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NVIDIA ACCELERATED COMPUTING GROWTH
0
100
CRYOSPARC
Cryo
GROMACS
Chemistry
MICROVOLUTION
Microscopy
WRF
Weather
600+ CUDA APPS
FUN3D
CFD
PARABRICKS
Genomics
#1 World, US — ORNL Summit
#1 Europe — CSCS Piz Daint
#1 Japan — AIST ABCI
22 of Top 25 Energy-Efficient
50% GROWTH IN TOP50050% GROWTH OF NVIDIA DEVELOPERS
2018 2019
1.2M
DEVELOPERS
+50%800K
2018 2019
13M
CUDA
DOWNLOADS
+60%
8M
2018 2019
25X
40X
AMBER
CHROMA
LAMMPS
MILC
NAMD
Quantum Espresso
SF3D
MORE PERF
2010 2012 2014 2016 2018
3
NVIDIA CUDA-X
GPU-ACCELERATED COMPUTING LIBRARIES
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
4
NVIDIA CUDA-X
GPU-ACCELERATED COMPUTING LIBRARIES
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
Programmable SD, TTS, GID
Acceleration TTA, SOP, COI
Domains COD, COI
Architecture GIA, GID, COI
5
NVIDIA CUDA-X
GPU-ACCELERATED COMPUTING LIBRARIES
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
PRogrammable SD, TTS, GID
Acceleration TTA, SOP, COI
Domains COD, COI
Architecture GIA, GID, COI
6
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
CHAPTER 1: GRAPHICS
7
8
9
10
11
NVIDIA TURING RTX
18 BILLION TRANSISTORS
32 TOPS SHADER
130 TFLOPS TENSOR CORE
12
13
14
BROAD SUPPORT FOR NVIDIA RTX
RTX comes to 9M 3D creators in 2019
3 MILLION
Designers
3 MILLION
3D Artists
1 MILLION
Architects
2 MILLION
M&E Pros
15
16
CPU - Dual Skylake 25 38 Hours $70k $250k
RTX Server - 4x RTX 8000 1 6 Hours $10k $30k
# of Nodes Total Render Time Cost of Power (5 yrs) Total Cost
“ Pixar artists already rely on NVIDIA ray tracing, and RTX more than doubles the performance
they will see. We’re excited to use RTX on our upcoming films.” – STEVE MAY, CTO, Pixar
RenderMan XPU R&D test on assets from Incredibles 2 © Disney/Pixar
17
COMPLEX RENDERING PIPELINE
CONCEPT | MODELING | TEXTURE | RIGGING | ANIMATION | LIGHTING | RENDER
18
GLOBAL STUDIO COLLABORATION
19
ANNOUNCING NVIDIA OMNIVERSE
Open Collaboration Platform to Simplify Studio Workflows for Real-time Graphics
20
21
ANNOUNCING NVIDIA OMNIVERSE
Early Access at developer.nvidia.com/nvidia-omniverse
22
GeForce NOW
500+ Games
15 Datacenters
300K Players
1M on Waiting List
23
GeForce NOW
500+ Games
15 Datacenters
300K Players
1M on Waiting List
Announcing
GFN Alliance
24
ANNOUNCING RTX SERVER
Datacenter Graphics Server Design
40 Turing GPUs in 8U | Virtualize graphics apps up to 320 CCU
Optimized end-to-end stack for rendering, remote workstation, and cloud gaming
25
ANNOUNCING RTX SERVER POD
Modular Designs for Enterprise & Cloud Edge Datacenters
Pods scale to 32 RTX servers | 1,280 GPUs in 10 racks
High-speed storage connected with MLNX IB | Up to 10,000 concurrent users per RTX Pod
26
NVIDIA RTX SERVER
GEFORCE NOWOMNIVERSERENDERING
27
28
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
CHAPTER 2: AI & HPC
29
DATA SCIENCE –
A NEW PILLAR OF DISCOVERY
PREDICTIVE
MODELFEATURES
PREDICTIONDATA
ML
DL
CVNLU
AI
DATA
ANALYTICS INFERENCE
30
DATA SCIENCE –
A NEW PILLAR OF DISCOVERY
PREDICTIVE
MODELFEATURES
PREDICTIONDATA
ETL, Pandas,
Spark, Graph
TensorFlow, PyTorch
MXNet, Scikit-Learn, XGBoost
TensorFlow Serving
ONNX, SageMaker NEO
CSV, PARQ, HDFS
ML
DL
CVNLU
AI
DATA
ANALYTICS INFERENCE
31
DATA SCIENCE –
A NEW PILLAR OF DISCOVERY
PREDICTIVE
MODELFEATURES
PREDICTIONDATA
cuIO
cuDF
cuGraph
cuDNN
cuML
TensorRT
TRTIS
ML
DL
CVNLU
AI
DATA
ANALYTICS INFERENCE
32
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Azure Machine Learning
33
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Azure Machine Learning
Announcing Tensor Core Mixed-Precision
Automatically Supported in TensorFlow, PyTorch, MXNet
34
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Azure Machine Learning
Announcing RAPIDS Now Integrated
with Databricks Unified Analytics Platform
35
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Azure Machine Learning
Announcing RAPIDS with
GCP VM Images and Kubeflow
Google
Cloud ML
36
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Announcing RAPIDS Integrated
into Azure Machine Learning Service
37
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Azure Machine Learning
“ We are excited to announce that we are partnering with NVIDIA to bring RAPIDS to
Accenture’s new Applied Intelligence Platform enabling our joint venture with Kansai
Electric Power, K4Digital, to transform business process and create new opportunities.”
