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JEN-HSUN HUANG, CO-FOUNDER & CEO, GTC 2016
A NEW COMPUTING MODEL
2
Academia Games
Finance Manufacturing
Internet Oil & Gas
National Labs Automotive
Defense M & E
2X Accelerated Systems,
96% of New Systems on NVIDIA
2X GTC Attendees 4X CUDA Developers,
10X in Hyperscale + Auto
Auto Internet
Gov't / Labs Academia
M&E Finance
Aerospace / Defense Manufacturing
Oil & Gas IT / HW / SW
Medical
LEAPS IN ADOPTION
2012 2016
4x
300K
0
20
40
60
80
100
120
Nov 2013 Nov 2014 Nov 2015
#acceleratedsystems
5,500
2,350
2012 2016
3
NVIDIA SDK
The Essential Resource for GPU Computing
developer.nvidia.com | Available Now
4
NVIDIA GAMEWORKS
Volumetric Lighting | Voxel Accelerated Ambient Occlusion | Hybrid Frustum Traced Shadows
Available Now
COMPUTEWORKS
HairWorks WaveWorks FlameWorks
and other technologies such as:
Clothing, VXGI, Flex, Destruction
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
PhysX
5
NVIDIA DESIGNWORKS
Adobe support of MDL | Siemens NX adopts Iray
COMPUTEWORKS
MDL OptiX Path Rendering
and other technologies such as:
GL Extensions, GRID, GPU Direct for Video, Mosaic, VXGI, Warp and Blend
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
Iray
6
NVIDIA VRWORKS
Oculus Rift and HTC Vive integration | Epic, Max Play and Unity game engines
Available Now
COMPUTEWORKS
VR SLI Context Priority Warp and Blend
and other technologies such as:
Direct Mode, GPUDirect for Video
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
Multi-Res Shading
7
NVIDIA COMPUTEWORKS
CUDA 8 — Available June | cuDNN 5 — Available April | nvGRAPH — Available June
IndeX plug-in for ParaView — Available May
COMPUTEWORKS
cuDNN
and other technologies such as:
AMGx, cuSOLVER, cuSPARSE, OpenACC, NSIGHT, THRUST
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
CUDA nvGRAPH IndeX
8
NVIDIA DRIVEWORKS
JPL — Available Now | EAP — Available Q2’16
General Release — Available Q1’17
COMPUTEWORKS
Detection Localization HD Maps
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
SensorFusion
and other technologies such as:
Driving, Planning
9
NVIDIA JETPACK
Jetson TX1: 24 images/s/W | GIE - GPU Inference Engine — Available May
COMPUTEWORKS
DIGITS Workflow VisionWorks Jetson Media SDK
and other technologies such as:
Linux4Tegra, NSIGHT EE, OpenCV4Tegra, OpenGL, System Trace, Visual Profiler, Vulkan
GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK
Deep Learning SDK
10
VR: A START OF A NEW PLATFORM
New York Times ships
Cardboard to subscribers
Microsoft demonstrates
Holoportation
Google announces Jump
VR camera platform
Samsung, Oculus, HTC
release headsets
VR Startups Raise
$1.5B in funding
11
EVEREST VR
12
MARS 2030
13
IRAY VR
Breakthrough Photoreal VR — Available Starting in June
Rasterize depth buffer at headset
eye positions
Reconstruct image for new viewpoint
from depth and multiple probes
Pre-render light probes surrounding
region of interest
14
IRAY VR
15
IRAY VR LITE
Available in June
2. Download Iray
for 3ds Max Plug-in
1. Design in 3ds Max 3. Download
Android Viewer
4. Get VR HMD
16
AN AMAZING YEAR IN AI
AlphaGo
Rivals a World Champion
Microsoft & Google
“Superhuman” Image
Recognition
Microsoft
“Super Deep Network”
Berkeley’s Brett
One network,
everything robotics
Deep Speech 2
One network, 2 languages
A New Computing Model
Hits Pop Culture
17
A NEW COMPUTING MODEL
Deep Learning Object Detection
DNN + Data + HPC
Traditional Computer Vision
Experts + Time
Deep Learning Achieves
“Superhuman” Results
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2009 2010 2011 2012 2013 2014 2015 2016
Traditional CV
Deep Learning
ImageNet
18
19
Ad Service
Technology
Investment
Media
Oil & Gas
Mfg
Retail
Other
$500B OPPORTUNITY OVER 10 YRS
Deep Learning Software Revenue
by Industry
Deep Learning Total Revenue
by Segment
IBM: “Cognitive business represents
a $2T opportunity”
SOURCE: “Deep Learning for Enterprise Applications,” 4Q 2015, Tractica
20
NVIDIA GPU FOR HYPERSCALE
10X Speed up | 20 images/s/W Cloud Services Powered by AI
TESLA M40 + TESLA M4
21
Soumith Chintala
AI Research Engineer, Facebook
“ Unsupervised Representation
Learning with Deep
Convolutional Generative
Adversarial Networks.”
