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JETSON PLATFORM
OVERVIEW
MARCEL SARAIVA – MSARAIVA@NVIDIA.COM
+55 11 966330057
2
AGENDA
• NVIDIA – PLATAFORMA INTELIGENCIA ARTIFICIAL
• ECOSSITEMA NVIDIA JETSON
• FAMILIA JETSON EM DETALHES
• FERRAMENTAS DE DESENVOLVIMENTO
• MODELOS DE USO
PLATAFORMA JETSON
3
MASS-MARKET EDGE SYSTEMS NEED AI
HOME/SERVICE ROBOTS
175 billion hours per year on
household chores (US)
MACHINE VISION/AOI
1 trillion product units per
year require visual inspection
NETWORK VIDEO RECORDER
200 million 1080p streams
AIOT
80% of Enterprise IOT
projects will use AI by 2022
4
AI – EDGE TO CLOUD PLATFORM
JETSON TESLA DGX
TENSORRT  DEEPSTREAM  JETPACK NVIDIA GPU CLOUD  DIGITS
Edge device Server
CLOUD
Training and Inference
EDGE AND ON-PREMISES
Inference
5
Artificial Intelligence Computer Vision Accelerated Computing Multimedia
Gesture recObj detectPath planningDepth est
NVIDIA JETSON
SOFTWARE-DEFINED AUTONOMOUS MACHINES
Powerful and efficient AI, CV, HPC | Rich Software Development Platform
Open Platform
Pose est Speech rec
Sensors
JETSON COMPUTER
JETPACK SDK
ACCELERATED MODULES
ECOSYSTEM
BSP • Linux • Security Architecture
AI/Systems Software Design Services
6
JETSON
MOMENTUM
500,000
Developers
3,000
Customers
Collaboration
Healthcare
Autonomous Drone
Traffic
Delivery Robot
Warehouse Digital EducationOptical Inspection
Agriculture
7
THE JETSON FAMILY
for AI at the Edge and Autonomous System designs
Same software
Full specs at developer.nvidia.com/jetson * TX2i: 10-20W
7.5 – 15W*
50mm x 87mm
JETSON TX2 series
1.3 TFLOPS (FP16)
5 - 10W
45mm x 70mm
JETSON NANO
0.5 TFLOPS (FP16)
10 – 30W
100mm x 87mm
JETSON AGX XAVIER series
11 TFLOPS (FP16)
32 TOPS (INT8)
10 - 15W
45mm x 70mm
JETSON Xavier NX
6 TFLOPS (FP16)
21 TOPS (INT8)
Mainstream Autonomous machinesEntry
8
JETSON NANO
Low Cost AI Computer Module
Heterogeneous CPU Complex
Quad Cores A57 with 2MB L2
for multi-threaded operation
1.43Ghz
Maxwell Tensor Core GPU
128 CUDA Cores
472 GFLOPS (FP16)
Multimedia Engines
Encode 4k, 4x1080p, 8x720p up to 120fps
Decode 4k60, 2x4k, 8x1080p, 16x720p up to 240fps
JPEG encode & decode 600 MP/s
H.264, H.265, VP9, VP8, VC-1, MPEG-2
HDMI, DP and eDP Display support
Computer Vision Engines
ISP
Video Image Compositor
Boot, Power & Security
Boot and power management
ARM TrustZone Secure
Industry Standard IO
GPIO, I2C, I2S, SDIO, SPI, UART
Support up to 12 CSI @1.5Gbps
Industry Standard High-Speed IO
PCle Gen2 rootport x1 | x2 | x4
12 lanes MIPI CSI-2 (D-Phy)
RGMII Ethernet
USB 3.0 and 2.0
USB 3.0 Gen2 Host and Device
Memory
4GB 64-Bit LPDDR4
Bandwidth 25.6 GB/s
16GB eMMC
Jetson Nano
Quad A57 CPU Complex
Boot, Power &
Security
Sensor IO
Maxwell GPU
High Performance
IO
Multimedia
Complex
Memory
System
Computer Vision
Engines
9
JETSON NANO
Low Cost AI Computer Module
10
JETSON XAVIER NX
World’s Smallest Supercomputer
Carmel ARM V8.2 CPU
6 Cores 4x2MB L2, 4MB L3
10-wide Superscalar
Cache coherent CPU complex
Volta Tensor Core GPU
FP32/FP16/INT8 Multi-Precision
384 CUDA Cores
2.8 TFLOPS (FP16)
12 DL TOPS (INT8)
Multimedia Engines
Encode, Decode,
Video Image Compositor
H.264, H.265, VP9
