2 features NVSwitch, a
revolutionary GPU interconnect fabric which enables its 16 Tesla V100 GPUs to simultaneously communicate at a record
speed of 2.4 terabytes per second. Programming DGX-2 is like programming “the largest GPU in the world.”
“NVIDIA Gave a Look
Inside Its DGX-2, the
Star of This Year’s GTC”
—EE Times
1 DGX-2 | $399K | 10kW
1/8 the Cost 1/60 the Space 1/18 the Power
300 Dual-CPU Servers | $3M | 180 kW
“The More GPUs You Buy, The More You Save”
—Jensen Huang
TRADITIONAL HYPERSCALE CLUSTER NVIDIA DGX-2 FOR DEEP LEARNING
There is a Cambrian explosion of neural networks. Since
AlexNet, thousands of new models have emerged. With
hundreds of layers and billions of parameters, their
complexity has soared by 500X in just 5 years. The
hyperscale datacenters that host them serve billions of
people, cost billions to operate, and are among the most
complex computers the world has ever made. Maintaining
great quality of service while minimizing cost is incredibly
difficult. Jensen helps us remember with PLASTER.
PROGRAMMABILITY
LATENCY
ACCURACY
SIZE
THROUGHPUT
RATE OF LEARNING
ENERGY EFFICIENCY
Convolutional
Networks
Recurrent
Networks
Generative Adversarial
Networks
Reinforcement
Learning
New
Species
“NVIDIA Strengthened Its Inference Push by Unveiling TensorRT 4”
—TheStreet
Every hyperscale server — millions — will be accelerated for AI someday. The workload is complex — remember PLASTER —
and the optimizing compiler technologies are still being invented. We announced TensorRT 4, the latest version of our
inference software, and its integration into Google’s popular TensorFlow framework. We announced that Kaldi, the most
popular framework for speech recognition, is now optimized for GPUs. NVIDIA’s close collaboration with partners such as
Amazon, Facebook, and Microsoft makes it easier for developers to take advantage of GPU acceleration using ONNX and
WinML. Hyperscale datacenters can save big money with NVIDIA Inference Acceleration.
SPEECH SYNTH
DGN, S2S
TensorRT 2
INT8
TensorRT 3
Tensor Core
TensorRT
CNNs
TensorRT 4
TensorFlow
Integration
Kaldi
Optimization
ASR
RNN++
RECOMMENDER
MLP-NCF
NLP
RNN
IMAGE / VIDEO
CNN
30M
HYPERSCALE SERVERS
190X
IMAGE / VIDEO
ResNet-50 with
TensorFlow
Integration
50X
NLP
GNMT
45X
RECOMMENDER
Neural
Collaborative
Filtering
36X
SPEECH
SYNTH
WaveNet
60X
ASR
DeepSpeech 2
DNN
All speed-ups are chip-to-chip CPU to GV100.
Sept ‘16 Apr ‘17 Sept ‘17 Apr ‘18
ONNX
WinML
Kubernetes on NVIDIA GPUs is here! Hyperscale datacenters are made up of thousands of CPUs, memory modules,
networking and storage devices, and system software. Orchestration is key. We announced Kubernetes-ONG, software that
allows orchestration of resources across multi-cloud GPU clusters. Provision on-prem and cloud GPU resources with a single
command — even in the event of a system failure.
“NVIDIA Brings Joy by Bringing GPU Acceleration to Kubernetes”
—TechCrunch
DRIVE PX Parker
DRIVE PX 2
DRIVE Xavier
OrinDRIVE Pegasus
Autonomous vehicles will modernize the $10 trillion transportation industry — making our roads safer and our cities more
efficient. NVIDIA DRIVE is a scalable AI car platform that spans the entire range of autonomous driving, from traffic-jam
pilots to robotaxis. More than 370 companies contributing to the AV industry have adopted DRIVE. At GTC, we demonstrated
our latest DRIVE software stack and gave a sneak peek at our next DRIVE AI car computer, “Orin.”
“NVIDIA Already Has Their Eye on What’s Next … And That Is Orin”
—AnandTech
Each year, 10 trillion miles are driven around the world. Test cars can eventually cover millions of miles, an insignificant
fraction of all the scenarios. We need to cover billions of miles to create a safe and reliable system. We have to invent
something new.
“There Are Too Many Situations to Train For and Not Enough
Testing Time on the Highways”
—VentureBeat
NVIDIA DRIVE Constellation allows cars to drive billions of miles in virtual reality. Constellation consists of two different
GPU servers. The first simulates the environment and what is detected by the car’s many sensors — cameras, radar, and
lidar. The second is the NVIDIA DRIVE Pegasus AI car computer that runs the complete AV software stack and processes
the simulated detected data as if it were coming from a real car.
“NVIDIA Redefines
Autonomous Vehicle
Testing with VR
Simulation System”
—ZDNet
The next chapter of AI is autonomous machines. We created a robotics platform called NVIDIA Isaac to accelerate the
development and deployment of robotics across a broad range of industries. The Isaac SDK performs the important functions
of robotics — perception, localization, navigation, and manipulation. We also created Isaac Sim, a virtual reality simulator
where roboticists can create and train robots. Drop the software created in Isaac Sim into a robot with the Isaac SDK, and an
intelligent machine is born.
“The Robots Are Coming, Thanks to NVIDIA”
—FutureCar
Isaac Sim Isaac SDK
Early detection is the most powerful weapon to treat disease. The latest breakthroughs of AI and computational imaging
can help, but only if put into the hands of doctors using the 3 million medical instruments built a decade ago. We
introduced Project Clara, NVIDIA’s medical imaging supercomputer, to do just that. With Clara, existing instruments will be
supercharged with state-of-the-art image reconstruction, object detection and segmentation, and visualization capabilities.
“Medical Imaging at the Speed of Light: NVIDIA’s Clara Supercomputer”
—ZDNet
NVIDIA GPU SERVER
CUDA | CUDNN | TENSORRT | OGL | RTX
GPU CONTAINERS | VGPU
IMAGING & VISUALIZATION APPS
Billions of smart sensing devices will connect to the internet someday. NVIDIA and Arm announced a partnership to bring
deep learning inferencing to the wide array of mobile, consumer electronics, and Internet of Things devices. Arm has
integrated the NVDLA inference accelerator into its Project Trillium platform for machine learning. The collaboration will
make it simple for IoT chip companies to integrate AI into their designs and help put intelligent, affordable products into
the hands of billions of consumers.
“A New A.I. Era Dawns
for Chip Makers”
—Barron’s
How do you drive a car remotely? Use virtual reality to teleport into the mind of an autonomous machine. Huh? As a final,
mind-bending treat for the GTC audience, Jensen and NVIDIA’s auto team demonstrated “Project Wakanda.” A driver on the
keynote stage entered virtual reality through NVIDIA Holodeck to teleport into a car at the back of the San Jose Convention
Center. Seeing everything through the surround cameras of the car, he was able to remotely drive the car around a parked
truck and safely into a parking space.
“NVIDIA Stuns by Driving a Car in Real Life Through Virtual Reality”
—Yahoo Finance
NEW DGX-2
1ST
2PF COMPUTER
300 SERVERS IN A BOX
NEW TESLA V100 32GB
NEW TENSORRT 4
AND MORE ISAAC
CLARA
ONE ARCHITECTURE
XAVIER – PEGASUS - ORIN
Kubernetes
On
NVIDIA
GPUs
AI AUTO NEW PLATFORMSGRAPHICS
QUADRO GV100
NVIDIA RTX
DRIVE SIM &
CONSTELLATION
“What We Saw at GTC Was the Future”
—IT Business Edge
Capping off an exciting week at GTC 2018, Jensen appeared on CNBC’s Mad Money for an interview with famed “NVIDIA”
dog owner and stock market prognosticator Jim Cramer. The interview covered a broad set of topics, from our recently
announced products to Jensen’s point of view on the future of computer graphics, AI, and autonomous cars.
“NVIDIA CEO Jensen Huang: Tomorrowland of Technology”
—CNBC
“NVIDIA Shows Why It’s
Leading in AI Mind
Expansion at GTC 2018”
—Forbes
“There’s no question that
NVIDIA remains one step
ahead.”
—The Inquirer
“The excitement
throughout the entire
session was amazing.”
—Electronic Times
“The company is about to
drop the pedal and hit
another gear in the AI race.”
—Forbes
GTC 2018: A New AI Era Dawns

