Technology, Process and Cost
Nvidia ORIN Automotive SoC
By Yole SystemPlus —
Full analysis of the NVIDIA ORIN Automotive SoC. This advanced SoC supports vehicle autonomy and robotic machines
Key Features
- Company profile
- Automotive market analysis
- Detailed photos
- Precise measurements
- Front-end structural analysis with SEM
- Back-end structural analysis with CT-scan
- Floor plan
- Materials analysis
- Manufacturing process flow
- Supply chain examination
- Manufacturing cost analysis
What’s new
- One of the most popular automotive SoCs used for ADAS central system.
- Several Chinese vehicle manufacturers also implement this SoC in their cars, e.g., XPeng, NIO.
- Understanding of the supply chain, technology node.
- This SoC is not only used as an automotive processor but also integrated into robotic machines (industry).
- Ambarella
- Audi
- Blaize
- Cambricon
- Hailo
- HiSilicon
- Horizon Robotic
- Huawei
- Hyundai
- Jaguar
- Mobileye
- Mercedes-Benz
- NIO
- NVIDIA
- NXP
- Quadric
- Qualcomm
- Renesas
- Samsung
- SemiDrive
- Siengine Technology
- STMicroelectronics
- Indie
- Infineon
- Intel
- TESLA
- TI
- TOSHIBA
- Samsung
- Volvo
- XILINX
- XPeng
Overview/Introduction
- Executive Summary
- Product Specification
- Reverse Costing Methodology
- Glossary
Company Profile
- Company Profile
- NVIDIA ADAS Solution
- Market Analysis
Physical Analysis
- Summary
- Analysis Methodology
- Packaging Assembly
- SoC Die
- Floor Plan
Manufacturing Process Flow Analysis
- Wafer Front-End Fabrication Unit
- SoC Die Process
- Back-End 0
- Assembly Unit
Cost Analysis
- Summary
- Yields Explanation & Hypotheses
- Front-End Wafer Cost
- SoC Die Cost
- Packaging Cost
- Component Cost
Selling Price
- Definitions of Price
- Manufacturer Financials
- Estimated Selling Price
Feedback
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About Yole Group
Both the growing number of sensors in cars and the growing need for ADAS and autonomy functions are pushing the car architecture toward more centralisation, which require to have an ADAS domain controller with a powerful SoC. By 2027 we estimate than around 5% of car shipped will have this centralized architecture.
This full reverse costing study has been conducted to provide insight on the technology data, manufacturing cost, and selling price of the NVIDIA Orin Automotive SoC.
As one of the most powerful fabless companies in the semiconductor industry, NVIDIA develops diverse products spanning gaming and professional vitalization to data center and automotive, providing both innovative solutions and high-performance hardware. With its robust capability of chip design, NVIDIA started to release several SoCs for ADAS from 2015 and has enjoyed partnerships with many big vehicle manufacturers since then.
In 2022, the ORIN SoC was officially released. This powerful chip consists of 17 billion transistors and delivers 200 TOPS. The SoC supports not only NVIDIA DRIVE as a central computing platform for EV, but also the Jetson AGX Orin Module embedded in robotic machines. As to the ADAS perspective, the Orin SoC aims at providing safe automated driving and L2 - L5 autonomy while achieving ISO 26262 ASIL-D. According to NVIDIA, the ORIN SoC has been used by several popular car brands to upgrade their autonomous performance and consequently enhance safety.
To reveal the details of the NVIDIA Orin SoC, this report features multiple analyses. One is a front-end construction analysis to reveal the key features of the Samsung 8nm process, and another is a back-end construction analysis for packaging structure. This report also includes a detailed study of the SoC die and its cross-sections. In addition, a complete analysis by using SEM and EDS cross-sections, material analyses, and delayering is included. Besides, CT-scan photos of the whole chip are shown, in order to have a general view of the SoC die package. Furthermore, the floor plan of the SoC die is presented in order to provide a clear view of IP blocks. Lastly, this report furnishes a complete cost analysis and a selling price estimation of the NVIDIA ORIN automotive SoC.
