Jensen Huang, Founder & CEO, GTC Europe 2017
A NEW COMPUTING ERA
2
1980 1990 2000 2010 2020
Original data up to the year 2010 collected and plotted by M. Horowitz,
F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp
103
105
107
1.5X per year
1.1X per year
TWO FORCES DRIVING
THE FUTURE OF COMPUTING
40 Years of CPU Trend Data
Transistors
(thousands)
Single-threaded perf
3
TWO FORCES DRIVING
THE FUTURE OF COMPUTING
The Big Bang of Deep Learning
1980 1990 2000 2010 2020
Original data up to the year 2010 collected and plotted by M. Horowitz,
F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp
103
105
107
1.5X per year
1.1X per year
40 Years of CPU Trend Data
Transistors
(thousands)
Single-threaded perf
4
1980 1990 2000 2010 2020
Original data up to the year 2010 collected and plotted by M. Horowitz,
F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp
103
105
107
1.5X per year
40 Years of CPU Trend Data
Single-threaded perf
RISE OF NVIDIA GPU COMPUTING
NVIDIA Volta GPU | 21B xtors | 120 TFLOPS
GPU-Computing perf
1.5X per year
1.1X per year
5
RISE OF NVIDIA GPU COMPUTING
CUDA Downloads
5X in 5 Years
Global GTC Attendees
10X in 5 Years
GPU Developers
15X in 5 Years
20172012 2012
1.8M645,000
201720172012
22,000
6
NVIDIA GPU-ACCELERATED APPLICATIONS
Scientific Computing Deep LearningComputer Graphics Data Science
NVIDIA CUDA
AMBER
Molecular
Dynamics
COSMO
Climate
Weather
ChaNGa
Astrophysics
Gaussian
Quantum
Chemistry
Schlumberger WG
Seismic Processing
PowerGrid
Medical Imaging
ANSYS Fluent
Computational Fluid
Dynamics
SIMULIA Abaqus
Finite-Element
Analysis
K-Means Clustering Gradient Boosting
Support Vector MachineGeneralized Linear Model
DATABASES
ANALYTICS
7
NVIDIA GPU-ACCELERATED INDUSTRIES
HPC INTERNET SERVICES TRANSPORTATION MEDICAL IMAGING LOGISTICS
Ride Sharing
Self-Driving Cars
Design &
Simulation
Radiology
Volumetric
Rendering
3D CT
AV Truck
Route
Management
Warehouse
Automation
Photo
Album
Recommendations
Social Media
Weather
Molecular
Dynamics
Materials
Science
8
NVIDIA GPU ACCELERATES
2017 NOBEL PRIZES
IN CHEMISTRY AND PHYSICS Cryogenic Electron Microscopy
Jacques Dubochet, Joachim Frank, Richard Henderson
Detection of Gravitational Waves
Rainer Weiss, Barry Barish, Kip Thorne
Resolution
before 2013
Resolution
at present
9
ANNOUNCING
NVIDIA HOLODECK
THE DESIGN LAB OF THE FUTURE
Photorealistic Models
Physically Simulated Interaction
Virtual Team Collaboration
GPU-accelerated AI
10
CREATE AND COLLABORATE
IN NVIDIA HOLODECK
CATIA / Siemens NX
Creo / Alias
Maya / 3dsMAX
11
12
ANNOUNCING
NVIDIA HOLODECK
THE DESIGN LAB OF THE FUTURE
Photorealistic Models
Physically Simulated Interaction
Virtual Team Collaboration
GPU-accelerated AI
Early Access NOW
nvidia.com/holodeck
13
THE ERA OF AI
NIPS RegistrationAI Startup Funding
12X in 5 Years
Deep Learning Papers Published
13X in 3 Years
2017201420172012
$6.6B 3,000
-50 -25 0 25
1500
3000
4500
6000
2017
2016
2002
14
SOLVING THE UNSOLVABLE
NVIDIA
Interactive Ray Tracing
15
SOLVING THE UNSOLVABLE
NVIDIA
Interactive Ray Tracing
NVIDIA / Remedy
Audio-driven Facial Animation
16
SOLVING THE UNSOLVABLE
NVIDIA
Interactive Ray Tracing
NVIDIA / Remedy