– MIKE SUTCLIFF, Group Chief Executive, Accenture Digital
38
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Google
Cloud ML
Azure Machine Learning
Announcing NVIDIA TensorRT
Integrated into Microsoft ONNX Runtime
39
CLOUD ML SERVICES
NVIDIA CUDA-X AI ECOSYSTEM
FRAMEWORKS DEPLOYMENT
Workstation CloudServer
DA GRAPH DL TRAINML DL INFERENCE
Serving
Amazon
SageMaker Neo
CUDA-X AI
CUDA
Amazon
SageMaker
Azure Machine Learning
Google
Cloud ML
40
AI CONVERSATIONAL SEARCH
20-30 containers end-to-end | RNN, CNN, MLP in INT8, FP16, FP32 | Latency <300ms
Text to Speech
Speech Recognition
Object DetectionJPEG Decode Resize
Denoising
Voice Encoder
Language Model
AUDIO
AUDIO
VISUAL
VISUAL
Social
News
Visual Search
Web
Question and Answer
Page Layout
Entity Recognition
Query Annotation
Query Search
Auto Correct
Recommendation
Ambient, task and accent
What are different types of
lighting for a living room?
41
https://bing.app.link/gtc
42
ANNOUNCING WORLD’S
LEADING TECH COMPANIES
Voice Search | Image Search
Recommendations | Home Assistant
News Feed | Translation | eCommerce
Adopt CUDA-X AI to Accelerate Model Deployment
6X TensorRT Downloads
2017 2018
300K
50K
43
TRANSFER
LEARNING
ANNOUNCING CLARA AI TOOLKIT
Build, Manage And Deploy AI Applications For Radiology
AI-Assisted Annotation – Hours to Minutes | 10x Less Training Data Needed | 13 Pre-Trained Models
Reference Training and Deployment Pipelines | Available at developer.nvidia.com/clara
AI
DEPLOYMENT
PRE-TRAINED
MODELS
AI-ASSISTED
ANNOTATION
44
CLARA AI – BUILT FOR RADIOLOGY
MGH
3D Annotation from
Hours to Minutes
OSU
Clinical Model Deployment
in Less Than 24 hours
DKFZ
Clara AI Annotation Integrated
in MITK Open Source Viewer
NIH
Trained State-of-the-Art Model
in Weeks
45
DATA SCIENCE IS THE NEW HPC CHALLENGE
ML
DL
CVNLU
AI
DATA
ANALYTICS
PREDICTIVE
MODELFEATURES
INFERENCE PREDICTIONDATA
46
25 million customers
in 40+ states in US
500K access points
1TB | day
47
48
A WORKSTATION FOR DATA SCIENTISTS
Powered by NVIDIA GPU and CUDA-X AI
Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science —
RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster
49
ANNOUNCING WORLD’S TOP COMPUTER MAKERS
OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE
Powered by NVIDIA GPU and CUDA-X AI
Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science —
RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster
Acceleration of FSI Data Science Workflow
2x RTX8000 1x RTX8000 CPU
50
ANNOUNCING WORLD’S TOP COMPUTER MAKERS
OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE
Powered by NVIDIA GPU and CUDA-X AI
Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science —
RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster
51
SUPER COMPUTER VS. HYPERSCALE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
52
SUPER COMPUTER VS. HYPERSCALE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
53
SUPER COMPUTER VS. HYPERSCALE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
54
DATA SCIENCE – THE NEW HPC CHALLENGE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
DATA SCIENCE
55
DATA SCIENCE – THE NEW HPC CHALLENGE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
DATA SCIENCE
NVIDIA DGX-2
AI Supercomputer Appliance
16x V100 | 2 PF | 512GB HBM2
8x MLNX IB
56
DATA SCIENCE – THE NEW HPC CHALLENGE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
DATA SCIENCE
NVIDIA DGX-2
AI Supercomputer Appliance
16x V100 | 2 PF | 512GB HBM2
8x MLNX IB
57
DATA SCIENCE – THE NEW HPC CHALLENGE