— Soumith Chintala, Facebook AI Research
Alec Radford & Luke Metz indico Research
22
UNSUPERVISED LEARNING
23
150B XTORS | 5.3TF FP64 | 10.6TF FP32 | 21.2TF FP16 | 14MB SM RF | 4MB L2 Cache
TESLA P100
THE MOST ADVANCED
HYPERSCALE DATACENTER GPU EVER BUILT
24
“FIVE MIRACLES”
16nm FinFETPascal Architecture CoWoS with HBM2 New AI AlgorithmsNVLink
25
GIANT LEAPS IN EVERYTHING
3x GPU Mem BW3x Compute 5x GPU-GPU BW
Teraflops(FP32/FP16)
5
10
15
20
K40
P100
(FP32)
P100
(FP16)
M40
K40
Bandwidth(GB/Sec)
40
80
120
160 P100
M40
K40
Bandwidth
1x
2x
3x
P100
M40
26
“ This is a new era of computing. New
approaches to the underlying technologies
will be required for AI and cognitive. The
combination of NVIDIA Pascal GPUs and IBM
POWER accelerates Watson’s learning of new
skills. Together, IBM and NVIDIA will advance
the artificial intelligence industry.”
Dr. John Kelly III, SVP,
Cognitive Solutions & IBM Research
“ NVIDIA GPU is accelerating progress in AI.
As neural nets become larger and larger,
we not only need faster GPUs with larger
and faster memory, but also much faster
GPU-to-GPU communication, as well as
hardware that can take advantage of
reduced-precision arithmetic. This is
precisely what Pascal delivers.”
Yann LeCun, Director of AI Research, Facebook
“ Microsoft is developing super deep neural
networks that are more than 1000 layers. NVIDIA
Tesla P100’s impressive horsepower will enable
Microsoft’s CNTK to accelerate AI breakthroughs.”
Xuedong Huang, Chief Speech Scientist,
Microsoft Research
“ AI computers are like space rockets: The bigger
the better. Pascal’s throughput and interconnect
will make the biggest rocket we’ve seen yet.”
