Customer Solution: Mid-Size Car HPC for Smart Logging

Reduced data volume through intelligent preprocessing directly in the vehicle

Customer

Automobile manufacturer

Locations

International

Employees

5000 – 10 000

Challenges

As part of an ADAS development project, an in-vehicle system for capturing and preprocessing multiple high-resolution camera, sensor, and Ethernet data streams will be developed. Large volumes of data from various vehicle systems must be processed in parallel and reliably recorded during extended test drives.

A key challenge is to stop permanently storing all raw data unfiltered. Instead, relevant information should be preprocessed, compressed, and selectively stored already during the drive in order to reduce storage requirements, data transfer effort, and downstream analysis times.

In addition, power consumption and available installation space inside the vehicle play an important role. With the increasing adoption of Smart Logging and Edge Data Reduction, a distinct use case has emerged that places specific demands on form factor, energy efficiency, and interface density. InoNet has strategically expanded its portfolio to include a platform that specifically addresses this segment—without compromising on computing performance or data storage connectivity.

The goal is therefore to create a platform that combines high computing performance, flexible networking capabilities, and high-performance data storage within a more compact and efficient system architecture — specifically for smart logging and edge data reduction in vehicles.

Solution

With the Mayflower®-Q5aW-SP6, InoNet offers a mid-size Car HPC platform specifically designed for modern automotive data logging applications. Based on the AMD® EPYC™ 8000 Series, the platform combines high computing performance with energy-efficient operation at a power consumption of up to 600 W.

With up to 20 Ethernet ports, the system supports the connection of multiple parallel data sources as well as complex in-vehicle networks in modern ADAS test environments. This allows various camera, sensor, and Ethernet data streams to be captured centrally and processed directly within the vehicle.

The system is equipped with an integrated QuickTray®-v3 for high-performance data storage. In combination with a PCIe RAID controller, this allows the implementation of a powerful storage architecture capable of sustaining high continuous data rates of up to 26 GB/s.

Since the system is designed for extended test drives under heavy continuous workloads, it also features liquid cooling. This ensures stable operation in the vehicle even at elevated ambient temperatures of up to 50°C and under heavy system load.

Customer benefits

By using the Mayflower®-Q5aW, relevant data can be preprocessed directly inside the vehicle. This significantly reduces the volume of data that must be permanently stored, thereby lowering storage requirements as well as transfer and analysis efforts.

At the same time, the selective processing of recorded data enables faster identification of relevant events after test drives. This simplifies downstream data analysis and supports more efficient development and validation processes in the ADAS field.

The system also offers advantages at the hardware level: compared to conventional full-size Car HPC systems, it reduces power consumption and simplifies vehicle integration. The smart mid-size form factor requires up to 47% less installation space while also reducing thermal load inside the vehicle.

In addition, the high interface density provides sufficient capacity for complex test setups involving multiple synchronized data sources and Ethernet-based vehicle systems. Liquid cooling also ensures stable continuous operation during extended test drives under demanding environmental conditions.

Another key advantage is the integrated QuickTray®-v3, which offers high storage capacity of up to 240 TB combined with a high write rate of up to 26 GB/s, thereby reliably handling even data-intensive test cycles. Its seamless integration into the InoNet QuickTray® ecosystem also enables fast and efficient data exchange between the test vehicle and the copy station, significantly accelerating data evaluation and handover processes.

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