COMPUTEREQUIREMENT
1T PF
1B PF
1M PF
1K PF
1PF
1TF
1K 1M 1B
#CCU
SUPERCOMPUTER
HYPERSCALE
DATA SCIENCE
NVIDIA DGX-2
AI Supercomputer Appliance
16x V100 | 2 PF | 512GB HBM2
8x MLNX IB
Data Science Server
4x T4 | 260 TF FP16 | 64GB GDDR6
MLNX or BRCM EN
58
DATACENTER BECOMES A COMPUTE ENGINE
59
EYAL WALDMAN
CEO, Mellanox
60
NVIDIA DGX POD —
ZERO TO DATA SCIENCE IN 1 DAY
61
ANNOUNCING WORLD’S MOST POPULAR
ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE
Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
62
ANNOUNCING WORLD’S MOST POPULAR
ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE
Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
63
64
65
MATT GARMAN
Vice President of Compute Services
Amazon Web Services
66
THE WORLD’S LEADING BRANDS USE AMAZON
EC2 P3 INSTANCES WITH NVIDIA V100 GPUS
67
INTRODUCING AMAZON EC2 G4 INSTANCES
WITH NVIDIA T4 TENSOR CORE GPUS
MACHINE LEARNING INFERENCE
GRAPHICS INTENSIVE APPLICATIONS
VIDEO TRANSCODING
68
CHAPTER 3: ROBOTICS
RTX HPC AI DR IS CL ME
NGC
RTX DGX HGX AGX
CUDA-X
CUDA
69
JETSON POWERING AUTONOMOUS MACHINES
WAREHOUSE DELIVERY AGRICULTURE INDUSTRIALRETAIL
70
ANNOUNCING JETSON NANO
$99 NVIDIA CUDA-X AI Computer
CUDA-X acceleration stack | High-resolution sensor support | Runs all CUDA-X AI models
71
ANNOUNCING ISAAC OPEN SDK
Isaac Robot Engine – Modular robot framework | Isaac Sim - Virtual robotics laboratory
Isaac Gym – Reinforcement learning simulator | Isaac Robot Apps – Kaya, Carter and Link
Available at developer.nvidia.com/isaac-sdk
CARTER (Xavier)KAYA (Nano) LINK (Multi Xavier)
ISAAC OPEN TOOLBOX
Sensor and
Actuator Drivers Core Libraries GEMS Reference DNN Tools
CUDA-X
72
73
THE DRIVE INITIATIVE
74
DRIVE OPEN PLATFORM ECOSYSTEM
CARS TRUCKS
MOBILITY
SERVICES AI ISVs SIMULATIONMAPPING SENSORSTIER 1s
75
ANNOUNCING DRIVE AP2X RELEASE 9.0
High Function L2+ Autopilot system
On-ramp to off-ramp | Surround perception for auto lane-change | Localization to all major HD maps
Real-time mapping with camera and radar | Integrated AR and VR confidence visualization
Integrated DM and voice command
76
77
DRIVE AV — PERCEPTION
Objects
Lanes & Road Markings
Free Space
Distance
78
Baidu — Beijing, China
TomTom — Barcelona, Spain
HERE — Oakland, USA
Navinfo — Shanghai, China
DRIVE AV — PERCEPTION
Objects
Lanes & Road Markings
Free Space
Distance
DRIVE AV — LOCALIZATION & MAPPING
79
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
80
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
81
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
82
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
83
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
84
ANNOUNCING DRIVE AV —
PATH PLANNING WITH SAFETY FORCE FIELD
Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort
Mathematically verifiable, validated in simulation | Open platform
85
ANNOUNCING DRIVE CONSTELLATION
AVAILABLE NOW
Virtual AV Test Fleet
Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions
Simulate previous failure scenarios | Cloud-based workflow | Open platform
86
ANNOUNCING DRIVE CONSTELLATION
AVAILABLE NOW
Virtual AV Test Fleet
Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions
Simulate previous failure scenarios | Cloud-based workflow | Open platform
87
88
89
ANNOUNCING DRIVE CONSTELLATION
AVAILABLE NOW
Virtual AV Test Fleet
Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions
Simulate previous failure scenarios | Cloud-based workflow | Open platform
90
ANNOUNCING NVIDIA AND TRI-AD PARTNER
TO CREATE FUTURE OF AUTONOMOUS VEHICLES