HDMI and DP Display support
DLA – Designed for Inference
5.5 TFLOPS FP16
9 TOPS INT8
Boot, Power & Security
Boot and power management processor
TEE + ARM TrustZone
AES, RSA, SHA
Industry Standard IO
Always on Sensor processor engine (AON/SPE)
CAN, DMIC, GPIO, I2C, I2S, PMC, SPI, UART
Industry Standard High-Speed IO
PCle Gen3 Root and Endpoint
12 lanes MIPI CSI-2 | 6 lanes SLVS-EC
Support C-Phy and D-Phy
RGMII Ethernet
USB 3.1 and 2.0
USB 3.1 Gen2 Host and Device
Memory
128-Bit LPDDR4X
8GB, 51.2 GB/s
11
JETSON XAVIER NX
World’s Smallest Supercomputer
12
JETSON AGX XAVIER
World’s First Autonomous Machine Platform
Carmel ARM V8.2 CPU
8 Cores 4x2MB L2, 4MB L3
10-wide Superscalar
Cache coherent CPU complex
Volta Tensor Core GPU
FP32/FP16/INT8 Multi-Precision
512 CUDA Cores
6 TFLOPS (FP16)
22.6 Tensor Core DL TOPS
Multimedia Engines
Encode, Decode,
Video Image Compositor
H.264, H.265, VP9
HDMI and DP Display support
DLA – Designed for Inference
5.7 TFLOPS FP16
11.4 TOPS INT8
Computer Vision Engines
Vision Accelerator
Stereo & Optical Flow Engine
HDR ISP
Boot, Power & Security
Boot and power management processor
TEE + ARM TrustZone
AES, RSA, SHA
Industry Standard IO
Always on Sensor processor engine (AON/SPE)
CAN, DMIC, GPIO, I2C, I2S, PMC, SPI, UART
Industry Standard High-Speed IO
PCle Gen4 Root and Endpoint
16 lanes MIPI CSI-2 | 8 lanes SLVS-EC
Support C-Phy and D-Phy
RGMII Ethernet
USB 3.1 and 2.0
USB 3.1 Gen2 Host and Device
Memory
256-Bit LPDDR4X
32GB, 137 GB/s
13
JETSON AGX XAVIER
World’s First Autonomous Machine Platform
14
JETSON AGX XAVIER
10 | 15W | 30W
11 TFLOPS (FP16) | 32 TOPS (INT8)
$699
JETSON NANO
5W | 10W
0.5 TFLOPS (FP16)
$99
JETSON DEVELOPER KITS
For Developers, Engineers and Makers
Multiple developer kits - Same software
Full specs at developer.nvidia.com/jetson
JETSON TX2
7.5W | 15W
1.3 TFLOPS (FP16)
$399 ($299 EDU)
JETSON XAVIER NX
10W | 15W
7 TFLOPS (FP16) | 21 TOPS (INT8)
$399
15
Softwar
e
JETSON NANO JETSON TX2 JETSON XAVIER NX JETSON AGX XAVIER
GPU
128 Core Maxwell
0.5 TFLOPs (FP16)
256 Core Pascal
1.3 TFLOPS (FP16)
384 Core Volta
21 TOPs (INT8)
512 Core Volta + NVDLA
32 TOPS (INT8)
CPU 4 core ARM A57
6 core Denver and A57
(2x) 2MB L2
6 core Carmel ARM CPU
(3x) 2MB L2 + 4MB L3
8 core Carmel ARM CPU
(4x) 2MB L2 + 4MB L3
Memory
4 GB 64-bit LPDDR4
25.6 GB/s
Up to 8 GB 128b LPDDR4
58 GB/s
8 GB 128-bit LPDDR4x
51.2 GB/s
Up to 32GB 256-bit
LPDDR4x
137 GB/s
Storage 16 GB eMMC Up to 32 GB eMMC 16 GB eMMC 32 GB eMMC
Encode 4K @ 30 (H.265) 4K @ 60 (H.265) 2x 4K @ 30 (H.265) 4x 4K @ 60 (H.265)
Decode 4K @ 60 (H.265) 2x 4K @ 60 (H.265) 2x 4K @ 60 (H.265) 6x 4K @ 60 (H.265)
Camera
12 (3x4 or 4x2) MIPI CSI-2
D-PHY 1.1 lanes (18
Gbps)
12 lanes MIPI CSI-2
D-PHY 1.2 (30 Gbps)
C-PHY (41 Gbps)
12 lanes (3x4 or 6x2)
MIPI CSI-2
D-PHY 1.2 (30 Gbps)
16 lanes MIPI CSI-2 | 8
lanes SLVS-EC
D-PHY (40 Gbps)
C-PHY (59 Gbps)
Mechanical
69.6mm x 45mm
260 pin edge connector
87mm x 50mm
400 pin connector
69.6mm x 45mm
260 pin edge connector
100mm x 87mm
699 pin connector
Software JetPack SDK – Unified software release across all Jetson products
16
11 10 15 17 15
24 23
33 39 34
317
65
151 146
239
525