Mais conteúdo relacionado

Mais procurados

Shattering AI Performance Records
Shattering AI Performance RecordsShattering AI Performance Records
Shattering AI Performance RecordsNVIDIA
 
HPC Top 5 Stories: May 18th, 2018
HPC Top 5 Stories: May 18th, 2018HPC Top 5 Stories: May 18th, 2018
HPC Top 5 Stories: May 18th, 2018NVIDIA
 
GTC Europe 2017 Keynote
GTC Europe 2017 KeynoteGTC Europe 2017 Keynote
GTC Europe 2017 KeynoteNVIDIA
 
OpenACC Monthly Highlights - March 2018
OpenACC Monthly Highlights - March 2018OpenACC Monthly Highlights - March 2018
OpenACC Monthly Highlights - March 2018NVIDIA
 
The What, Who & Why of NVIDIA
The What, Who & Why of NVIDIAThe What, Who & Why of NVIDIA
The What, Who & Why of NVIDIAAlison B. Lowndes
 
OpenACC Monthly Highlights - May and June 2018
OpenACC Monthly Highlights - May and June 2018OpenACC Monthly Highlights - May and June 2018
OpenACC Monthly Highlights - May and June 2018NVIDIA
 
nvidia COMPANY FULL presentation
 nvidia COMPANY FULL presentation nvidia COMPANY FULL presentation
nvidia COMPANY FULL presentationADITYARANA82
 
Top 5 Stories in Design and Visualization - Nov. 20, 2017
Top 5 Stories in Design and Visualization - Nov. 20, 2017Top 5 Stories in Design and Visualization - Nov. 20, 2017
Top 5 Stories in Design and Visualization - Nov. 20, 2017NVIDIA
 
Tales of AI agents saving the human race!
Tales of AI agents saving the human race!Tales of AI agents saving the human race!
Tales of AI agents saving the human race!Alison B. Lowndes
 
