NVIDIA Corporation Business Report FY ended Jan. 2020
Financial Overview |
(in USD millions) |
| FY ended Jan. 26, 2020 | FY ended Jan. 27, 2019 | Rate of change (%) | Factors | |
| Net Sales | 10,918 | 11,716 | (6.8) | 1) |
| Operating Income | 2,846 | 3,804 | (25.2) | - |
| Sales by market | ||||
| Automotive | 700 | 641 | 9.2 | 2) |
Factors
1) Net Sales
-The Company’s net sales in the fiscal year ended January 26, 2020 totaled USD 10,918 million, a decrease of 6.8% over the previous fiscal year. GPU business revenue was USD 9,470 million, down 7% from a year earlier. Tegra Processor business revenue - which includes Automotive, SoCs for gaming platforms, and embedded edge AI platforms - was USD 1,450 million, down 6% from a year earlier.
2) Automotive
-In the fiscal year ended January 26, 2020, the Company’s operations in the Automotive market had sales of USD 700 million, an increase of 9.2% over the previous year, reflecting growth in AI cockpit solutions and development services agreements.
Business Partnerships
-The Company has partnered for more than 370 organizations, including OEMs, suppliers, mapping companies and university research institutions.
| Collaborating company | Content | ||
| OEM | |||
| Isuzu Motors | Development of its next generation trucks equipped with advanced driver-assistance features and autonomous driving technologies using the NVIDIA DRIVE AGX platform | ||
| Yamaha Motor Co. | Adopting the Jetson AGX Xavier development system to power its upcoming lineup of autonomous machines, with plans introduce unmanned agriculture vehicles | ||
| Daimler | Adopted NVIDIA’s AI platform as part of its control unit network for automated driving and unmanned operation in urban areas | ||
| Mercedes-Benz | Utilizes the Company’s AI platform and GPUs in the Mercedes-Benz User Experience infotainment system for the Mercedes-Benz A-Class | ||
| VW | Cooperating in the field of deep learning, and adopting NVIDIA’s AI technology for automated driving of its new I. D. BUZZ model and a mini bus | ||
| Toyota | Plans to use the NVIDIA DRIVE AGX Xavier processor as the AI brain of its vehicles installed with the NVIDIA DRIVE PX autonomous driving system in its vehicles to be released from 2020. | ||
| Subaru | Targeting the introduction of vehicles with Level 2 or higher autonomous capability for highway driving by 2024, Subaru will incorporate NVIDIA’s AI technology to realize surrounding driving environment recognition, path planning, multiplexing, and intelligent vehicles. | ||
| Audi | Developed the Audi AI Traffic Jam, which is the world’s first system that enables Level 3 autonomous driving | ||
| Volvo | Utilizes Nvidia DRIVE in its “DRIVE Me” autonomous vehicle testing project in Gothenburg, Sweden | ||
| Chery | Utilizes ZF ProAI, powered by the Nvidia DRIVE platform to provide level 3 autonomous driving in its vehicles | ||
| Suppliers | |||
| Bosch | Adopted NVIDIA’s AI platform as part of its control unit network for autonomous driving and unmanned vehicles in urban areas using the NVIDIA DRIVE PX computer installed in its automated and autonomous driving systems | ||
| Pioneer | Made its 3D LiDAR sensors compatible with the NVIDIA DriveWorks software development kit for autonomous driving | ||
| Continental | Collaborating to develop self-driving vehicle solutions based on the NVIDIA AI car computer and the NVIDIA Drive platform for autonomous vehicle development | ||
| Infineon Technologies | The company's AURIX TC3xx microcontroller is expected to be adopted for NVIDIA’s DRIVE Pegasus on-board computing platform for Level 5 automated vehicles | ||
| ZF | Collaborating on the development of AI to be equipped in autonomous vehicles for mass production. NVIDIA provides its DRIVE PX solution to support image processing technology and driver-assistance systems jointly developed by ZF and HELLA. Cooperating on the development of AI systems as well as autonomous driving and automated driving systems for segments such as the transport industry as well as passenger vehicles and trucks. | ||
| HELLA | Collaboration in the development of AI to be equipped in passenger cars for mass production. NVIDIA provides its DRIVE PX solution to support image processing technology and driver-assistance systems jointly developed by ZF and HELLA. | ||
| Start-Ups | |||
| Uber | Adopted NVIDIA’s AI technology system for its fleet of autonomous vehicles | ||
| Uniti | Beginning with the NVIDIA DRIVE PX, the company's will equip its Uniti One pure EV with all of the equipment necessary for autonomous vehicles | ||