Audio-driven Facial Animation
WRNCH
Pose Estimation
17
SOLVING THE UNSOLVABLE
NVIDIA
Interactive Ray Tracing
NVIDIA / Remedy
Audio-driven Facial Animation
WRNCH
Pose Estimation
University of Edinburgh
Character Animation
18
SOLVING THE UNSOLVABLE
NVIDIA
Interactive Ray Tracing
NVIDIA / Remedy
Audio-driven Facial Animation
WRNCH
Pose Estimation
University of Edinburgh
Character Animation
UC Berkeley / OpenAI
One-shot Imitation Learning
19
THE WORLD’S AI PLATFORM
NVIDIA AI PLATFORM
IT Services
Automotive
Healthcare
Smart City
Manufacturing
Drones
Fin. Services
Other
NVIDIA Inception: 1,900 DL Startups Every Cloud and Data CenterEvery Framework
20
AI INFERENCE
IS THE NEXT GREAT CHALLENGE
Training InferencingDNN Model
21
EXPLOSION OF INTELLIGENT MACHINES
20M Inference Servers Trillions of IoT Devices100s of Millions of Autonomous Machines
22
EXPLOSION OF NETWORK DESIGN
Recurrent Networks Generative Adversarial NetworksConvolution Networks Reinforcement Learning
GRU HighwayLSTM
Embedding BiDirectionalProjection
ReLuPRelu
Dropout PoolingConcat
BatchNorm
A3C
Dueling DQNDQNConditional GAN
Latent space GAN
3D-GAN
Coupled GAN
Rank GAN
Speech Enhancement GAN
23
2014 2015 2016 2017 20182013 2014 2015 2016 2017 20182011 2013 2015 2017
EXPLOSION OF NETWORK COMPLEXITY
Translation Network Complexity
GOPS * Bandwidth
Image Network Complexity
GOPS * Bandwidth
Speech Network Complexity
GOPS * Bandwidth
2012 2014 2016
ResNet-50
Inception-v2
Inception-v4
AlexNet GoogLeNet
350X
30X
DeepSpeech 3
DeepSpeech 2
DeepSpeech
10X
GNMT
OpenNMT
MoE
24
NEW NVIDIA TENSORRT 3
DRIVE PX 2
JETSON TX2
NVIDIA DLA
TESLA P4
TensorRT
TESLA V100
Programmable Inference Accelerator
Compile and Optimize Neural Networks | Support for Every Framework
Optimize for Each Target Platform
25
NEW NVIDIA TENSORRT 3
Programmable Inference Accelerator
Weight & Activation Precision Calibration | Layer & Tensor Fusion
Kernel Auto-Tuning | Multi-Stream Execution
concat
batch nm batch nm batch nm batch nm
max pool
input
relu relu relu relu
1x1 conv 3x3 conv 5x5 conv 1x1 conv
relu
batch nm
1x1 conv
relu
batch nm
1x1 conv
next input
next input
max pool
input
copy 3x3 CR 5x5 CR 1x1 CR
1x1 CR
26
NEW NVIDIA TENSORRT 3
Programmable Inference Accelerator
40x Speed-up on ResNet-50 | 140x Speed-up on OpenNMT
4 25
550
0
150
300
450
600
CPU +
Torch
V100 +
Torch
V100 +
TensorRT
140 300
5,700
-
1,500
3,000
4,500
6,000
CPU + TensorFlow V100 + TensorFlow V100 + TensorRTCPU +
TensorFlow
V100 +
TensorFlow
V100 +
TensorRT
Images/Sec (ResNet-50) Sentences/Sec (OpenNMT)
27
NEW NVIDIA TENSORRT 3
Programmable Inference Accelerator
40x Speed-up on ResNet-50 | 140x Speed-up on OpenNMT | Half the Latency
0
150
300
450
600
CPU +
Torch
V100 +
Torch
V100 +
TensorRT
-
1,500
3,000
4,500
6,000
CPU + TensorFlow V100 + TensorFlow V100 + TensorRTCPU +
TensorFlow
V100 +
TensorFlow
V100 +
TensorRT
Images/Sec (ResNet-50) Sentences/Sec (OpenNMT)
14ms
7ms 7ms
280ms
153ms
117ms
28
NVIDIA TENSORRT
10X BETTER DATA
CENTER TCO
160 CPU servers
45,000 images / second
65 KWatts
29
NVIDIA TENSORRT
10X BETTER DATA
CENTER TCO
1 NVIDIA HGX with 8 Tesla V100 GPUs
45,000 images / second
3 KWatts
1/6 the Cost | 1/20 the Power