OpenACC Monthly Highlights - February 2018
OpenACC Monthly Highlights - February 2018OpenACC Monthly Highlights - February 2018
OpenACC Monthly Highlights - February 2018NVIDIA
 
HPC Top 5 Stories: September 29, 2017
HPC Top 5 Stories: September 29, 2017HPC Top 5 Stories: September 29, 2017
HPC Top 5 Stories: September 29, 2017NVIDIA
 
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA
 
The Best of AI and HPC in Healthcare and Life Sciences
The Best of AI and HPC in Healthcare and Life SciencesThe Best of AI and HPC in Healthcare and Life Sciences
The Best of AI and HPC in Healthcare and Life SciencesNVIDIA
 
Fuelling the AI Revolution with Gaming
Fuelling the AI Revolution with GamingFuelling the AI Revolution with Gaming
Fuelling the AI Revolution with GamingAlison B. Lowndes
 
NVIDIA GeForce RTX Launch Event
NVIDIA GeForce RTX Launch EventNVIDIA GeForce RTX Launch Event
NVIDIA GeForce RTX Launch EventNVIDIA
 
Fueling the Next Wave of AI Discovery - CVPR 2018
Fueling the Next Wave of AI Discovery - CVPR 2018Fueling the Next Wave of AI Discovery - CVPR 2018
Fueling the Next Wave of AI Discovery - CVPR 2018NVIDIA
 
GTC China 2016
GTC China 2016GTC China 2016
GTC China 2016NVIDIA
 

Mais procurados (20)

Shattering AI Performance Records
Shattering AI Performance RecordsShattering AI Performance Records
Shattering AI Performance Records
 
HPC Top 5 Stories: May 18th, 2018
HPC Top 5 Stories: May 18th, 2018HPC Top 5 Stories: May 18th, 2018
HPC Top 5 Stories: May 18th, 2018
 
GTC Europe 2017 Keynote
GTC Europe 2017 KeynoteGTC Europe 2017 Keynote
GTC Europe 2017 Keynote
 
EPSRC CDT Conference
EPSRC CDT ConferenceEPSRC CDT Conference
EPSRC CDT Conference
 
OpenACC Monthly Highlights - March 2018
OpenACC Monthly Highlights - March 2018OpenACC Monthly Highlights - March 2018
OpenACC Monthly Highlights - March 2018
 
The What, Who & Why of NVIDIA
The What, Who & Why of NVIDIAThe What, Who & Why of NVIDIA
The What, Who & Why of NVIDIA
 
OpenACC Monthly Highlights - May and June 2018
OpenACC Monthly Highlights - May and June 2018OpenACC Monthly Highlights - May and June 2018
OpenACC Monthly Highlights - May and June 2018
 
nvidia COMPANY FULL presentation
 nvidia COMPANY FULL presentation nvidia COMPANY FULL presentation
nvidia COMPANY FULL presentation
 
Innovation Roundtable
Innovation RoundtableInnovation Roundtable
Innovation Roundtable
 
Top 5 Stories in Design and Visualization - Nov. 20, 2017
Top 5 Stories in Design and Visualization - Nov. 20, 2017Top 5 Stories in Design and Visualization - Nov. 20, 2017
Top 5 Stories in Design and Visualization - Nov. 20, 2017
 
Tales of AI agents saving the human race!
Tales of AI agents saving the human race!Tales of AI agents saving the human race!
Tales of AI agents saving the human race!
 
OpenACC Monthly Highlights - February 2018
OpenACC Monthly Highlights - February 2018OpenACC Monthly Highlights - February 2018
OpenACC Monthly Highlights - February 2018
 
HPC Top 5 Stories: September 29, 2017
HPC Top 5 Stories: September 29, 2017HPC Top 5 Stories: September 29, 2017
HPC Top 5 Stories: September 29, 2017
 
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019
NVIDIA CEO Jensen Huang Presentation at Supercomputing 2019
 
The Best of AI and HPC in Healthcare and Life Sciences
The Best of AI and HPC in Healthcare and Life SciencesThe Best of AI and HPC in Healthcare and Life Sciences
The Best of AI and HPC in Healthcare and Life Sciences
 
Fuelling the AI Revolution with Gaming
Fuelling the AI Revolution with GamingFuelling the AI Revolution with Gaming
Fuelling the AI Revolution with Gaming
 
NVIDIA GeForce RTX Launch Event
NVIDIA GeForce RTX Launch EventNVIDIA GeForce RTX Launch Event
NVIDIA GeForce RTX Launch Event
 
NVIDIA DataArt IT
NVIDIA DataArt ITNVIDIA DataArt IT
NVIDIA DataArt IT
 
Fueling the Next Wave of AI Discovery - CVPR 2018
Fueling the Next Wave of AI Discovery - CVPR 2018Fueling the Next Wave of AI Discovery - CVPR 2018
Fueling the Next Wave of AI Discovery - CVPR 2018
 
GTC China 2016
GTC China 2016GTC China 2016
GTC China 2016
 

Semelhante a GTC 2018: A New AI Era Dawns

GTC World Tour 2017 highlights
GTC World Tour 2017 highlightsGTC World Tour 2017 highlights
GTC World Tour 2017 highlightsShanker Trivedi
 
