+ All Categories
Home > Documents > AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting...

AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting...

Date post: 25-Jun-2020
Category:
Upload: others
View: 0 times
Download: 0 times
Share this document with a friend
15
Danny Shapiro | Senior Director, Automotive AI IN THE DRIVER’S SEAT
Transcript
Page 1: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

Danny Shapiro | Senior Director, Automotive

AI IN THE DRIVER’S SEAT

Page 2: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

SAFE HARBORForward-Looking Statements

Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our

growth; our market opportunities; the performance, impact and benefits of our products and technologies, artificial intelligence, the AI

revolution, and driving miles in VR; everything that moves being autonomous; driving billions of miles in VR; our strategies; market trends;

future financial results, estimates and forecasts; and other predictions and estimates are forward-looking statements within the meaning of the

Private Securities Litigation Reform Act of 1995. These forward-looking statements and any other forward-looking statements that go beyond

historical facts that are made in this presentation are subject to risks and uncertainties that may cause actual results to differ materially. These

forward-looking statements and any other forward-looking statements that go beyond historical facts that are made in this presentation

are subject to risks and uncertainties that may cause actual results to differ materially. Important factors that could cause actual results

to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our

products; the impact of technological development and competition; development of new products and technologies or enhancements to

our existing products and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software

defects; changes in consumer preferences and demands; changes in industry standards and interfaces; unexpected loss of performance of

our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports

NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and

quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA

without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and,

except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or

circumstances.

Page 3: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

AI REVOLUTION

SENSORS

PERCEIVE REASON

PLAN

ACTUATORSDATA

DEV OPS

MODEL

DEVELOPING AI RUNNING AI

TESTINGTRAINING

© 2019 NVIDIA Corporation. All rights reserved.

Page 4: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

BRAIN OF AI

SENSORS

PLAN

ACTUATORSDATA

DEV OPS

MODEL

DEVELOPING AI RUNNING AI

PERCEIVE REASONTRAINING TESTING

© 2019 NVIDIA Corporation. All rights reserved.

Page 5: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

EVERYTHING THAT MOVES WILL BE AUTONOMOUS

Cars Robotaxis Trucks

Delivery Vans Buses Tractors

© 2019 NVIDIA Corporation. All rights reserved.

Page 6: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

WHAT A HUMAN SEES

© 2019 NVIDIA Corporation. All rights reserved.

Page 7: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

WHAT THE AI SEES

One slide explanation of what DNNs are and how

they work, highlighting relevance of matrix

multiplication

© 2019 NVIDIA Corporation. All rights reserved.

Page 8: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

SIMULTANEOUS DEEP NEURAL NETWORKS

© 2019 NVIDIA Corporation. All rights reserved.

Page 9: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

VIRTUAL TEST FLEET IN THE CLOUD

Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions

Simulate previous failure scenarios | Cloud-based workflow | Open platform

© 2019 NVIDIA Corporation. All rights reserved.

Page 10: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

VIRTUAL TEST FLEET IN THE CLOUD

© 2019 NVIDIA Corporation. All rights reserved.

Page 11: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

DRIVE BILLIONS OF MILES IN VR

Faster | Safer | Greater Control | More Efficient

© 2019 NVIDIA Corporation. All rights reserved.

Page 12: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

END-TO-END AV SOLUTION

DGX DRIVE Constellation DRIVE AGX

CUDA-X DRIVE AV / DRIVE IXDRIVE SIM

© 2019 NVIDIA Corporation. All rights reserved.

Page 13: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

DRIVE OPEN PLATFORM ECOSYSTEM

CARS TRUCKS

MOBILITY

SERVICES AI ISVs SIMULATIONMAPPING SENSORSTIER 1s

Page 14: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

© 2019 NVIDIA Corporation. All rights reserved.

VALIDATIONTRAINING / DEV

3 GROWTH OPPORTUNITIES$30B by 2025

Lanes Lights

Path

Signs

PedestriansCars

DRIVE AP2X L2+ AutoPilot, L3/L4, Robotaxis

2 Computer Opportunities – AV & Cockpit

$25B TAM by 2025L2+ AutoPilot (35M cars, 2 systems, $17B)

L3/L4 (5M cars = $5B)

Robotaxis (1M cars =$3B)

Millions of images per DNN

10+ DNNs per car

$3B TAM by 2025Collecting Data

Training Models

Mapping

Analyzing Data

Alternative solution to 100s of billions of driving miles for 100s of years

$2B TAM by 2025Simulation/HIL

Resimulation/SIL

Lanes Lights

Path

Signs

PedestriansCars

DRIVING

Page 15: AI IN THE DRIVER’S SEAT · Millions of images per DNN 10+ DNNs per car $3B TAM by 2025 Collecting Data Training Models Mapping Analyzing Data Alternative solution to 100s of billions

nvidia.com/drive


Recommended