4 Racks in a Box
30
INFERENCE
ON IMAGES
31
32
INFERENCE
ON SPEECH
33
34
VINCENT AI
35
36
THE AUTONOMOUS
VEHICLE REVOLUTION
37
NVIDIA DRIVE
AV COMPUTING PLATFORM
Sensor Fusion: RADAR, LIDAR, Camera | Deep Learning, CV, Parallel Computing
Diversity of Algorithms | ASIL-D Functional Safety | Fully Integrated into NVIDIA BB8
DRIVE PX — AI CAR COMPUTER
DRIVEWORKS SDK
DRIVE AV
DRIVE OS
RADAR Fusion
LIDAR
Point-Cloud Processing
Camera Deep Learning
(Detection)
Camera Deep Learning
(Freespace)
Camera Computer Vision
(SLAM)
HD Map
(Localizing to Map)
Path Planning
38
39
— Goldman Sachs
Uber Lyft Waymo
GM / Cruise Ford / Argo.ai Baidu
Zoox nuTonomy Yandex
“RIDE-HAILING INDUSTRY EXPECTED TO
GROW EIGHTFOLD TO $285B BY 2030”
40
ROBOTAXI DEMANDS
EXTREME COMPUTING
+ 10X camera resolution
+ Surround LIDAR point-cloud processing
+ Camera & LIDAR localization to HD map
+ Tracking all surrounding objects
+ New map generation
+ Sophisticated path planning & control
+ Algorithm diversity
+ Sensor & computing fail-operate
+ Excess computing capacity
Level 2 Level 5
41
STATE-OF-THE-ART
DRIVERLESS VEHICLES
42
ANNOUNCING
“PEGASUS”
ROBOTAXI DRIVE PX
320 TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D
500W | Late Q1 Early Access Partners
Supercomputing Data Center in your Trunk
43
ANNOUNCING
“PEGASUS”
ROBOTAXI DRIVE PX
320 TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D
500W | Late Q1 Early Access Partners
Supercomputing Data Center in your Trunk
44
STATE-OF-THE-ART DRIVERLESS VEHICLES
45
ANNOUNCING
“PEGASUS”
ROBOTAXI DRIVE PX
320 TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D
500W | Late Q1 Early Access Partners
Supercomputing Data Center in your Trunk
46
ANNOUNCING
NVIDIA DRIVE IX SDK
Intelligent Experience Toolkit
Sense Inside & Outside the Vehicle | Deep Learning Powered | Early Access Q4
Your Car is an AI
Customer Application
DRIVE OS
DRIVE AV
Object, Path, Wait Perception
DRIVE IX
Gaze, Head Pose, Gestures, Recognize Face,
Voice Recognition & Lip Reading
Exterior Driver
Recognition
Automatic
Personalization
Inattentive
Driver Alert
Cyclist
Alert
Distracted
Driver Alert
Driver/Passenger
Recognition
47
NVIDIA DRIVE
AI CAR PLATFORM
From Training to Driving | From Processor to AI to AV Stack | From AV to IX
From 3D Simulation to Super-Real-Time Testing | Open Platform for Partners
SILHIL
Data Factory DRIVE AV on DPXTraining on DGX 3D-SIM on DGX RE-SIM on DGX
48
SUPER REAL-TIME
SIMULATION WITH
DGX AND NEW
TENSORRT 3
With 8 NVIDIA DGX
Re-Sim 300,000 miles in 5 hours
Virtually Drive Every Paved Road in U.S. in 2 Days
49
50
145 AV STARTUPS
ON NVIDIA DRIVE
51
THE ERA OF
AUTONOMOUS MACHINES
52
XAVIER
WORLD’S FIRST AUTONOMOUS
MACHINE PROCESSOR
Deep Learning, CV, Parallel Computing
Rich High-Speed Sensor IOs
Extreme Energy Efficiency
30 TOPS at 30W
53
PROJECT ISAAC — AI ROBOT SIMULATOR
SIMULATION TRAINING AUTONOMOUS
Project Isaac
54
55
A NEW COMPUTING ERA
NVIDIA Holodeck
Design Lab of the Future
NVIDIA
The World’s AI
Computing Platform
NVIDIA Drive
Open AV Platform for the
Transportation Industry
NVIDIA DRIVE PX
Pegasus
Robotaxi AI Computer
Project Isaac
AI Robot Simulator
56

GTC Europe 2017 Keynote

  • 1.