275 281
240
439
0
50
100
150
200
250
300
350
400
450
500
550
Classification
Inception V4
(299x299)
VGG-19
(224x224)
Image Processing
Super Resolution
(481x321)
Segmentation
Unet
(256x256)
Pose Estimation
OpenPose
(256x456)
Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier
DEEP LEARNING INFERENCE PERFORMANCE
Imagespersecond(FPS)
XAVIER NX latency <= 15ms
17
48 37 43
108 83 92
562
824
888
1098
1941
1587
0
200
400
600
800
1000
1200
1400
1600
1800
2000
Object Detection
Tiny YOLO V3
(416x416)
Classification
ResNet-50
(224x224)
SSD Mobilenet-V1
(300x300)
Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier
DEEP LEARNING INFERENCE PERFORMANCE
Imagespersecond(FPS)
XAVIER NX latency <= 15ms
18
103
31
170
60
0
30
60
90
120
150
180
BERT_BASE
(sequence length 128)
BERT_LARGE
(sequence length 128)
Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier
DEEP LEARNING INFERENCE PERFORMANCE
BERT batch size = 1
Sequences/s
19
JETSON SOFTWARE
for AI Edge Devices
FactoryCity Logistics Healthcare Agriculture
Ecosystem
AI Software and Services
Ecosystem
Machine Vision Cameras & Sensors
Ecosystem
System Software & Developer Tools
Jetson
DeepStream SDK Isaac SDK
DeveloperTools
Computer Vision
VPI
VisionWorks
OpenCV
Sensors
Drivers
Ecosystem
Deep Learning
TensorRT
cuDNN
Multimedia
libargus
Video API
Accelerated Computing
cuBLAS
cuFFT
CUDA-X
CUDA • Linux • RTOS
JetPackSDK
20
CLOUD NATIVE ON JETSON
Easier and Faster Deployment
- Eliminates complex, time-consuming builds and installs
Agile and Easier Development
- Update specific modules not the whole system
Scalability
- Push the right container to the right platform
Portable
- Deploy across various environments, from test to
production with minimal changes
Consistency Across Portfolio
- Update once and push broadly
Containers & Micro Services
21
CLOUD NATIVE DEMO ON JETSON
22
TRANSFER LEARNING TOOLKIT
Faster and efficient deep
learning training workflow
Leverages prior investment in
pretrained models
Output optimized and ready for
deployment
High level SDK for tuning of domain specific DNNs
23
NVIDIA TensorRT
From Every Framework, Optimized For Each Target Platform
TX2
Nano
AGX Xavier
Xavier NX
NVIDIA Products
TensorRT
24
JETSON DEVELOPER TOOLS
System wide application tuning and optimization
Workload balancing across GPU, CPU, DLA
Multi-platform development
Comprehensive tool suite to accelerate development
CUDA-aware editor CPU/GPU debugger
Compute and graphics
Visual profiler and system trace
Develop → Profile → Analyze → Optimize
https://developer.nvidia.com/nsight-systems
25
JETSON ECOSYSTEM
HW AND
SENSORS
DISTRIBUTION
SOFTWARE
CAMERA AND SENSORS HARDWARE AND DESIGN SERVICES
SOFTWARE SERVICESCSP-IOTTOOLS/SYSTEMS SWISV
26
https://developer.nvidia.com/embedded/jetson-partner-supported-cameras
27
JETSON INFORMATION RESOURCES
Most Critical Nvidia Resources For Jetson Information
docs.nvidia.com
Jetson SW Documentation
JetPack Overview
L4T Development Guide
L4T Multimedia
developer.nvidia.com
Autonomous Machines
Support Resources page
Download Center
Module Datasheet
Product Design Guide
Adaptation and Bring-up
Guide
Jetson FAQ
Nvidia.com – Platforms