91
ACCELERATED COMPUTING —
THE PATH FORWARD | “PRADA”
92
RTX | OMNIVERSE | 5G GFN ALLIANCES
93
DATA SCIENCE — THE NEW HPC
CUDA-X ECOSYSTEM
94
JETSON NANO | ISAAC |
CONSTELLATION | TOYOTA
95

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GTC 2019 Keynote in Silicon Valley

  • 1. 1
  • 2. 2 NVIDIA ACCELERATED COMPUTING GROWTH 0 100 CRYOSPARC Cryo GROMACS Chemistry MICROVOLUTION Microscopy WRF Weather 600+ CUDA APPS FUN3D CFD PARABRICKS Genomics #1 World, US — ORNL Summit #1 Europe — CSCS Piz Daint #1 Japan — AIST ABCI 22 of Top 25 Energy-Efficient 50% GROWTH IN TOP50050% GROWTH OF NVIDIA DEVELOPERS 2018 2019 1.2M DEVELOPERS +50%800K 2018 2019 13M CUDA DOWNLOADS +60% 8M 2018 2019 25X 40X AMBER CHROMA LAMMPS MILC NAMD Quantum Espresso SF3D MORE PERF 2010 2012 2014 2016 2018
  • 3. 3 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA
  • 4. 4 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA Programmable SD, TTS, GID Acceleration TTA, SOP, COI Domains COD, COI Architecture GIA, GID, COI
  • 5. 5 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA PRogrammable SD, TTS, GID Acceleration TTA, SOP, COI Domains COD, COI Architecture GIA, GID, COI
  • 6. 6 RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA CHAPTER 1: GRAPHICS
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11 NVIDIA TURING RTX 18 BILLION TRANSISTORS 32 TOPS SHADER 130 TFLOPS TENSOR CORE
  • 12. 12
  • 13. 13
  • 14. 14 BROAD SUPPORT FOR NVIDIA RTX RTX comes to 9M 3D creators in 2019 3 MILLION Designers 3 MILLION 3D Artists 1 MILLION Architects 2 MILLION M&E Pros
  • 15. 15
  • 16. 16 CPU - Dual Skylake 25 38 Hours $70k $250k RTX Server - 4x RTX 8000 1 6 Hours $10k $30k # of Nodes Total Render Time Cost of Power (5 yrs) Total Cost “ Pixar artists already rely on NVIDIA ray tracing, and RTX more than doubles the performance they will see. We’re excited to use RTX on our upcoming films.” – STEVE MAY, CTO, Pixar RenderMan XPU R&D test on assets from Incredibles 2 © Disney/Pixar
  • 17. 17 COMPLEX RENDERING PIPELINE CONCEPT | MODELING | TEXTURE | RIGGING | ANIMATION | LIGHTING | RENDER
  • 19. 19 ANNOUNCING NVIDIA OMNIVERSE Open Collaboration Platform to Simplify Studio Workflows for Real-time Graphics
  • 20. 20
  • 21. 21 ANNOUNCING NVIDIA OMNIVERSE Early Access at developer.nvidia.com/nvidia-omniverse
  • 22. 22 GeForce NOW 500+ Games 15 Datacenters 300K Players 1M on Waiting List
  • 23. 23 GeForce NOW 500+ Games 15 Datacenters 300K Players 1M on Waiting List Announcing GFN Alliance
  • 24. 24 ANNOUNCING RTX SERVER Datacenter Graphics Server Design 40 Turing GPUs in 8U | Virtualize graphics apps up to 320 CCU Optimized end-to-end stack for rendering, remote workstation, and cloud gaming
  • 25. 25 ANNOUNCING RTX SERVER POD Modular Designs for Enterprise & Cloud Edge Datacenters Pods scale to 32 RTX servers | 1,280 GPUs in 10 racks High-speed storage connected with MLNX IB | Up to 10,000 concurrent users per RTX Pod
  • 26. 26 NVIDIA RTX SERVER GEFORCE NOWOMNIVERSERENDERING
  • 27. 27
  • 28. 28 RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA CHAPTER 2: AI & HPC
  • 29. 29 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA ML DL CVNLU AI DATA ANALYTICS INFERENCE
  • 30. 30 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA ETL, Pandas, Spark, Graph TensorFlow, PyTorch MXNet, Scikit-Learn, XGBoost TensorFlow Serving ONNX, SageMaker NEO CSV, PARQ, HDFS ML DL CVNLU AI DATA ANALYTICS INFERENCE