    Jensen Huang, Founder& CEO, GTC Europe 2017 A NEW COMPUTING ERA
  • 2.
    2 1980 1990 20002010 2020 Original data up to the year 2010 collected and plotted by M. Horowitz, F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp 103 105 107 1.5X per year 1.1X per year TWO FORCES DRIVING THE FUTURE OF COMPUTING 40 Years of CPU Trend Data Transistors (thousands) Single-threaded perf
  • 3.
    3 TWO FORCES DRIVING THEFUTURE OF COMPUTING The Big Bang of Deep Learning 1980 1990 2000 2010 2020 Original data up to the year 2010 collected and plotted by M. Horowitz, F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp 103 105 107 1.5X per year 1.1X per year 40 Years of CPU Trend Data Transistors (thousands) Single-threaded perf
  • 4.
    4 1980 1990 20002010 2020 Original data up to the year 2010 collected and plotted by M. Horowitz, F. Labonte, O. Shacham, K. Olukotun, L. Hammond, and C. Batten New plot and data collected for 2010-2015 by K. Rupp 103 105 107 1.5X per year 40 Years of CPU Trend Data Single-threaded perf RISE OF NVIDIA GPU COMPUTING NVIDIA Volta GPU | 21B xtors | 120 TFLOPS GPU-Computing perf 1.5X per year 1.1X per year
  • 5.
    5 RISE OF NVIDIAGPU COMPUTING CUDA Downloads 5X in 5 Years Global GTC Attendees 10X in 5 Years GPU Developers 15X in 5 Years 20172012 2012 1.8M645,000 201720172012 22,000
  • 6.
    6 NVIDIA GPU-ACCELERATED APPLICATIONS ScientificComputing Deep LearningComputer Graphics Data Science NVIDIA CUDA AMBER Molecular Dynamics COSMO Climate Weather ChaNGa Astrophysics Gaussian Quantum Chemistry Schlumberger WG Seismic Processing PowerGrid Medical Imaging ANSYS Fluent Computational Fluid Dynamics SIMULIA Abaqus Finite-Element Analysis K-Means Clustering Gradient Boosting Support Vector MachineGeneralized Linear Model DATABASES ANALYTICS
  • 7.
    7 NVIDIA GPU-ACCELERATED INDUSTRIES HPCINTERNET SERVICES TRANSPORTATION MEDICAL IMAGING LOGISTICS Ride Sharing Self-Driving Cars Design & Simulation Radiology Volumetric Rendering 3D CT AV Truck Route Management Warehouse Automation Photo Album Recommendations Social Media Weather Molecular Dynamics Materials Science
  • 8.
    8 NVIDIA GPU ACCELERATES 2017NOBEL PRIZES IN CHEMISTRY AND PHYSICS Cryogenic Electron Microscopy Jacques Dubochet, Joachim Frank, Richard Henderson Detection of Gravitational Waves Rainer Weiss, Barry Barish, Kip Thorne Resolution before 2013 Resolution at present
  • 9.
    9 ANNOUNCING NVIDIA HOLODECK THE DESIGNLAB OF THE FUTURE Photorealistic Models Physically Simulated Interaction Virtual Team Collaboration GPU-accelerated AI
  • 10.
    10 CREATE AND COLLABORATE INNVIDIA HOLODECK CATIA / Siemens NX Creo / Alias Maya / 3dsMAX
  • 11.
  • 12.
    12 ANNOUNCING NVIDIA HOLODECK THE DESIGNLAB OF THE FUTURE Photorealistic Models Physically Simulated Interaction Virtual Team Collaboration GPU-accelerated AI Early Access NOW nvidia.com/holodeck
  • 13.
    13 THE ERA OFAI NIPS RegistrationAI Startup Funding 12X in 5 Years Deep Learning Papers Published 13X in 3 Years 2017201420172012 $6.6B 3,000 -50 -25 0 25 1500 3000 4500 6000 2017 2016 2002
  • 14.
  • 15.
    15 SOLVING THE UNSOLVABLE NVIDIA InteractiveRay Tracing NVIDIA / Remedy Audio-driven Facial Animation
  • 16.