Autonomous Machines
Jetson Product Overview
Industries – Application
Examples
Autonomous Machines
Blog
Forums
Search
Answer questions
AIOT GitHub
Examples
Tutorials
28
JETSON INFORMATION RESOURCES
Internet Resources For Jetson Information
elinux.org/jetson
Useful collection of information around Jetson
Guides & Tutorials
Links to tools and examples
Components and add-on’s for devkits
JetsonHacks
Developer focused tips&tricks
Product reviews
Articles and How-To’s
Tools and application example
29
DEEP LEARNING INSTITUTE
Training  Labs Nanodegrees
nvidia.com/DLI
TWO DAYS TO A DEMO
Create your first demo today
developer.nvidia.com/
embedded/twodaystoademo
JETSON DEVELOPER KIT
Start developing now
Starting at $299
developer.nvidia.com/
buy-jetson
GTC
Largest event for GPU
developers
gputechconf.com
JETSON - START NOW
30
EXEMPLOS DE APLICAÇÃO
DA PLATAFORMA JETSON
31
INTELLIGENT VIDEO ANALYTICS
Logistics
Public Transit
Public Safety
Critical Infrastructure
Traffic Engineering
Retail Analytics
Parking Management
Access Control
— Increase operational efficiency and safety across many industries using AI
$2T INDUSTRY
32
NVIDIA METROPOLIS
A Powerful Application Framework for Intelligent Video Analytics & IoT
https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/
EGX SOFTWARE STACK
METROPOLIS SOFTWARE STACK
DEEPSTREAM TRT, TRITON TLT VIDEOCODEC
NGC NVIDIA PARTNERS
NVIDIA EGX HARDWARE
T4 JETSON
CUDA-X
Kubernetes Networking Storage Security
33
GETTING STARTED APPLICATIONS
Available in C and Python
Name Function
deepstream-test1
DeepStream Hello world. Single video from
file to on screen display with bounding box
deepstream-test2
Builds on test1 and adds secondary object
classification on detected objects
deepstream-test3
Builds on test1 and adds multiple video
inputs
deepstream-test4
Builds on test1 and adds connections to IoT
services thru the nvmsgbroker plugin
Object
detection
Classific-
ation
BatchingDecode
Object
detection
BatchingDecode
Object
detection
Object
detection
Message
Broker
Native C apps: sources/apps/sample_apps/
Python apps: https://github.com/NVIDIA-AI-IOT/deepstream_python_apps
Message
Converter
34
END-TO-END REAL TIME PERFORMANCE
Jetson
Nano
Jetson
Xavier NX
Jetson
AGX Xavier
T4
Model
Architecture
Inference
resolution
Precision
Model
Accuracy
GPU
(FPS)
GPU
(FPS)
DLA1
(FPS)
DLA2
(FPS)
GPU
(FPS)
DLA1
(FPS)
DLA2
(FPS)
GPU
(FPS)
PeopleNet -
ResNet34
960 x 544 FP16 84% 10 60 30 30 120 60 60 460
TrafficCamNet -
ResNet18
960 x 544 INT8 84% 19* 180 90 90 420 120 120 1300
DashCamNet -
ResNet18
960 x 544 INT8 80% 18* 180 90 90 390 120 120 1280
FaceDetect-IR -
ResNet18
384 x 240 INT8 96% 95* 1080 570 570 1950 780 780 2160
* FP16 inference on Jetson Nano
35
PEOPLE COUNTING
CAPTURE DECODE STREAM MGMT TRACKING
DRAW BOXES
AND LABELS
RENDER
DETECT
PEOPLE
ANALYTICS –
COUNT PEOPLE
RULES
36
SOCIAL DISTANCING APP
TRACKING
DETECT
PEOPLE
MSGBROKER –
METADATA
DEEPSTREAM
ANALYTIC
CAMERA
CALIBRATION
RTSP SINK
Messages
Stream out
Siga a NVIDIA
/NVIDIABrasil
/NVIDIABrasil
/nvidiabrasil
MARCEL SARAIVA – MSARAIVA@NVIDIA.COM
+55 11 966330057