Andrew Ng, Chief Scientist, Baidu
27
TESLA P100 SERVERS
Coming in Q1‘17
28
GPU-ACCELERATED DL FOR EVERY MARKET
IBM: “Cognitive business represents
a $2T opportunity”
Deep Learning
in the Cloud
Deep Learning
for Enterprise
Ad Service
Technology
Investment
Media
Oil & Gas
Mfg
Retail
Other
SOURCE: “Deep Learning for Enterprise Applications,” 4Q 2015, Tractica
29
Engineered for deep learning | 170TF FP16 | 8x Tesla P100
NVLink hybrid cube mesh | Accelerates major AI frameworks
NVIDIA DGX-1
WORLD’S FIRST DEEP LEARNING SUPERCOMPUTER
30
31
“250 SERVERS IN-A-BOX”
DUAL XEON DGX-1
FLOPS (CPU + GPU) 3 TF 170 TF
AGGREGATE NODE BW 76 GB/s 768 GB/s
ALEXNET TRAIN TIME 150 HOURS 2 HOURS
TRAIN IN 2 HOURS >250 NODES* 1 NODE
*Caffe Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family (extrapolated)
Gennady Fedorov (Intel)'s picture Submitted by Gennady Fedorov (Intel), Vadim P. (Intel) on October 29, 2015
https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5
32
12X SPEED-UP IN ONE YEAR
1.33 billion images/day
25 Hours
2 Hours
GTC 2015
4 Maxwell GPUS
GTC 2016
8 Pascal GPUS
33
Bryan Catanzaro
Senior Researcher, Baidu
Time series input
“Time series output”
GPU0
GPU1
Model
Parallel
Data
Parallel
Recurrent Neural Nets Model + Data Parallelism
34
Add Model Parallelism over NVLINK Compose with Data Parallelism
Persistent RNNs:
Peak FLOPs at batch of 8
weights
keep in
registers
repeat ~300 times repeat ~300 times
GPU0
GPU1
GPU2
GPU3
Data
Parallel
Strong scale to 32X more processors
35
Rajat Monga
TensorFlow Technical Lead & Manager, Google
36
170TF | “250 servers in-a-box” | nvidia.com/dgx1
$129,000
NVIDIA DGX-1
WORLD’S FIRST DEEP LEARNING SUPERCOMPUTER
37
PIONEERS IN AI RESEARCH
Frameworks for Multi-GPU Pascal
Large-scale Deep Learning
Reinforcement Learning
Unsupervised and Transfer Learning
Natural Language Understanding
Autonomous Driving
Medical Applications
38
DEEP LEARNING FOR MEDICINE
NVIDIA Founding Technology Partner of MGH Center of Clinical Data Science
10B Medical images on DGX-1 to advance radiology, pathology, genomics
39
TESLA FAMILY
Multi-App HPCHyperscale HPC Strong-Scale HPC Researchers / Early Adopters
M40 + M4 K80
40
Uber Enters the Race
Toyota Invests $1B
in AI Lab
Volvo Drive Me on
Public Roads in 2017
NHTSA: Computer
Counts as Driver
Tesla Model 3:
300K pre-orders
AN AMAZING YEAR FOR SELF-DRIVING CARS
Audi, BMW, Daimler
Buy HERE
Tesla Model S Auto-pilot
Baidu Enters the Race
Honda, Nissan, Toyota
Team Up
GM Buys Cruise
41
SELF-DRIVING LOOPS
LOCALIZEMAP SEE DRIVE
42
World’s first DL-powered car
computing platform
One scalable architecture — from DNN
training to cluster, infotainment, ADAS,
autonomous driving, and mapping
Open platform
NVIDIA DRIVE PX
AI CAR COMPUTER
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
43
NVIDIA DRIVE PX
PERCEPTION
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
NVIDIA DRIVENET
#1 accuracy score for KITTI car detection
44
NVIDIA DRIVE PX
PERCEPTION
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
45
NEW END-TO-END
HD MAPPING
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
46
BAIDU SELF-DRIVING CAR COMPUTER
47
NEW END-TO-END
HD MAPPING
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
48
PLATFORM FOR MAPPING THE WORLD
49
NEW AI DRIVING
Training on
DGX-1
Driving with
DriveWorks
KALDI