    16 SOLVING THE UNSOLVABLE NVIDIA InteractiveRay Tracing NVIDIA / Remedy Audio-driven Facial Animation WRNCH Pose Estimation
  • 17.
    17 SOLVING THE UNSOLVABLE NVIDIA InteractiveRay Tracing NVIDIA / Remedy Audio-driven Facial Animation WRNCH Pose Estimation University of Edinburgh Character Animation
  • 18.
    18 SOLVING THE UNSOLVABLE NVIDIA InteractiveRay Tracing NVIDIA / Remedy Audio-driven Facial Animation WRNCH Pose Estimation University of Edinburgh Character Animation UC Berkeley / OpenAI One-shot Imitation Learning
  • 19.
    19 THE WORLD’S AIPLATFORM NVIDIA AI PLATFORM IT Services Automotive Healthcare Smart City Manufacturing Drones Fin. Services Other NVIDIA Inception: 1,900 DL Startups Every Cloud and Data CenterEvery Framework
  • 20.
    20 AI INFERENCE IS THENEXT GREAT CHALLENGE Training InferencingDNN Model
  • 21.
    21 EXPLOSION OF INTELLIGENTMACHINES 20M Inference Servers Trillions of IoT Devices100s of Millions of Autonomous Machines
  • 22.
    22 EXPLOSION OF NETWORKDESIGN Recurrent Networks Generative Adversarial NetworksConvolution Networks Reinforcement Learning GRU HighwayLSTM Embedding BiDirectionalProjection ReLuPRelu Dropout PoolingConcat BatchNorm A3C Dueling DQNDQNConditional GAN Latent space GAN 3D-GAN Coupled GAN Rank GAN Speech Enhancement GAN
  • 23.
    23 2014 2015 20162017 20182013 2014 2015 2016 2017 20182011 2013 2015 2017 EXPLOSION OF NETWORK COMPLEXITY Translation Network Complexity GOPS * Bandwidth Image Network Complexity GOPS * Bandwidth Speech Network Complexity GOPS * Bandwidth 2012 2014 2016 ResNet-50 Inception-v2 Inception-v4 AlexNet GoogLeNet 350X 30X DeepSpeech 3 DeepSpeech 2 DeepSpeech 10X GNMT OpenNMT MoE
  • 24.
    24 NEW NVIDIA TENSORRT3 DRIVE PX 2 JETSON TX2 NVIDIA DLA TESLA P4 TensorRT TESLA V100 Programmable Inference Accelerator Compile and Optimize Neural Networks | Support for Every Framework Optimize for Each Target Platform
  • 25.
    25 NEW NVIDIA TENSORRT3 Programmable Inference Accelerator Weight & Activation Precision Calibration | Layer & Tensor Fusion Kernel Auto-Tuning | Multi-Stream Execution concat batch nm batch nm batch nm batch nm max pool input relu relu relu relu 1x1 conv 3x3 conv 5x5 conv 1x1 conv relu batch nm 1x1 conv relu batch nm 1x1 conv next input next input max pool input copy 3x3 CR 5x5 CR 1x1 CR 1x1 CR
  • 26.
    26 NEW NVIDIA TENSORRT3 Programmable Inference Accelerator 40x Speed-up on ResNet-50 | 140x Speed-up on OpenNMT 4 25 550 0 150 300 450 600 CPU + Torch V100 + Torch V100 + TensorRT 140 300 5,700 - 1,500 3,000 4,500 6,000 CPU + TensorFlow V100 + TensorFlow V100 + TensorRTCPU + TensorFlow V100 + TensorFlow V100 + TensorRT Images/Sec (ResNet-50) Sentences/Sec (OpenNMT)
  • 27.
    27 NEW NVIDIA TENSORRT3 Programmable Inference Accelerator 40x Speed-up on ResNet-50 | 140x Speed-up on OpenNMT | Half the Latency 0 150 300 450 600 CPU + Torch V100 + Torch V100 + TensorRT - 1,500 3,000 4,500 6,000 CPU + TensorFlow V100 + TensorFlow V100 + TensorRTCPU + TensorFlow V100 + TensorFlow V100 + TensorRT Images/Sec (ResNet-50) Sentences/Sec (OpenNMT) 14ms 7ms 7ms 280ms 153ms 117ms
  • 28.
    28 NVIDIA TENSORRT 10X BETTERDATA CENTER TCO 160 CPU servers 45,000 images / second 65 KWatts
  • 29.