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Webinar: NVIDIA JETSON – A Inteligência Artificial na palma de sua mão

  • 1. JETSON PLATFORM OVERVIEW MARCEL SARAIVA – MSARAIVA@NVIDIA.COM +55 11 966330057
  • 2. 2 AGENDA • NVIDIA – PLATAFORMA INTELIGENCIA ARTIFICIAL • ECOSSITEMA NVIDIA JETSON • FAMILIA JETSON EM DETALHES • FERRAMENTAS DE DESENVOLVIMENTO • MODELOS DE USO PLATAFORMA JETSON
  • 3. 3 MASS-MARKET EDGE SYSTEMS NEED AI HOME/SERVICE ROBOTS 175 billion hours per year on household chores (US) MACHINE VISION/AOI 1 trillion product units per year require visual inspection NETWORK VIDEO RECORDER 200 million 1080p streams AIOT 80% of Enterprise IOT projects will use AI by 2022
  • 4. 4 AI – EDGE TO CLOUD PLATFORM JETSON TESLA DGX TENSORRT  DEEPSTREAM  JETPACK NVIDIA GPU CLOUD  DIGITS Edge device Server CLOUD Training and Inference EDGE AND ON-PREMISES Inference
  • 5. 5 Artificial Intelligence Computer Vision Accelerated Computing Multimedia Gesture recObj detectPath planningDepth est NVIDIA JETSON SOFTWARE-DEFINED AUTONOMOUS MACHINES Powerful and efficient AI, CV, HPC | Rich Software Development Platform Open Platform Pose est Speech rec Sensors JETSON COMPUTER JETPACK SDK ACCELERATED MODULES ECOSYSTEM BSP • Linux • Security Architecture AI/Systems Software Design Services
  • 7. 7 THE JETSON FAMILY for AI at the Edge and Autonomous System designs Same software Full specs at developer.nvidia.com/jetson * TX2i: 10-20W 7.5 – 15W* 50mm x 87mm JETSON TX2 series 1.3 TFLOPS (FP16) 5 - 10W 45mm x 70mm JETSON NANO 0.5 TFLOPS (FP16) 10 – 30W 100mm x 87mm JETSON AGX XAVIER series 11 TFLOPS (FP16) 32 TOPS (INT8) 10 - 15W 45mm x 70mm JETSON Xavier NX 6 TFLOPS (FP16) 21 TOPS (INT8) Mainstream Autonomous machinesEntry
  • 8. 8 JETSON NANO Low Cost AI Computer Module Heterogeneous CPU Complex Quad Cores A57 with 2MB L2 for multi-threaded operation 1.43Ghz Maxwell Tensor Core GPU 128 CUDA Cores 472 GFLOPS (FP16) Multimedia Engines Encode 4k, 4x1080p, 8x720p up to 120fps Decode 4k60, 2x4k, 8x1080p, 16x720p up to 240fps JPEG encode & decode 600 MP/s H.264, H.265, VP9, VP8, VC-1, MPEG-2 HDMI, DP and eDP Display support Computer Vision Engines ISP Video Image Compositor Boot, Power & Security Boot and power management ARM TrustZone Secure Industry Standard IO GPIO, I2C, I2S, SDIO, SPI, UART Support up to 12 CSI @1.5Gbps Industry Standard High-Speed IO PCle Gen2 rootport x1 | x2 | x4 12 lanes MIPI CSI-2 (D-Phy) RGMII Ethernet USB 3.0 and 2.0 USB 3.0 Gen2 Host and Device Memory 4GB 64-Bit LPDDR4 Bandwidth 25.6 GB/s 16GB eMMC Jetson Nano Quad A57 CPU Complex Boot, Power & Security Sensor IO Maxwell GPU High Performance IO Multimedia Complex Memory System Computer Vision Engines
  • 9. 9 JETSON NANO Low Cost AI Computer Module
  • 10. 10 JETSON XAVIER NX World’s Smallest Supercomputer Carmel ARM V8.2 CPU 6 Cores 4x2MB L2, 4MB L3 10-wide Superscalar Cache coherent CPU complex Volta Tensor Core GPU FP32/FP16/INT8 Multi-Precision 384 CUDA Cores 2.8 TFLOPS (FP16) 12 DL TOPS (INT8) Multimedia Engines Encode, Decode, Video Image Compositor H.264, H.265, VP9 HDMI and DP Display support DLA – Designed for Inference 5.5 TFLOPS FP16 9 TOPS INT8 Boot, Power & Security Boot and power management processor TEE + ARM TrustZone AES, RSA, SHA Industry Standard IO Always on Sensor processor engine (AON/SPE) CAN, DMIC, GPIO, I2C, I2S, PMC, SPI, UART Industry Standard High-Speed IO PCle Gen3 Root and Endpoint 12 lanes MIPI CSI-2 | 6 lanes SLVS-EC Support C-Phy and D-Phy RGMII Ethernet USB 3.1 and 2.0 USB 3.1 Gen2 Host and Device Memory 128-Bit LPDDR4X 8GB, 51.2 GB/s