GTC 2017: The AI Revolution
GTC 2017: The AI RevolutionGTC 2017: The AI Revolution
GTC 2017: The AI RevolutionNVIDIA
 
Nvidia why every industry should be thinking about AI today
Nvidia why every industry should be thinking about AI todayNvidia why every industry should be thinking about AI today
Nvidia why every industry should be thinking about AI todayJustin Hayward
 
NVIDIA Story 2023.pdf
NVIDIA Story 2023.pdfNVIDIA Story 2023.pdf
NVIDIA Story 2023.pdfNVIDIA
 
NVIDIA – Inventor of the GPU
NVIDIA – Inventor of the GPUNVIDIA – Inventor of the GPU
NVIDIA – Inventor of the GPUNVIDIA
 
Enabling Artificial Intelligence - Alison B. Lowndes
Enabling Artificial Intelligence - Alison B. LowndesEnabling Artificial Intelligence - Alison B. Lowndes
Enabling Artificial Intelligence - Alison B. LowndesWithTheBest
 
Nvidia Corporate Presentation
Nvidia Corporate PresentationNvidia Corporate Presentation
Nvidia Corporate PresentationShanker Trivedi
 
GTC China 2017 Highlights
GTC China 2017 HighlightsGTC China 2017 Highlights
GTC China 2017 HighlightsNVIDIA
 
NVIDIA Brochure 2021 Company Overview
NVIDIA Brochure 2021 Company OverviewNVIDIA Brochure 2021 Company Overview
NVIDIA Brochure 2021 Company OverviewNVIDIA
 
NVIDIA CES 2016 Highlights
NVIDIA CES 2016 HighlightsNVIDIA CES 2016 Highlights
NVIDIA CES 2016 HighlightsNVIDIA
 
Nvidia Overview 2015
Nvidia Overview 2015 Nvidia Overview 2015
Nvidia Overview 2015 0928283765
 
NVIDIA Overview 2015
NVIDIA Overview 2015NVIDIA Overview 2015
NVIDIA Overview 2015NVIDIA
 
Nvidia overview 2015 by Nvidia
Nvidia overview 2015 by NvidiaNvidia overview 2015 by Nvidia
Nvidia overview 2015 by NvidiaEnrique Zp
 
NVIDIA CES 2014 highlights
NVIDIA CES 2014 highlightsNVIDIA CES 2014 highlights
NVIDIA CES 2014 highlightsJames Overend
 

Semelhante a GTC 2018: A New AI Era Dawns (20)

GTC World Tour 2017 highlights
GTC World Tour 2017 highlightsGTC World Tour 2017 highlights
GTC World Tour 2017 highlights
 
GT C Tour 2018 Highlights
GT C Tour 2018 HighlightsGT C Tour 2018 Highlights
GT C Tour 2018 Highlights
 
GTC 2017: The AI Revolution
GTC 2017: The AI RevolutionGTC 2017: The AI Revolution
GTC 2017: The AI Revolution
 
Nvidia why every industry should be thinking about AI today
Nvidia why every industry should be thinking about AI todayNvidia why every industry should be thinking about AI today
Nvidia why every industry should be thinking about AI today
 
Aplicações Potenciais de Deep Learning à Indústria do Petróleo
Aplicações Potenciais de Deep Learning à Indústria do PetróleoAplicações Potenciais de Deep Learning à Indústria do Petróleo
Aplicações Potenciais de Deep Learning à Indústria do Petróleo
 
nvidia-intro
nvidia-intronvidia-intro
nvidia-intro
 
NVIDIA Story 2023.pdf
NVIDIA Story 2023.pdfNVIDIA Story 2023.pdf
NVIDIA Story 2023.pdf
 
NVIDIA – Inventor of the GPU
NVIDIA – Inventor of the GPUNVIDIA – Inventor of the GPU
NVIDIA – Inventor of the GPU
 
GTC2016highlights
GTC2016highlightsGTC2016highlights
GTC2016highlights
 
NVIDIA
NVIDIANVIDIA
NVIDIA
 
Nvidia 2018 1
Nvidia 2018 1Nvidia 2018 1
Nvidia 2018 1
 
Enabling Artificial Intelligence - Alison B. Lowndes
Enabling Artificial Intelligence - Alison B. LowndesEnabling Artificial Intelligence - Alison B. Lowndes
Enabling Artificial Intelligence - Alison B. Lowndes
 
Nvidia Corporate Presentation
Nvidia Corporate PresentationNvidia Corporate Presentation
Nvidia Corporate Presentation
 
GTC China 2017 Highlights
GTC China 2017 HighlightsGTC China 2017 Highlights
GTC China 2017 Highlights
 
NVIDIA Brochure 2021 Company Overview
NVIDIA Brochure 2021 Company OverviewNVIDIA Brochure 2021 Company Overview
NVIDIA Brochure 2021 Company Overview
 
NVIDIA CES 2016 Highlights
NVIDIA CES 2016 HighlightsNVIDIA CES 2016 Highlights
NVIDIA CES 2016 Highlights
 
Nvidia Overview 2015
Nvidia Overview 2015 Nvidia Overview 2015
Nvidia Overview 2015
 
NVIDIA Overview 2015
NVIDIA Overview 2015NVIDIA Overview 2015
NVIDIA Overview 2015
 
