The requirements for an intelligent driving IPC configuration depend on a variety of factors, including vehicle type, level of autonomous driving, system architecture, data processing requirements, and future scalability considerations. Below, we will discuss some basic requirements and recommended configurations of intelligent driving industrial computer configuration from both hardware and software aspects. 

Hardware configuration requirements 

1. Processor (CPU) : Intelligent driving industrial computer needs to process a large number of sensor data, image recognition, path planning and other tasks, so it needs a high-performance CPU. Considering future scalability and upgradeability, it is recommended to choose a multi-core processor, such as Intel's Xeon series or AMD's EPYC series. These processors have high computing power and extended slots to meet the growing computing needs of intelligent driving systems. 

2. Memory (RAM) : Memory is a key component of the industrial computer to run programs and process data. For intelligent driving systems, large amounts of sensor data, map information and path planning data need to be accessed quickly. Therefore, it is recommended to choose a high capacity DDR4 memory and expand it appropriately according to the demand. In general, 32GB or 64GB of memory can meet the needs of most intelligent driving systems. 

3. Storage: Intelligent driving systems need to store a large amount of map data, sensor data and user data. Therefore, you need to select storage devices with high reliability and high capacity. SSDS are recommended because they have high read/write speed and good seismic performance to meet storage requirements. In addition, to meet the requirements of data backup and recovery, you are advised to configure RAID arrays or backup storage devices. 

4. Graphics Processor (GPU) : Intelligent driving systems need to perform a lot of image processing and deep learning calculations, which require higher GPU requirements. Choosing a high-performance GPU, such as NVIDIA's Tesla series or AMD's MI series, can improve your system's image processing and computing performance. 

5. Networking: Intelligent driving systems need to communicate with other vehicle systems, cloud servers, and other vehicles. Therefore, it is necessary to configure a variety of network interfaces, such as Ethernet interface, CAN interface, LIN interface, etc. At the same time, in order to meet the requirements of high-speed data transmission, it is recommended to select an industrial computer that supports gigabit or 10-gigabit Ethernet interfaces. 

6. Expansion Slots: Considering the future upgrade and expansion needs of intelligent driving systems, the industrial computer needs to have enough expansion slots. These slots can support the addition of additional devices such as processors, memory, storage, and network interfaces to meet the growing performance demands of the system. 

Software configuration requirements 

1. Operating system: The intelligent driving industrial computer needs to run a stable and reliable operating system, such as Linux or Windows Server. These operating systems have powerful task management, memory management and network management capabilities to meet the operational needs of intelligent driving systems. 

2. Intelligent driving software framework: Intelligent driving system needs a complete software framework to manage and coordinate various functional modules. These frameworks usually include sensor data processing, path planning, decision control and other modules. Choosing a mature and reliable intelligent driving software framework can improve the stability and performance of the system. 

3. Computational libraries and toolkits: Intelligent driving systems need to use various computational libraries and toolkits to achieve image processing, deep learning, path planning and other functions. These libraries and toolkits need to support multiple programming languages and hardware platforms to meet the development needs of the system. 

To sum up, the configuration requirements of intelligent driving industrial computer are high and need to meet a variety of hardware and software requirements. In practical applications, it is necessary to comprehensively consider factors such as vehicle type, autonomous driving level and system architecture, and select the appropriate hardware configuration and software framework to ensure the stability and performance of the intelligent driving system. At the same time, with the continuous development and upgrading of technology, it is also necessary to constantly adjust and optimize the configuration of industrial computer to meet the needs of future intelligent driving systems.