  • 11. 11 JETSON XAVIER NX World’s Smallest Supercomputer
  • 12. 12 JETSON AGX XAVIER World’s First Autonomous Machine Platform Carmel ARM V8.2 CPU 8 Cores 4x2MB L2, 4MB L3 10-wide Superscalar Cache coherent CPU complex Volta Tensor Core GPU FP32/FP16/INT8 Multi-Precision 512 CUDA Cores 6 TFLOPS (FP16) 22.6 Tensor Core DL TOPS Multimedia Engines Encode, Decode, Video Image Compositor H.264, H.265, VP9 HDMI and DP Display support DLA – Designed for Inference 5.7 TFLOPS FP16 11.4 TOPS INT8 Computer Vision Engines Vision Accelerator Stereo & Optical Flow Engine HDR ISP Boot, Power & Security Boot and power management processor TEE + ARM TrustZone AES, RSA, SHA Industry Standard IO Always on Sensor processor engine (AON/SPE) CAN, DMIC, GPIO, I2C, I2S, PMC, SPI, UART Industry Standard High-Speed IO PCle Gen4 Root and Endpoint 16 lanes MIPI CSI-2 | 8 lanes SLVS-EC Support C-Phy and D-Phy RGMII Ethernet USB 3.1 and 2.0 USB 3.1 Gen2 Host and Device Memory 256-Bit LPDDR4X 32GB, 137 GB/s
  • 13. 13 JETSON AGX XAVIER World’s First Autonomous Machine Platform
  • 14. 14 JETSON AGX XAVIER 10 | 15W | 30W 11 TFLOPS (FP16) | 32 TOPS (INT8) $699 JETSON NANO 5W | 10W 0.5 TFLOPS (FP16) $99 JETSON DEVELOPER KITS For Developers, Engineers and Makers Multiple developer kits - Same software Full specs at developer.nvidia.com/jetson JETSON TX2 7.5W | 15W 1.3 TFLOPS (FP16) $399 ($299 EDU) JETSON XAVIER NX 10W | 15W 7 TFLOPS (FP16) | 21 TOPS (INT8) $399
  • 15. 15 Softwar e JETSON NANO JETSON TX2 JETSON XAVIER NX JETSON AGX XAVIER GPU 128 Core Maxwell 0.5 TFLOPs (FP16) 256 Core Pascal 1.3 TFLOPS (FP16) 384 Core Volta 21 TOPs (INT8) 512 Core Volta + NVDLA 32 TOPS (INT8) CPU 4 core ARM A57 6 core Denver and A57 (2x) 2MB L2 6 core Carmel ARM CPU (3x) 2MB L2 + 4MB L3 8 core Carmel ARM CPU (4x) 2MB L2 + 4MB L3 Memory 4 GB 64-bit LPDDR4 25.6 GB/s Up to 8 GB 128b LPDDR4 58 GB/s 8 GB 128-bit LPDDR4x 51.2 GB/s Up to 32GB 256-bit LPDDR4x 137 GB/s Storage 16 GB eMMC Up to 32 GB eMMC 16 GB eMMC 32 GB eMMC Encode 4K @ 30 (H.265) 4K @ 60 (H.265) 2x 4K @ 30 (H.265) 4x 4K @ 60 (H.265) Decode 4K @ 60 (H.265) 2x 4K @ 60 (H.265) 2x 4K @ 60 (H.265) 6x 4K @ 60 (H.265) Camera 12 (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 lanes (18 Gbps) 12 lanes MIPI CSI-2 D-PHY 1.2 (30 Gbps) C-PHY (41 Gbps) 12 lanes (3x4 or 6x2) MIPI CSI-2 D-PHY 1.2 (30 Gbps) 16 lanes MIPI CSI-2 | 8 lanes SLVS-EC D-PHY (40 Gbps) C-PHY (59 Gbps) Mechanical 69.6mm x 45mm 260 pin edge connector 87mm x 50mm 400 pin connector 69.6mm x 45mm 260 pin edge connector 100mm x 87mm 699 pin connector Software JetPack SDK – Unified software release across all Jetson products