Nvidia overview 2015 by Nvidia
Nvidia overview 2015 by NvidiaNvidia overview 2015 by Nvidia
Nvidia overview 2015 by Nvidia
 
NVIDIA CES 2014 highlights
NVIDIA CES 2014 highlightsNVIDIA CES 2014 highlights
NVIDIA CES 2014 highlights
 

Mais de NVIDIA

NVIDIA GTC2022 Spring Highlights
NVIDIA GTC2022 Spring HighlightsNVIDIA GTC2022 Spring Highlights
NVIDIA GTC2022 Spring HighlightsNVIDIA
 
NVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October SummaryNVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October SummaryNVIDIA
 
NLP for Biomedical Applications
NLP for Biomedical ApplicationsNLP for Biomedical Applications
NLP for Biomedical ApplicationsNVIDIA
 
Top 5 Deep Learning and AI Stories - August 30, 2019
Top 5 Deep Learning and AI Stories - August 30, 2019Top 5 Deep Learning and AI Stories - August 30, 2019
Top 5 Deep Learning and AI Stories - August 30, 2019NVIDIA
 
Seven Ways to Boost Artificial Intelligence Research
Seven Ways to Boost Artificial Intelligence ResearchSeven Ways to Boost Artificial Intelligence Research
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
 
NVIDIA Developer Program Overview
NVIDIA Developer Program OverviewNVIDIA Developer Program Overview
NVIDIA Developer Program OverviewNVIDIA
 
NVIDIA at Computex 2019
NVIDIA at Computex 2019 NVIDIA at Computex 2019
NVIDIA at Computex 2019 NVIDIA
 
Top 5 DGX Sessions From GTC 2019
Top 5 DGX Sessions From GTC 2019Top 5 DGX Sessions From GTC 2019
Top 5 DGX Sessions From GTC 2019NVIDIA
 
DGX POD Top 4 Sessions From GTC 2019
DGX POD Top 4 Sessions From GTC 2019DGX POD Top 4 Sessions From GTC 2019
DGX POD Top 4 Sessions From GTC 2019NVIDIA
 
This Week in Data Science - Top 5 News - April 26, 2019
This Week in Data Science - Top 5 News - April 26, 2019This Week in Data Science - Top 5 News - April 26, 2019
This Week in Data Science - Top 5 News - April 26, 2019NVIDIA
 
CUDA DLI Training Courses at GTC 2019
CUDA DLI Training Courses at GTC 2019CUDA DLI Training Courses at GTC 2019
CUDA DLI Training Courses at GTC 2019NVIDIA
 
Transforming Healthcare at GTC Silicon Valley
Transforming Healthcare at GTC Silicon ValleyTransforming Healthcare at GTC Silicon Valley
Transforming Healthcare at GTC Silicon ValleyNVIDIA
 
OpenACC Monthly Highlights February 2019
OpenACC Monthly Highlights February 2019OpenACC Monthly Highlights February 2019
OpenACC Monthly Highlights February 2019NVIDIA
 
CUDA Sessions You Won't Want to Miss at GTC 2019
CUDA Sessions You Won't Want to Miss at GTC 2019CUDA Sessions You Won't Want to Miss at GTC 2019
CUDA Sessions You Won't Want to Miss at GTC 2019NVIDIA
 
Empowering Radiology with AI
Empowering Radiology with AIEmpowering Radiology with AI
Empowering Radiology with AINVIDIA
 
Top 5 Deep Learning and AI Stories - November 30, 2018
Top 5 Deep Learning and AI Stories - November 30, 2018Top 5 Deep Learning and AI Stories - November 30, 2018
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
 
Top 5 AI and Deep Learning Stories - November 9, 2018
Top 5 AI and Deep Learning Stories - November 9, 2018Top 5 AI and Deep Learning Stories - November 9, 2018
Top 5 AI and Deep Learning Stories - November 9, 2018NVIDIA
 
Key Healthcare Takeaways from GTC in October
Key Healthcare Takeaways from GTC in OctoberKey Healthcare Takeaways from GTC in October
Key Healthcare Takeaways from GTC in OctoberNVIDIA
 
The AI Opportunity in Federal - Key Highlights from GTC DC 2018
The AI Opportunity in Federal - Key Highlights from GTC DC 2018The AI Opportunity in Federal - Key Highlights from GTC DC 2018
The AI Opportunity in Federal - Key Highlights from GTC DC 2018NVIDIA
 
Top 5 AI and Deep Learning Stories - October 26, 2018
Top 5 AI and Deep Learning Stories - October 26, 2018Top 5 AI and Deep Learning Stories - October 26, 2018
Top 5 AI and Deep Learning Stories - October 26, 2018NVIDIA
 

Mais de NVIDIA (20)

NVIDIA GTC2022 Spring Highlights
NVIDIA GTC2022 Spring HighlightsNVIDIA GTC2022 Spring Highlights
NVIDIA GTC2022 Spring Highlights
 
NVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October SummaryNVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October Summary
 
NLP for Biomedical Applications
NLP for Biomedical ApplicationsNLP for Biomedical Applications
NLP for Biomedical Applications
 