  • 31. 31 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA cuIO cuDF cuGraph cuDNN cuML TensorRT TRTIS ML DL CVNLU AI DATA ANALYTICS INFERENCE
  • 32. 32 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning
  • 33. 33 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing Tensor Core Mixed-Precision Automatically Supported in TensorFlow, PyTorch, MXNet
  • 34. 34 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing RAPIDS Now Integrated with Databricks Unified Analytics Platform
  • 35. 35 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Azure Machine Learning Announcing RAPIDS with GCP VM Images and Kubeflow Google Cloud ML
  • 36. 36 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Announcing RAPIDS Integrated into Azure Machine Learning Service
  • 37. 37 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning “ We are excited to announce that we are partnering with NVIDIA to bring RAPIDS to Accenture’s new Applied Intelligence Platform enabling our joint venture with Kansai Electric Power, K4Digital, to transform business process and create new opportunities.” – MIKE SUTCLIFF, Group Chief Executive, Accenture Digital
  • 38. 38 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing NVIDIA TensorRT Integrated into Microsoft ONNX Runtime
  • 39. 39 CLOUD ML SERVICES NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Azure Machine Learning Google Cloud ML
  • 40. 40 AI CONVERSATIONAL SEARCH 20-30 containers end-to-end | RNN, CNN, MLP in INT8, FP16, FP32 | Latency <300ms Text to Speech Speech Recognition Object DetectionJPEG Decode Resize Denoising Voice Encoder Language Model AUDIO AUDIO VISUAL VISUAL Social News Visual Search Web Question and Answer Page Layout Entity Recognition Query Annotation Query Search Auto Correct Recommendation Ambient, task and accent What are different types of lighting for a living room?
  • 42. 42 ANNOUNCING WORLD’S LEADING TECH COMPANIES Voice Search | Image Search Recommendations | Home Assistant News Feed | Translation | eCommerce Adopt CUDA-X AI to Accelerate Model Deployment 6X TensorRT Downloads 2017 2018 300K 50K
  • 43. 43 TRANSFER LEARNING ANNOUNCING CLARA AI TOOLKIT Build, Manage And Deploy AI Applications For Radiology AI-Assisted Annotation – Hours to Minutes | 10x Less Training Data Needed | 13 Pre-Trained Models Reference Training and Deployment Pipelines | Available at developer.nvidia.com/clara AI DEPLOYMENT PRE-TRAINED MODELS AI-ASSISTED ANNOTATION
  • 44. 44 CLARA AI – BUILT FOR RADIOLOGY MGH 3D Annotation from Hours to Minutes OSU Clinical Model Deployment in Less Than 24 hours DKFZ Clara AI Annotation Integrated in MITK Open Source Viewer NIH Trained State-of-the-Art Model in Weeks
  • 45. 45 DATA SCIENCE IS THE NEW HPC CHALLENGE ML DL CVNLU AI DATA ANALYTICS PREDICTIVE MODELFEATURES INFERENCE PREDICTIONDATA
  • 46. 46 25 million customers in 40+ states in US 500K access points 1TB | day
  • 47. 47
  • 48. 48 A WORKSTATION FOR DATA SCIENTISTS Powered by NVIDIA GPU and CUDA-X AI Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster
  • 49. 49 ANNOUNCING WORLD’S TOP COMPUTER MAKERS OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA GPU and CUDA-X AI Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster Acceleration of FSI Data Science Workflow 2x RTX8000 1x RTX8000 CPU
  • 50. 50 ANNOUNCING WORLD’S TOP COMPUTER MAKERS OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA GPU and CUDA-X AI Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster
  • 51. 51 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
  • 52. 52 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
  • 53. 53 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
  • 54. 54 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE
  • 55. 55 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB
  • 56. 56 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB
  • 57. 57 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB Data Science Server 4x T4 | 260 TF FP16 | 64GB GDDR6 MLNX or BRCM EN
  • 58. 58 DATACENTER BECOMES A COMPUTE ENGINE
  • 60. 60 NVIDIA DGX POD — ZERO TO DATA SCIENCE IN 1 DAY
  • 61. 61 ANNOUNCING WORLD’S MOST POPULAR ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
  • 62. 62 ANNOUNCING WORLD’S MOST POPULAR ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
  • 63. 63
  • 64. 64
  • 65. 65 MATT GARMAN Vice President of Compute Services Amazon Web Services
  • 66. 66 THE WORLD’S LEADING BRANDS USE AMAZON EC2 P3 INSTANCES WITH NVIDIA V100 GPUS
  • 67. 67 INTRODUCING AMAZON EC2 G4 INSTANCES WITH NVIDIA T4 TENSOR CORE GPUS MACHINE LEARNING INFERENCE GRAPHICS INTENSIVE APPLICATIONS VIDEO TRANSCODING
  • 68. 68 CHAPTER 3: ROBOTICS RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA
  • 69. 69 JETSON POWERING AUTONOMOUS MACHINES WAREHOUSE DELIVERY AGRICULTURE INDUSTRIALRETAIL
  • 70. 70 ANNOUNCING JETSON NANO $99 NVIDIA CUDA-X AI Computer CUDA-X acceleration stack | High-resolution sensor support | Runs all CUDA-X AI models
  • 71. 71 ANNOUNCING ISAAC OPEN SDK Isaac Robot Engine – Modular robot framework | Isaac Sim - Virtual robotics laboratory Isaac Gym – Reinforcement learning simulator | Isaac Robot Apps – Kaya, Carter and Link Available at developer.nvidia.com/isaac-sdk CARTER (Xavier)KAYA (Nano) LINK (Multi Xavier) ISAAC OPEN TOOLBOX Sensor and Actuator Drivers Core Libraries GEMS Reference DNN Tools CUDA-X
  • 72. 72
  • 74. 74 DRIVE OPEN PLATFORM ECOSYSTEM CARS TRUCKS MOBILITY SERVICES AI ISVs SIMULATIONMAPPING SENSORSTIER 1s
  • 75. 75 ANNOUNCING DRIVE AP2X RELEASE 9.0 High Function L2+ Autopilot system On-ramp to off-ramp | Surround perception for auto lane-change | Localization to all major HD maps Real-time mapping with camera and radar | Integrated AR and VR confidence visualization Integrated DM and voice command
  • 76. 76
  • 77. 77 DRIVE AV — PERCEPTION Objects Lanes & Road Markings Free Space Distance
  • 78. 78 Baidu — Beijing, China TomTom — Barcelona, Spain HERE — Oakland, USA Navinfo — Shanghai, China DRIVE AV — PERCEPTION Objects Lanes & Road Markings Free Space Distance DRIVE AV — LOCALIZATION & MAPPING
  • 79. 79 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 80. 80 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 81. 81 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 82. 82 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 83. 83 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 84. 84 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
  • 85. 85 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
  • 86. 86 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
  • 87. 87
  • 88. 88
  • 89. 89 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
  • 90. 90 ANNOUNCING NVIDIA AND TRI-AD PARTNER TO CREATE FUTURE OF AUTONOMOUS VEHICLES
  • 91. 91 ACCELERATED COMPUTING — THE PATH FORWARD | “PRADA”
  • 92. 92 RTX | OMNIVERSE | 5G GFN ALLIANCES
  • 93. 93 DATA SCIENCE — THE NEW HPC CUDA-X ECOSYSTEM
  • 94. 94 JETSON NANO | ISAAC | CONSTELLATION | TOYOTA
  • 95. 95