LOCALIZATION
MAPPING
DRIVENET
DAVENET
NVIDIA DGX-1 NVIDIA DRIVE PX
50
WORLD’S FIRST AUTONOMOUS RACE CAR
Designed by Daniel Simon | 2,200 lbs | Blazing fast
51
WORLD’S FIRST AUTONOMOUS CAR RACE
10 teams, 20 identical cars | DRIVE PX 2: The “brain” of every car | 2016/17 Formula E season
GTC 2016 Opening Keynote

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GTC 2016 Opening Keynote

  • 1. JEN-HSUN HUANG, CO-FOUNDER & CEO, GTC 2016 A NEW COMPUTING MODEL
  • 2. 2 Academia Games Finance Manufacturing Internet Oil & Gas National Labs Automotive Defense M & E 2X Accelerated Systems, 96% of New Systems on NVIDIA 2X GTC Attendees 4X CUDA Developers, 10X in Hyperscale + Auto Auto Internet Gov't / Labs Academia M&E Finance Aerospace / Defense Manufacturing Oil & Gas IT / HW / SW Medical LEAPS IN ADOPTION 2012 2016 4x 300K 0 20 40 60 80 100 120 Nov 2013 Nov 2014 Nov 2015 #acceleratedsystems 5,500 2,350 2012 2016
  • 3. 3 NVIDIA SDK The Essential Resource for GPU Computing developer.nvidia.com | Available Now
  • 4. 4 NVIDIA GAMEWORKS Volumetric Lighting | Voxel Accelerated Ambient Occlusion | Hybrid Frustum Traced Shadows Available Now COMPUTEWORKS HairWorks WaveWorks FlameWorks and other technologies such as: Clothing, VXGI, Flex, Destruction GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK PhysX
  • 5. 5 NVIDIA DESIGNWORKS Adobe support of MDL | Siemens NX adopts Iray COMPUTEWORKS MDL OptiX Path Rendering and other technologies such as: GL Extensions, GRID, GPU Direct for Video, Mosaic, VXGI, Warp and Blend GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK Iray
  • 6. 6 NVIDIA VRWORKS Oculus Rift and HTC Vive integration | Epic, Max Play and Unity game engines Available Now COMPUTEWORKS VR SLI Context Priority Warp and Blend and other technologies such as: Direct Mode, GPUDirect for Video GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK Multi-Res Shading
  • 7. 7 NVIDIA COMPUTEWORKS CUDA 8 — Available June | cuDNN 5 — Available April | nvGRAPH — Available June IndeX plug-in for ParaView — Available May COMPUTEWORKS cuDNN and other technologies such as: AMGx, cuSOLVER, cuSPARSE, OpenACC, NSIGHT, THRUST GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK CUDA nvGRAPH IndeX
  • 8. 8 NVIDIA DRIVEWORKS JPL — Available Now | EAP — Available Q2’16 General Release — Available Q1’17 COMPUTEWORKS Detection Localization HD Maps GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK SensorFusion and other technologies such as: Driving, Planning
  • 9. 9 NVIDIA JETPACK Jetson TX1: 24 images/s/W | GIE - GPU Inference Engine — Available May COMPUTEWORKS DIGITS Workflow VisionWorks Jetson Media SDK and other technologies such as: Linux4Tegra, NSIGHT EE, OpenCV4Tegra, OpenGL, System Trace, Visual Profiler, Vulkan GAMEWORKS VRWORKS DESIGNWORKS DRIVEWORKS JETPACK Deep Learning SDK
  • 10. 10 VR: A START OF A NEW PLATFORM New York Times ships Cardboard to subscribers Microsoft demonstrates Holoportation Google announces Jump VR camera platform Samsung, Oculus, HTC release headsets VR Startups Raise $1.5B in funding
  • 13. 13 IRAY VR Breakthrough Photoreal VR — Available Starting in June Rasterize depth buffer at headset eye positions Reconstruct image for new viewpoint from depth and multiple probes Pre-render light probes surrounding region of interest
