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ALISON B LOWNDES
AI DevRel | EMEA
@alisonblowndes
November 2020
2
ADDRESSING (some of) HUMANITY’S GREATEST PROBLEMS
NVIDIA MAXINE
Early Access at developer.nvidia.com/maxine
NVIDIA AMPERE — A GIANT LEAP
GeForce RTX
3090
3080
3070
5
Exploding Model Size
Driving Accuracy
2017 2018 2019 2020 2021
GPT-3
175 Bn
2017 2018 2019 2020
Turing-NLG
17 Bn
BERT
340 M
Transformer
65 M
GPT-2 8B
8.3 Bn
#Parameters(Logscale)
2010 2015 2020 2025
175
Zettabytes
58
Zettabytes
Big Data Growth
90% of the World’s Data in last 2 Years
EXPLODING DATA AND MODEL SIZE
Growth In Scientific Data
Fueled by Accurate Sensors & Simulations
287 TB/day
ECMWF
393 TB
COVID-19 Graph Analytics
16 TB/sec
SKA
550 TB
NASA Mars Landing Sim.
Source for Big Data Growth chart: IDC – The Digitization of the World (May, 2020)
6
TODAY’S AI
DATA CENTRE
50 DGX-1 systems for AI training
600 CPU systems for AI inference
$11M
25 racks
630 kW
7
5 DGX A100 systems for AI training
and inference
$1M
1 rack
28 kW
1/10th
COST
1/20th
POWER
$1M 28 kW
DGX A100
DATA CENTER
8
NVIDIA SELENE
Now Featuring NVIDIA DGX A100 640GB
4,480 A100 GPUs
560 DGX A100 system
850 Mellanox 200G HDR switches
14 PB of high-performance storage
2.8 EFLOPS of AI peak performance
63 PFLOPS HPL @ 24GF/W
9
EARTH-SYSTEM MODELS
Long-wave and short-wave radiation
Cloud macro and micro-physics
Deep and shallow convection
Planetary boundary layer
Turbulent mountain stress
Gravity wave drag
Surface fluxes
Aerosols
Chemistry
Simulating the Earth
LARGE SCALE
DYNAMICS
SMALL SCALE
PHYSICS
Rotational Fluid Dynamics,
Confined to Sphere
Compressible Atmosphere
Chaotic Internal Variability
1010
12
13
14
15
16
BLACK & WHITE
Key ”Key decisions
and investments
are needed in the
next 12 months”
David Jensen, UN
Orbital
Sidekick
NVIDIA
Jetson
Xavier “NX”
21TOPS (INT8) at 15w
8GB LPDDR4x
16GB eMMC
Supports up to 32x
1080p IP cameras
70x45mm
Module
Developer kit
22
AI TOOLKITS & SDKsCONTAINERS TRAINED MODELS HELM CHARTS
100+ 30+ ML, InferenceEnd-to-End AI Workflows
NGC Catalog
ON-PREMCLOUD EDGEHYBRID CLOUD
x86 | ARM | POWER
NGC – ACCELERATING TIME TO SOLUTION
https://ngc.nvidia.com
INDUSTRY APP FRAMEWORKS
Curated Software Assets
COLLECTIONS
https://arxiv.org/pdf/1909.13371.pdf
METAVERSES
25
PHYSICS IN USD + KIT
26
28
END-TO-END GPU RL
Grasping Robot Use Case
28
29
30
31
32
RICH
CONTENT
PORTFOLIO
Fundamentals and advanced
hands-on training in key
technologies and application
domains
AI for
Digital Content Creation
Deep Learning
Fundamentals
AI for HealthcareAI for Autonomous Vehicles
AI for
Intelligent Video Analytics
Accelerated Computing
Fundamentals
AI for Robotics
AI for
Predictive Maintenance
Accelerated Data Science
Fundamentals
Intro to AI in the Data
Center
AI for Anomaly Detection
AI for Industrial Inspection
THANK YOU
alowndes@nvidia.com

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Talk on using AI to address some of humanities problems

