Case Overview
In real-world deployment of autonomous driving systems,hardware is critical for fast and accurate date and image processing.With the rapid advancement of autonomous driving technologies,market requirements for hardware continue to rise.High-end autonomous driving systems demand exceptional processing performance and graphics rendering capabilities to enable swift,reliable driving decisions.Meanwhile,as autonomous driving use cases expand,higher standards are imposed on device portability and thermal and thermal performance.
Objectives and Challenges
As one of the core hardware components in autonomous driving systems,the GPU undertakes image processing and rendering tasks for the system.GPU performance directly determines the real-time capability,accuracy and stability of autonomous driving systems.Therefore,high-end autonomous driving systems impose the following requirments on GPUs:
1.Autonomous driving systems need to process massive sensor data and image information in real time, requiring GPUs with powerful computing capability and high throughput to meet system real-time requirements.
2.Graphics Rendering Accuracy: To support accurate driving decisions, the GPU must deliver high-precision graphics rendering and guarantee accurate, real-time image processing.
3.Stability and Reliability: Autonomous driving systems must operate without failures, placing stringent requirements on GPU stability and reliability for operation in diverse complex environments.
4.Compactness and Thermal Performance: As autonomous driving systems achieve higher integration levels, stricter requirements are placed on GPU dimensions and thermal performance to meet system demands for device compactness and durability.
5.Cost and Scalability: Customers aim to minimize GPU costs while maintaining performance and reliability. The GPU should offer good scalability to accommodate future technology upgrades and expansion requirements.
ZRT Solution Advantages
To address the above challenges,ZRT Technology has supplied high-performance MXM GPUs for the customer’s automer’s driving systems:MM3080TIB6-16G 。This GPU adopts the NVIDIA GeForce RTX3080Ti Mobility chip, equipped with 16GB 256-bit GDDR6 large-capacity video memory. It features 7424 stream processors and delivers powerful single-precision floating-point performance of 19954 GFLOPS. In addition, the GPU follows the Type B form factor (105×82 mm) and comes with 4 DP display interfaces.
MM3080TIB6-16G boasting robust computing power and high throughput, this GPU meets the high-performance computing requirements of autonomous driving systems. Its large-capacity VRAM provides sufficient memory support for graphics rendering, enabling the system to process large-scale image data and high-resolution textures. In addition, the GPU features 4 DisplayPort interfaces to support multi-screen interaction and high-definition video output. With a Type B form factor, it can be easily integrated into embedded systems of various specifications. It also delivers efficient thermal design, low power consumption and energy-saving performance. Easy integration and scalability offer solid assurance for the stable operation of autonomous driving systems.
MM3080TIB6-16G delivering high-performance computing, high stability and excellent thermal performance, this GPU enables autonomous driving systems to achieve remarkable gains in data processing speed, system stability and device compactness. It effectively improves system reliability under diverse operating environments, supports rapid driving decision-making, and enhances driving safety and comfort. Powered by ZRT high-compute MXM GPUs, the solution ignites the engine for autonomous driving dreams, injecting stronger computing power into the system and helping us move toward a new era of safer and more convenient mobility.