  • 15. 15 IRAY VR LITE Available in June 2. Download Iray for 3ds Max Plug-in 1. Design in 3ds Max 3. Download Android Viewer 4. Get VR HMD
  • 16. 16 AN AMAZING YEAR IN AI AlphaGo Rivals a World Champion Microsoft & Google “Superhuman” Image Recognition Microsoft “Super Deep Network” Berkeley’s Brett One network, everything robotics Deep Speech 2 One network, 2 languages A New Computing Model Hits Pop Culture
  • 17. 17 A NEW COMPUTING MODEL Deep Learning Object Detection DNN + Data + HPC Traditional Computer Vision Experts + Time Deep Learning Achieves “Superhuman” Results 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2009 2010 2011 2012 2013 2014 2015 2016 Traditional CV Deep Learning ImageNet
  • 18. 18
  • 19. 19 Ad Service Technology Investment Media Oil & Gas Mfg Retail Other $500B OPPORTUNITY OVER 10 YRS Deep Learning Software Revenue by Industry Deep Learning Total Revenue by Segment IBM: “Cognitive business represents a $2T opportunity” SOURCE: “Deep Learning for Enterprise Applications,” 4Q 2015, Tractica
  • 20. 20 NVIDIA GPU FOR HYPERSCALE 10X Speed up | 20 images/s/W Cloud Services Powered by AI TESLA M40 + TESLA M4
  • 21. 21 Soumith Chintala AI Research Engineer, Facebook “ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.” — Soumith Chintala, Facebook AI Research Alec Radford & Luke Metz indico Research
  • 23. 23 150B XTORS | 5.3TF FP64 | 10.6TF FP32 | 21.2TF FP16 | 14MB SM RF | 4MB L2 Cache TESLA P100 THE MOST ADVANCED HYPERSCALE DATACENTER GPU EVER BUILT
  • 24. 24 “FIVE MIRACLES” 16nm FinFETPascal Architecture CoWoS with HBM2 New AI AlgorithmsNVLink
  • 25. 25 GIANT LEAPS IN EVERYTHING 3x GPU Mem BW3x Compute 5x GPU-GPU BW Teraflops(FP32/FP16) 5 10 15 20 K40 P100 (FP32) P100 (FP16) M40 K40 Bandwidth(GB/Sec) 40 80 120 160 P100 M40 K40 Bandwidth 1x 2x 3x P100 M40
  • 26. 26 “ This is a new era of computing. New approaches to the underlying technologies will be required for AI and cognitive. The combination of NVIDIA Pascal GPUs and IBM POWER accelerates Watson’s learning of new skills. Together, IBM and NVIDIA will advance the artificial intelligence industry.” Dr. John Kelly III, SVP, Cognitive Solutions & IBM Research “ NVIDIA GPU is accelerating progress in AI. As neural nets become larger and larger, we not only need faster GPUs with larger and faster memory, but also much faster GPU-to-GPU communication, as well as hardware that can take advantage of reduced-precision arithmetic. This is precisely what Pascal delivers.” Yann LeCun, Director of AI Research, Facebook “ Microsoft is developing super deep neural networks that are more than 1000 layers. NVIDIA Tesla P100’s impressive horsepower will enable Microsoft’s CNTK to accelerate AI breakthroughs.” Xuedong Huang, Chief Speech Scientist, Microsoft Research “ AI computers are like space rockets: The bigger the better. Pascal’s throughput and interconnect will make the biggest rocket we’ve seen yet.” Andrew Ng, Chief Scientist, Baidu
  • 28. 28 GPU-ACCELERATED DL FOR EVERY MARKET IBM: “Cognitive business represents a $2T opportunity” Deep Learning in the Cloud Deep Learning for Enterprise Ad Service Technology Investment Media Oil & Gas Mfg Retail Other SOURCE: “Deep Learning for Enterprise Applications,” 4Q 2015, Tractica