  • 16. 16 11 10 15 17 15 24 23 33 39 34 317 65 151 146 239 525 275 281 240 439 0 50 100 150 200 250 300 350 400 450 500 550 Classification Inception V4 (299x299) VGG-19 (224x224) Image Processing Super Resolution (481x321) Segmentation Unet (256x256) Pose Estimation OpenPose (256x456) Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier DEEP LEARNING INFERENCE PERFORMANCE Imagespersecond(FPS) XAVIER NX latency <= 15ms
  • 17. 17 48 37 43 108 83 92 562 824 888 1098 1941 1587 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Object Detection Tiny YOLO V3 (416x416) Classification ResNet-50 (224x224) SSD Mobilenet-V1 (300x300) Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier DEEP LEARNING INFERENCE PERFORMANCE Imagespersecond(FPS) XAVIER NX latency <= 15ms
  • 18. 18 103 31 170 60 0 30 60 90 120 150 180 BERT_BASE (sequence length 128) BERT_LARGE (sequence length 128) Jetson Nano Jetson TX2 Jetson Xavier NX Jetson AGX Xavier DEEP LEARNING INFERENCE PERFORMANCE BERT batch size = 1 Sequences/s
  • 19. 19 JETSON SOFTWARE for AI Edge Devices FactoryCity Logistics Healthcare Agriculture Ecosystem AI Software and Services Ecosystem Machine Vision Cameras & Sensors Ecosystem System Software & Developer Tools Jetson DeepStream SDK Isaac SDK DeveloperTools Computer Vision VPI VisionWorks OpenCV Sensors Drivers Ecosystem Deep Learning TensorRT cuDNN Multimedia libargus Video API Accelerated Computing cuBLAS cuFFT CUDA-X CUDA • Linux • RTOS JetPackSDK
  • 20. 20 CLOUD NATIVE ON JETSON Easier and Faster Deployment - Eliminates complex, time-consuming builds and installs Agile and Easier Development - Update specific modules not the whole system Scalability - Push the right container to the right platform Portable - Deploy across various environments, from test to production with minimal changes Consistency Across Portfolio - Update once and push broadly Containers & Micro Services
  • 21. 21 CLOUD NATIVE DEMO ON JETSON
  • 22. 22 TRANSFER LEARNING TOOLKIT Faster and efficient deep learning training workflow Leverages prior investment in pretrained models Output optimized and ready for deployment High level SDK for tuning of domain specific DNNs
  • 23. 23 NVIDIA TensorRT From Every Framework, Optimized For Each Target Platform TX2 Nano AGX Xavier Xavier NX NVIDIA Products TensorRT
  • 24. 24 JETSON DEVELOPER TOOLS System wide application tuning and optimization Workload balancing across GPU, CPU, DLA Multi-platform development Comprehensive tool suite to accelerate development CUDA-aware editor CPU/GPU debugger Compute and graphics Visual profiler and system trace Develop → Profile → Analyze → Optimize https://developer.nvidia.com/nsight-systems
  • 25. 25 JETSON ECOSYSTEM HW AND SENSORS DISTRIBUTION SOFTWARE CAMERA AND SENSORS HARDWARE AND DESIGN SERVICES SOFTWARE SERVICESCSP-IOTTOOLS/SYSTEMS SWISV
  • 27. 27 JETSON INFORMATION RESOURCES Most Critical Nvidia Resources For Jetson Information docs.nvidia.com Jetson SW Documentation JetPack Overview L4T Development Guide L4T Multimedia developer.nvidia.com Autonomous Machines Support Resources page Download Center Module Datasheet Product Design Guide Adaptation and Bring-up Guide Jetson FAQ Nvidia.com – Platforms Autonomous Machines Jetson Product Overview Industries – Application Examples Autonomous Machines Blog Forums Search Answer questions AIOT GitHub Examples Tutorials