    29 NVIDIA TENSORRT 10X BETTERDATA CENTER TCO 1 NVIDIA HGX with 8 Tesla V100 GPUs 45,000 images / second 3 KWatts 1/6 the Cost | 1/20 the Power 4 Racks in a Box
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
    37 NVIDIA DRIVE AV COMPUTINGPLATFORM Sensor Fusion: RADAR, LIDAR, Camera | Deep Learning, CV, Parallel Computing Diversity of Algorithms | ASIL-D Functional Safety | Fully Integrated into NVIDIA BB8 DRIVE PX — AI CAR COMPUTER DRIVEWORKS SDK DRIVE AV DRIVE OS RADAR Fusion LIDAR Point-Cloud Processing Camera Deep Learning (Detection) Camera Deep Learning (Freespace) Camera Computer Vision (SLAM) HD Map (Localizing to Map) Path Planning
  • 38.
  • 39.
    39 — Goldman Sachs UberLyft Waymo GM / Cruise Ford / Argo.ai Baidu Zoox nuTonomy Yandex “RIDE-HAILING INDUSTRY EXPECTED TO GROW EIGHTFOLD TO $285B BY 2030”
  • 40.
    40 ROBOTAXI DEMANDS EXTREME COMPUTING +10X camera resolution + Surround LIDAR point-cloud processing + Camera & LIDAR localization to HD map + Tracking all surrounding objects + New map generation + Sophisticated path planning & control + Algorithm diversity + Sensor & computing fail-operate + Excess computing capacity Level 2 Level 5
  • 41.
  • 42.
    42 ANNOUNCING “PEGASUS” ROBOTAXI DRIVE PX 320TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D 500W | Late Q1 Early Access Partners Supercomputing Data Center in your Trunk
  • 43.
    43 ANNOUNCING “PEGASUS” ROBOTAXI DRIVE PX 320TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D 500W | Late Q1 Early Access Partners Supercomputing Data Center in your Trunk
  • 44.
  • 45.
    45 ANNOUNCING “PEGASUS” ROBOTAXI DRIVE PX 320TOPS CUDA TensorCore | 16x GMSL | 4x 10G | 8x 1G | 16x 100M | Auto-grade | ASIL D 500W | Late Q1 Early Access Partners Supercomputing Data Center in your Trunk
  • 46.
    46 ANNOUNCING NVIDIA DRIVE IXSDK Intelligent Experience Toolkit Sense Inside & Outside the Vehicle | Deep Learning Powered | Early Access Q4 Your Car is an AI Customer Application DRIVE OS DRIVE AV Object, Path, Wait Perception DRIVE IX Gaze, Head Pose, Gestures, Recognize Face, Voice Recognition & Lip Reading Exterior Driver Recognition Automatic Personalization Inattentive Driver Alert Cyclist Alert Distracted Driver Alert Driver/Passenger Recognition
  • 47.
    47 NVIDIA DRIVE AI CARPLATFORM From Training to Driving | From Processor to AI to AV Stack | From AV to IX From 3D Simulation to Super-Real-Time Testing | Open Platform for Partners SILHIL Data Factory DRIVE AV on DPXTraining on DGX 3D-SIM on DGX RE-SIM on DGX
  • 48.
    48 SUPER REAL-TIME SIMULATION WITH DGXAND NEW TENSORRT 3 With 8 NVIDIA DGX Re-Sim 300,000 miles in 5 hours Virtually Drive Every Paved Road in U.S. in 2 Days
  • 49.
  • 50.
  • 51.
  • 52.
    52 XAVIER WORLD’S FIRST AUTONOMOUS MACHINEPROCESSOR Deep Learning, CV, Parallel Computing Rich High-Speed Sensor IOs Extreme Energy Efficiency 30 TOPS at 30W
  • 53.
    53 PROJECT ISAAC —AI ROBOT SIMULATOR SIMULATION TRAINING AUTONOMOUS Project Isaac
  • 54.
  • 55.
    55 A NEW COMPUTINGERA NVIDIA Holodeck Design Lab of the Future NVIDIA The World’s AI Computing Platform NVIDIA Drive Open AV Platform for the Transportation Industry NVIDIA DRIVE PX Pegasus Robotaxi AI Computer Project Isaac AI Robot Simulator
  • 56.