| Baidu | Collaboration in a wide range of fields that utilize AI for autonomous vehicles and cloud data centers. Baidu has adopted the NVIDIA DRIVE PX Platform and is cooperating with a number of major Chinese automobile manufacturers to develop autonomous vehicles. | ||
| Zenuity (Volvo & Autoliv joint venture) |
The JV will use NVIDIA's AI on-board computing platform to develop Level 4 autonomous vehicles by 2021, | ||
| DiDi | Will use NVIDIA GPUs in the data center for training machine learning algorithms and NVIDIA DRIVE for inference on its Level 4 autonomous driving vehicles. | ||
| Maps | |||
| Zenrin | Collaborative research on high definition map solutions for autonomous vehicles. Performs data processing using NVIDIA DRIVE PX 2 AI and NVIDIA DRIVE Works in mobile mapping vehicles, and the NVIDIA GPU and NVIDIA MapWorks for its data centers. | ||
| TomTom | Uses a combination of the NVIDIA DRIVE PX2 and AI for "cloud to car" services which can update cloud-based HD maps in real time. | ||
| HERE | Collaborating to develop the HERE HD Live Map through the use of the Company’s AI platform | ||
Contracts
-Informed that the Company has provided technology for MBUX intelligent cockpit for Mercedes-Maybach GLS SUV. The Mercedes-GLS AMG 63 and the Mercedes-GLE AMG 63 S will also feature MBUX. With these three latest additions, there are now nearly 20 Mercedes models including the all-electric EQC SUV equipped with MBUX, kickstarting the transition to more intelligent transportation. MBUX combines natural language processing, silky-smooth 3D graphics and an augmented reality boosted navigation system to bring new levels of intuitive interaction and safety to the vehicle. Mercedes-Benz uses NVIDIA technology in the infotainment system. The NVIDIA-powered system delivers all the information drivers need via a smooth, easy-to-understand interface spread across two 10.25-inch digital displays. The system understands verbal commands using AI-powered natural language processing, facilitating effortless interactions between the driver, passengers and the car. (From a Blog on November 22)
R&D Expenditure
|
(in USD millions) |
| FY ended Jan. 26, 2020 | FY ended Jan. 27, 2019 | FY ended Jan. 28, 2018 | |
| Total | 2,829 | 2,376 | 1,797 |
-The Company’s research and development expenditure in the fiscal year ended January 26, 2020 increased by 19.1% over the previous fiscal year, primarily due to an increase in the number of employees and other associated costs, including infrastructure costs and compensation expenses.
Product development
The NVIDIA DRIVE Constellation autonomous vehicle simulation platform
-The cloud-based platform enables millions of miles to be driven in virtual worlds across a broad range of scenarios - from routine driving to rare and dangerous situations - with greater efficiency, cost-effectiveness and safety than what is possible to achieve in the real world. The Company announced that Toyota Research Institute-Advanced Development (TRI-AD) is the first customer of DRIVE Constellation. DRIVE Constellation is an open platform into which ecosystem partners can integrate their environment models, vehicle models, sensor models and traffic scenarios. By incorporating datasets from the broader simulation ecosystem, the platform can generate comprehensive, diverse and complex testing environments. (From a press release on March 18, 2019)
Level 2+ automated driving system "NVIDIA DRIVE AutoPilot"
-The world’s first commercially available Level 2+ automated driving system, NVIDIA DRIVE AutoPilot, which integrates multiple breakthrough AI technologies to enable supervised self-driving vehicles will go into production in 2020. As a Level 2+ self-driving solution, NVIDIA DRIVE AutoPilot uniquely provides full self-driving autopilot capabilities, including highway merge, lane change, lane splits and personal mapping, as well as driver monitoring, AI copilot capabilities and advanced in-cabin visualizations. Continental and ZF have announced Level 2+ self-driving solutions based on NVIDIA DRIVE, with production starting in 2020. DRIVE AutoPilot integrates for the first time high-performance NVIDIA Xavier system-on-a-chip (SoC) processors and the latest NVIDIA DRIVE Software to process many deep neural networks (DNNs) for perception as well as complete surround camera sensor data from outside the vehicle and inside the cabin. DRIVE AutoPilot is part of the open, flexible NVIDIA DRIVE platform, which is being used by hundreds of companies to build autonomous vehicle solutions. The new Level 2+ system complements the NVIDIA DRIVE AGX Pegasus system that provides Level 5 capabilities for robotaxis. (From a press release on January 7, 2019)