  • 28. 28 JETSON INFORMATION RESOURCES Internet Resources For Jetson Information elinux.org/jetson Useful collection of information around Jetson Guides & Tutorials Links to tools and examples Components and add-on’s for devkits JetsonHacks Developer focused tips&tricks Product reviews Articles and How-To’s Tools and application example
  • 29. 29 DEEP LEARNING INSTITUTE Training  Labs Nanodegrees nvidia.com/DLI TWO DAYS TO A DEMO Create your first demo today developer.nvidia.com/ embedded/twodaystoademo JETSON DEVELOPER KIT Start developing now Starting at $299 developer.nvidia.com/ buy-jetson GTC Largest event for GPU developers gputechconf.com JETSON - START NOW
  • 30. 30 EXEMPLOS DE APLICAÇÃO DA PLATAFORMA JETSON
  • 31. 31 INTELLIGENT VIDEO ANALYTICS Logistics Public Transit Public Safety Critical Infrastructure Traffic Engineering Retail Analytics Parking Management Access Control — Increase operational efficiency and safety across many industries using AI $2T INDUSTRY
  • 32. 32 NVIDIA METROPOLIS A Powerful Application Framework for Intelligent Video Analytics & IoT https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/ EGX SOFTWARE STACK METROPOLIS SOFTWARE STACK DEEPSTREAM TRT, TRITON TLT VIDEOCODEC NGC NVIDIA PARTNERS NVIDIA EGX HARDWARE T4 JETSON CUDA-X Kubernetes Networking Storage Security
  • 33. 33 GETTING STARTED APPLICATIONS Available in C and Python Name Function deepstream-test1 DeepStream Hello world. Single video from file to on screen display with bounding box deepstream-test2 Builds on test1 and adds secondary object classification on detected objects deepstream-test3 Builds on test1 and adds multiple video inputs deepstream-test4 Builds on test1 and adds connections to IoT services thru the nvmsgbroker plugin Object detection Classific- ation BatchingDecode Object detection BatchingDecode Object detection Object detection Message Broker Native C apps: sources/apps/sample_apps/ Python apps: https://github.com/NVIDIA-AI-IOT/deepstream_python_apps Message Converter
  • 34. 34 END-TO-END REAL TIME PERFORMANCE Jetson Nano Jetson Xavier NX Jetson AGX Xavier T4 Model Architecture Inference resolution Precision Model Accuracy GPU (FPS) GPU (FPS) DLA1 (FPS) DLA2 (FPS) GPU (FPS) DLA1 (FPS) DLA2 (FPS) GPU (FPS) PeopleNet - ResNet34 960 x 544 FP16 84% 10 60 30 30 120 60 60 460 TrafficCamNet - ResNet18 960 x 544 INT8 84% 19* 180 90 90 420 120 120 1300 DashCamNet - ResNet18 960 x 544 INT8 80% 18* 180 90 90 390 120 120 1280 FaceDetect-IR - ResNet18 384 x 240 INT8 96% 95* 1080 570 570 1950 780 780 2160 * FP16 inference on Jetson Nano
  • 35. 35 PEOPLE COUNTING CAPTURE DECODE STREAM MGMT TRACKING DRAW BOXES AND LABELS RENDER DETECT PEOPLE ANALYTICS – COUNT PEOPLE RULES
  • 36. 36 SOCIAL DISTANCING APP TRACKING DETECT PEOPLE MSGBROKER – METADATA DEEPSTREAM ANALYTIC CAMERA CALIBRATION RTSP SINK Messages Stream out
  • 37. Siga a NVIDIA /NVIDIABrasil /NVIDIABrasil /nvidiabrasil MARCEL SARAIVA – MSARAIVA@NVIDIA.COM +55 11 966330057