  • 29. 29 Engineered for deep learning | 170TF FP16 | 8x Tesla P100 NVLink hybrid cube mesh | Accelerates major AI frameworks NVIDIA DGX-1 WORLD’S FIRST DEEP LEARNING SUPERCOMPUTER
  • 30. 30
  • 31. 31 “250 SERVERS IN-A-BOX” DUAL XEON DGX-1 FLOPS (CPU + GPU) 3 TF 170 TF AGGREGATE NODE BW 76 GB/s 768 GB/s ALEXNET TRAIN TIME 150 HOURS 2 HOURS TRAIN IN 2 HOURS >250 NODES* 1 NODE *Caffe Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family (extrapolated) Gennady Fedorov (Intel)'s picture Submitted by Gennady Fedorov (Intel), Vadim P. (Intel) on October 29, 2015 https://software.intel.com/en-us/articles/caffe-training-on-multi-node-distributed-memory-systems-based-on-intel-xeon-processor-e5
  • 32. 32 12X SPEED-UP IN ONE YEAR 1.33 billion images/day 25 Hours 2 Hours GTC 2015 4 Maxwell GPUS GTC 2016 8 Pascal GPUS
  • 33. 33 Bryan Catanzaro Senior Researcher, Baidu Time series input “Time series output” GPU0 GPU1 Model Parallel Data Parallel Recurrent Neural Nets Model + Data Parallelism
  • 34. 34 Add Model Parallelism over NVLINK Compose with Data Parallelism Persistent RNNs: Peak FLOPs at batch of 8 weights keep in registers repeat ~300 times repeat ~300 times GPU0 GPU1 GPU2 GPU3 Data Parallel Strong scale to 32X more processors
  • 35. 35 Rajat Monga TensorFlow Technical Lead & Manager, Google
  • 36. 36 170TF | “250 servers in-a-box” | nvidia.com/dgx1 $129,000 NVIDIA DGX-1 WORLD’S FIRST DEEP LEARNING SUPERCOMPUTER
  • 37. 37 PIONEERS IN AI RESEARCH Frameworks for Multi-GPU Pascal Large-scale Deep Learning Reinforcement Learning Unsupervised and Transfer Learning Natural Language Understanding Autonomous Driving Medical Applications
  • 38. 38 DEEP LEARNING FOR MEDICINE NVIDIA Founding Technology Partner of MGH Center of Clinical Data Science 10B Medical images on DGX-1 to advance radiology, pathology, genomics
  • 39. 39 TESLA FAMILY Multi-App HPCHyperscale HPC Strong-Scale HPC Researchers / Early Adopters M40 + M4 K80
  • 40. 40 Uber Enters the Race Toyota Invests $1B in AI Lab Volvo Drive Me on Public Roads in 2017 NHTSA: Computer Counts as Driver Tesla Model 3: 300K pre-orders AN AMAZING YEAR FOR SELF-DRIVING CARS Audi, BMW, Daimler Buy HERE Tesla Model S Auto-pilot Baidu Enters the Race Honda, Nissan, Toyota Team Up GM Buys Cruise
  • 42. 42 World’s first DL-powered car computing platform One scalable architecture — from DNN training to cluster, infotainment, ADAS, autonomous driving, and mapping Open platform NVIDIA DRIVE PX AI CAR COMPUTER Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX
  • 43. 43 NVIDIA DRIVE PX PERCEPTION Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX NVIDIA DRIVENET #1 accuracy score for KITTI car detection
  • 44. 44 NVIDIA DRIVE PX PERCEPTION Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX
  • 45. 45 NEW END-TO-END HD MAPPING Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX
  • 47. 47 NEW END-TO-END HD MAPPING Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX
  • 49. 49 NEW AI DRIVING Training on DGX-1 Driving with DriveWorks KALDI LOCALIZATION MAPPING DRIVENET DAVENET NVIDIA DGX-1 NVIDIA DRIVE PX
  • 50. 50 WORLD’S FIRST AUTONOMOUS RACE CAR Designed by Daniel Simon | 2,200 lbs | Blazing fast
  • 51. 51 WORLD’S FIRST AUTONOMOUS CAR RACE 10 teams, 20 identical cars | DRIVE PX 2: The “brain” of every car | 2016/17 Formula E season