Top 5 Deep Learning and AI Stories - August 30, 2019
Top 5 Deep Learning and AI Stories - August 30, 2019Top 5 Deep Learning and AI Stories - August 30, 2019
Top 5 Deep Learning and AI Stories - August 30, 2019
 
Seven Ways to Boost Artificial Intelligence Research
Seven Ways to Boost Artificial Intelligence ResearchSeven Ways to Boost Artificial Intelligence Research
Seven Ways to Boost Artificial Intelligence Research
 
NVIDIA Developer Program Overview
NVIDIA Developer Program OverviewNVIDIA Developer Program Overview
NVIDIA Developer Program Overview
 
NVIDIA at Computex 2019
NVIDIA at Computex 2019 NVIDIA at Computex 2019
NVIDIA at Computex 2019
 
Top 5 DGX Sessions From GTC 2019
Top 5 DGX Sessions From GTC 2019Top 5 DGX Sessions From GTC 2019
Top 5 DGX Sessions From GTC 2019
 
DGX POD Top 4 Sessions From GTC 2019
DGX POD Top 4 Sessions From GTC 2019DGX POD Top 4 Sessions From GTC 2019
DGX POD Top 4 Sessions From GTC 2019
 
This Week in Data Science - Top 5 News - April 26, 2019
This Week in Data Science - Top 5 News - April 26, 2019This Week in Data Science - Top 5 News - April 26, 2019
This Week in Data Science - Top 5 News - April 26, 2019
 
CUDA DLI Training Courses at GTC 2019
CUDA DLI Training Courses at GTC 2019CUDA DLI Training Courses at GTC 2019
CUDA DLI Training Courses at GTC 2019
 
Transforming Healthcare at GTC Silicon Valley
Transforming Healthcare at GTC Silicon ValleyTransforming Healthcare at GTC Silicon Valley
Transforming Healthcare at GTC Silicon Valley
 
OpenACC Monthly Highlights February 2019
OpenACC Monthly Highlights February 2019OpenACC Monthly Highlights February 2019
OpenACC Monthly Highlights February 2019
 
CUDA Sessions You Won't Want to Miss at GTC 2019
CUDA Sessions You Won't Want to Miss at GTC 2019CUDA Sessions You Won't Want to Miss at GTC 2019
CUDA Sessions You Won't Want to Miss at GTC 2019
 
Empowering Radiology with AI
Empowering Radiology with AIEmpowering Radiology with AI
Empowering Radiology with AI
 
Top 5 Deep Learning and AI Stories - November 30, 2018
Top 5 Deep Learning and AI Stories - November 30, 2018Top 5 Deep Learning and AI Stories - November 30, 2018
Top 5 Deep Learning and AI Stories - November 30, 2018
 
Top 5 AI and Deep Learning Stories - November 9, 2018
Top 5 AI and Deep Learning Stories - November 9, 2018Top 5 AI and Deep Learning Stories - November 9, 2018
Top 5 AI and Deep Learning Stories - November 9, 2018
 
Key Healthcare Takeaways from GTC in October
Key Healthcare Takeaways from GTC in OctoberKey Healthcare Takeaways from GTC in October
Key Healthcare Takeaways from GTC in October
 
The AI Opportunity in Federal - Key Highlights from GTC DC 2018
The AI Opportunity in Federal - Key Highlights from GTC DC 2018The AI Opportunity in Federal - Key Highlights from GTC DC 2018
The AI Opportunity in Federal - Key Highlights from GTC DC 2018
 
Top 5 AI and Deep Learning Stories - October 26, 2018
Top 5 AI and Deep Learning Stories - October 26, 2018Top 5 AI and Deep Learning Stories - October 26, 2018
Top 5 AI and Deep Learning Stories - October 26, 2018
 

Último

Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 

Último (20)

Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 

GTC 2018: A New AI Era Dawns

  • 2. “GTC was the introduction to the future of AI, a protector, a healer, a helper, a guardian, a visionary, and just a little slice of amazing.” —IT Business Edge
  • 3. “Press quote.” —Publication “Clearly the adoption of GPU computing is growing.” —ZDNet
  • 4. Deep Learning Institute 10,000 training instances Keynote 550K views Show Floor 150 exhibitors Inception Awards $1M to 3 AI startups “If the excitement at GTC this week is any indication, the market will need lots and lots of GPUs in the years to come.” —Datanami GTC is ground zero of the GPU computing movement. NVIDIA pioneered this computing model for those doing groundbreaking work that cannot be done without a supercharged computer. GTC 2018 was a four-day event with 8,300 registered attendees who were offered more than 600 technical sessions. More than 200 reporters and 80 industry analysts experienced first-hand NVIDIA’s lineup of announcements.
  • 5. “NVIDIA’s CEO, Jensen Huang, is a consummate showman and he didn’t disappoint this year.” —IT Business Edge
  • 6. Real-time ray tracing has been the dream of computer scientists since it was first described nearly 40 years ago. NVIDIA stunned the audience with its new NVIDIA RTX technology — a platform for real-time ray tracing. “Ray Tracing and Giant GPUs Electrify GTC 2018” —Electronic Design
  • 7. The Quadro GV100 with NVIDIA RTX technology is the greatest advance in computer graphics of the past 15 years, since our introduction of the programmable shader. NVIDIA RTX is the culmination of 10 years of research, combining a new GPU architecture, algorithms, and deep learning in a way that no one else can. NVIDIA has reinvented computer graphics, again. “NVIDIA Is Really Throwing Down the Hammer with the Quadro GV100” —Hot Hardware
  • 8. For 30 years, the dynamics of Moore’s law held true. But CPU performance scaling has slowed. GPU computing is defining a new, supercharged law. It starts with a highly specialized parallel processor called the GPU and continues through system design, system software, algorithms, and all the way through optimized applications. The world is jumping on board. “NVIDIA Is So Far Ahead of the Curve” —The Inquirer 370PF 20182013 Total GPU FLOPS of Top 50 Systems 15X in 5 Yrs 8M 20182013 820,000 20182013 CUDA Downloads 5X in 5 Yrs GPU Developers 10X in 5 Yrs Measured performance of Amber, CHROMA, GTC, LAMMPS, MILC, NAMD, Quantum Espresso, SPECFEM3D 1 10 100 2013 2018 GPU–Accelerated Computing CPU Moore’s Law
  • 9. TITAN VNVIDIA AI InferenceNVIDIA GPU Cloud We are advancing GPU computing for deep learning and AI at the speed of light. We create the entire stack, and make it easily available in every computer, datacenter, and cloud. We supercharged NVIDIA AI with a new “double-sized” 32GB Volta GPU; announced the NVIDIA DGX-2, the power of 300 servers in a box; expanded our inference platform with TensorRT 4 and Kubernetes on NVIDIA GPU; and we built out the NVIDIA GPU Cloud registry with 30 GPU-optimized containers and made it available from more cloud service providers. “Creating Powerful System-level Solutions Will Give It an Edge Against Rivals Who Have Merely Developed a Good Chip” —TheStreet 30 GPU-Optimized Containers NEW TensorRT 4, TensorFlow, Kaldi, ONNX, WinML Out of stock!NGC Now on AWS, GCP, AliCloud, Oracle NEW 32GB NEW with V100 32GB NEW DGX-2 Tesla V100 DGX Systems Every Cloud
  • 10. AI researchers want gigantic GPUs. We launched a breakthrough in deep learning computing with the introduction of NVIDIA DGX-2, the first single server capable of delivering two petaflops of computational power. DGX-2 features NVSwitch, a revolutionary GPU interconnect fabric which enables its 16 Tesla V100 GPUs to simultaneously communicate at a record speed of 2.4 terabytes per second. Programming DGX-2 is like programming “the largest GPU in the world.” “NVIDIA Gave a Look Inside Its DGX-2, the Star of This Year’s GTC” —EE Times
  • 11. 1 DGX-2 | $399K | 10kW 1/8 the Cost 1/60 the Space 1/18 the Power 300 Dual-CPU Servers | $3M | 180 kW “The More GPUs You Buy, The More You Save” —Jensen Huang TRADITIONAL HYPERSCALE CLUSTER NVIDIA DGX-2 FOR DEEP LEARNING
  • 12. There is a Cambrian explosion of neural networks. Since AlexNet, thousands of new models have emerged. With hundreds of layers and billions of parameters, their complexity has soared by 500X in just 5 years. The hyperscale datacenters that host them serve billions of people, cost billions to operate, and are among the most complex computers the world has ever made. Maintaining great quality of service while minimizing cost is incredibly difficult. Jensen helps us remember with PLASTER. PROGRAMMABILITY LATENCY ACCURACY SIZE THROUGHPUT RATE OF LEARNING ENERGY EFFICIENCY Convolutional Networks Recurrent Networks Generative Adversarial Networks Reinforcement Learning New Species
  • 13. “NVIDIA Strengthened Its Inference Push by Unveiling TensorRT 4” —TheStreet Every hyperscale server — millions — will be accelerated for AI someday. The workload is complex — remember PLASTER — and the optimizing compiler technologies are still being invented. We announced TensorRT 4, the latest version of our inference software, and its integration into Google’s popular TensorFlow framework. We announced that Kaldi, the most popular framework for speech recognition, is now optimized for GPUs. NVIDIA’s close collaboration with partners such as Amazon, Facebook, and Microsoft makes it easier for developers to take advantage of GPU acceleration using ONNX and WinML. Hyperscale datacenters can save big money with NVIDIA Inference Acceleration. SPEECH SYNTH DGN, S2S TensorRT 2 INT8 TensorRT 3 Tensor Core TensorRT CNNs TensorRT 4 TensorFlow Integration Kaldi Optimization ASR RNN++ RECOMMENDER MLP-NCF NLP RNN IMAGE / VIDEO CNN 30M HYPERSCALE SERVERS 190X IMAGE / VIDEO ResNet-50 with TensorFlow Integration 50X NLP GNMT 45X RECOMMENDER Neural Collaborative Filtering 36X SPEECH SYNTH WaveNet 60X ASR DeepSpeech 2 DNN All speed-ups are chip-to-chip CPU to GV100. Sept ‘16 Apr ‘17 Sept ‘17 Apr ‘18 ONNX WinML