  • 1. ALISON B LOWNDES AI DevRel | EMEA @alisonblowndes November 2020
  • 2. 2 ADDRESSING (some of) HUMANITY’S GREATEST PROBLEMS
  • 3. NVIDIA MAXINE Early Access at developer.nvidia.com/maxine
  • 4. NVIDIA AMPERE — A GIANT LEAP GeForce RTX 3090 3080 3070
  • 5. 5 Exploding Model Size Driving Accuracy 2017 2018 2019 2020 2021 GPT-3 175 Bn 2017 2018 2019 2020 Turing-NLG 17 Bn BERT 340 M Transformer 65 M GPT-2 8B 8.3 Bn #Parameters(Logscale) 2010 2015 2020 2025 175 Zettabytes 58 Zettabytes Big Data Growth 90% of the World’s Data in last 2 Years EXPLODING DATA AND MODEL SIZE Growth In Scientific Data Fueled by Accurate Sensors & Simulations 287 TB/day ECMWF 393 TB COVID-19 Graph Analytics 16 TB/sec SKA 550 TB NASA Mars Landing Sim. Source for Big Data Growth chart: IDC – The Digitization of the World (May, 2020)
  • 6. 6 TODAY’S AI DATA CENTRE 50 DGX-1 systems for AI training 600 CPU systems for AI inference $11M 25 racks 630 kW
  • 7. 7 5 DGX A100 systems for AI training and inference $1M 1 rack 28 kW 1/10th COST 1/20th POWER $1M 28 kW DGX A100 DATA CENTER
  • 8. 8 NVIDIA SELENE Now Featuring NVIDIA DGX A100 640GB 4,480 A100 GPUs 560 DGX A100 system 850 Mellanox 200G HDR switches 14 PB of high-performance storage 2.8 EFLOPS of AI peak performance 63 PFLOPS HPL @ 24GF/W
  • 9. 9 EARTH-SYSTEM MODELS Long-wave and short-wave radiation Cloud macro and micro-physics Deep and shallow convection Planetary boundary layer Turbulent mountain stress Gravity wave drag Surface fluxes Aerosols Chemistry Simulating the Earth LARGE SCALE DYNAMICS SMALL SCALE PHYSICS Rotational Fluid Dynamics, Confined to Sphere Compressible Atmosphere Chaotic Internal Variability
  • 10. 1010
  • 11.
  • 12. 12
  • 13. 13
  • 14. 14
  • 15. 15
  • 17. Key ”Key decisions and investments are needed in the next 12 months” David Jensen, UN
  • 18.
  • 20.
  • 21. NVIDIA Jetson Xavier “NX” 21TOPS (INT8) at 15w 8GB LPDDR4x 16GB eMMC Supports up to 32x 1080p IP cameras 70x45mm Module Developer kit
  • 22. 22 AI TOOLKITS & SDKsCONTAINERS TRAINED MODELS HELM CHARTS 100+ 30+ ML, InferenceEnd-to-End AI Workflows NGC Catalog ON-PREMCLOUD EDGEHYBRID CLOUD x86 | ARM | POWER NGC – ACCELERATING TIME TO SOLUTION https://ngc.nvidia.com INDUSTRY APP FRAMEWORKS Curated Software Assets COLLECTIONS
  • 26. 26
  • 27.
  • 28. 28 END-TO-END GPU RL Grasping Robot Use Case 28
  • 29. 29
  • 30. 30
  • 31. 31
  • 32. 32 RICH CONTENT PORTFOLIO Fundamentals and advanced hands-on training in key technologies and application domains AI for Digital Content Creation Deep Learning Fundamentals AI for HealthcareAI for Autonomous Vehicles AI for Intelligent Video Analytics Accelerated Computing Fundamentals AI for Robotics AI for Predictive Maintenance Accelerated Data Science Fundamentals Intro to AI in the Data Center AI for Anomaly Detection AI for Industrial Inspection