  • 14. Kubernetes on NVIDIA GPUs is here! Hyperscale datacenters are made up of thousands of CPUs, memory modules, networking and storage devices, and system software. Orchestration is key. We announced Kubernetes-ONG, software that allows orchestration of resources across multi-cloud GPU clusters. Provision on-prem and cloud GPU resources with a single command — even in the event of a system failure. “NVIDIA Brings Joy by Bringing GPU Acceleration to Kubernetes” —TechCrunch
  • 15. DRIVE PX Parker DRIVE PX 2 DRIVE Xavier OrinDRIVE Pegasus Autonomous vehicles will modernize the $10 trillion transportation industry — making our roads safer and our cities more efficient. NVIDIA DRIVE is a scalable AI car platform that spans the entire range of autonomous driving, from traffic-jam pilots to robotaxis. More than 370 companies contributing to the AV industry have adopted DRIVE. At GTC, we demonstrated our latest DRIVE software stack and gave a sneak peek at our next DRIVE AI car computer, “Orin.” “NVIDIA Already Has Their Eye on What’s Next … And That Is Orin” —AnandTech
  • 16. Each year, 10 trillion miles are driven around the world. Test cars can eventually cover millions of miles, an insignificant fraction of all the scenarios. We need to cover billions of miles to create a safe and reliable system. We have to invent something new. “There Are Too Many Situations to Train For and Not Enough Testing Time on the Highways” —VentureBeat
  • 17. NVIDIA DRIVE Constellation allows cars to drive billions of miles in virtual reality. Constellation consists of two different GPU servers. The first simulates the environment and what is detected by the car’s many sensors — cameras, radar, and lidar. The second is the NVIDIA DRIVE Pegasus AI car computer that runs the complete AV software stack and processes the simulated detected data as if it were coming from a real car. “NVIDIA Redefines Autonomous Vehicle Testing with VR Simulation System” —ZDNet
  • 18. The next chapter of AI is autonomous machines. We created a robotics platform called NVIDIA Isaac to accelerate the development and deployment of robotics across a broad range of industries. The Isaac SDK performs the important functions of robotics — perception, localization, navigation, and manipulation. We also created Isaac Sim, a virtual reality simulator where roboticists can create and train robots. Drop the software created in Isaac Sim into a robot with the Isaac SDK, and an intelligent machine is born. “The Robots Are Coming, Thanks to NVIDIA” —FutureCar Isaac Sim Isaac SDK
  • 19. Early detection is the most powerful weapon to treat disease. The latest breakthroughs of AI and computational imaging can help, but only if put into the hands of doctors using the 3 million medical instruments built a decade ago. We introduced Project Clara, NVIDIA’s medical imaging supercomputer, to do just that. With Clara, existing instruments will be supercharged with state-of-the-art image reconstruction, object detection and segmentation, and visualization capabilities. “Medical Imaging at the Speed of Light: NVIDIA’s Clara Supercomputer” —ZDNet NVIDIA GPU SERVER CUDA | CUDNN | TENSORRT | OGL | RTX GPU CONTAINERS | VGPU IMAGING & VISUALIZATION APPS
  • 20. Billions of smart sensing devices will connect to the internet someday. NVIDIA and Arm announced a partnership to bring deep learning inferencing to the wide array of mobile, consumer electronics, and Internet of Things devices. Arm has integrated the NVDLA inference accelerator into its Project Trillium platform for machine learning. The collaboration will make it simple for IoT chip companies to integrate AI into their designs and help put intelligent, affordable products into the hands of billions of consumers. “A New A.I. Era Dawns for Chip Makers” —Barron’s
  • 21. How do you drive a car remotely? Use virtual reality to teleport into the mind of an autonomous machine. Huh? As a final, mind-bending treat for the GTC audience, Jensen and NVIDIA’s auto team demonstrated “Project Wakanda.” A driver on the keynote stage entered virtual reality through NVIDIA Holodeck to teleport into a car at the back of the San Jose Convention Center. Seeing everything through the surround cameras of the car, he was able to remotely drive the car around a parked truck and safely into a parking space. “NVIDIA Stuns by Driving a Car in Real Life Through Virtual Reality” —Yahoo Finance
  • 22. NEW DGX-2 1ST 2PF COMPUTER 300 SERVERS IN A BOX NEW TESLA V100 32GB NEW TENSORRT 4 AND MORE ISAAC CLARA ONE ARCHITECTURE XAVIER – PEGASUS - ORIN Kubernetes On NVIDIA GPUs AI AUTO NEW PLATFORMSGRAPHICS QUADRO GV100 NVIDIA RTX DRIVE SIM & CONSTELLATION “What We Saw at GTC Was the Future” —IT Business Edge
  • 23. Capping off an exciting week at GTC 2018, Jensen appeared on CNBC’s Mad Money for an interview with famed “NVIDIA” dog owner and stock market prognosticator Jim Cramer. The interview covered a broad set of topics, from our recently announced products to Jensen’s point of view on the future of computer graphics, AI, and autonomous cars. “NVIDIA CEO Jensen Huang: Tomorrowland of Technology” —CNBC
  • 24. “NVIDIA Shows Why It’s Leading in AI Mind Expansion at GTC 2018” —Forbes “There’s no question that NVIDIA remains one step ahead.” —The Inquirer “The excitement throughout the entire session was amazing.” —Electronic Times “The company is about to drop the pedal and hit another gear in the AI race.” —Forbes