ADAS and AD development (in accordance with ISO 26262, among other standards) places high demands on test hardware — as the SAE level increases, sensor raw data from cameras, lidar, and radar grows nearly exponentially.
High write speeds, computing power, and storage capacity are therefore a requirement, not an option.
InoNet offers scalable computing solutions for ADAS/AD in close collaboration with OEMs, Tier-1 suppliers, and universities — spanning in-vehicle data acquisition, HiL applications, and data evaluation for model training and AI inference.
and get an overview of our hardware solutions for data logging, Hardware-in-the-Loop, and our QuickTray ecosystem.
InoNet dataloggers capture every relevant sensor data source: speed, GPS, temperature, video, radar, lidar. Write rates of up to 28 GB/s and end-to-end hardware encryption are standard features, not optional extras. Scalable from a single test to an entire test fleet.
Measurements of individual modules and driver assistance systems
From compact, fanless single modules to active-cooled high-performance systems for complete test campaigns of driver assistance systems—all in a trunk-ready package built for -20° to 70° C. The goal remains the same: fast, reliable data straight from the vehicle.
Test and validation of Advanced Driver Assistance Systems (ADAS)
High data throughput for ADAS validation, intelligent processing right at the edge — compact and energy-efficient at the same time. In the high-performance range, the focus shifts from raw data acquisition to selective preprocessing in the vehicle, even before the data is transferred.
ADAS & Autonomous Driving Level 2-5; High-End Data Logging, AI Training, HiL Simulations
Maximum scalability – from AI-accelerated lab workflows to HiL simulations to fully autonomous truck fleets. With write rates of up to 28 GB/s, liquid-cooled GPU performance, and complex multi-HPC configurations, these high-end data loggers set the benchmark for write and read rates in the data logging segment.
Growing data volumes require a reliable infrastructure. At the heart of the system is our robust, hot-plug-capable QuickTray® system—supplemented by Bridge Devices, which store, process, and transfer sensor data between the vehicle, test systems, and the backend, thereby bridging the gaps between different systems. Integrated encryption ensures a secure, end-to-end data flow — from the vehicle to evaluation.
Universal hot-plug data medium for in-vehicle and shopfloor use
The QuickTray® is the physical foundation of the entire ecosystem: hot-plug capable, encryption-ready, with up to 240 TB of capacity and a write rates of 26 GB/s in the standardized 2×5.25″ format. Backward compatible with all previous generations — simple, fast, durable.
Universal storage extension for any datalogger architecture
The InoBay®-2U brings the entire QuickTray® ecosystem — write speed, hot-plug, hardware encryption — to any existing logger environment, including third-party solutions, with no new hardware investment required. Built for elevated temperatures, shocks, and vibrations in the vehicle, with SSD support up to 240 TB for long test drives and extensive AI training datasets.
From portable copy station to full shopfloor ingest infrastructure
InoGest® covers the entire QuickTray® data chain from the vehicle to the data lake — from the slim Copy-Station with up to 25 Gbit/s for field use and manufacturing, to the Copy-Server with four QuickTray® slots, 100 Gbit Ethernet, and 24/7 computing power. Pull the tray, insert it, done.
Our HiL systems mirror the real vehicle environment — control units are tested before the first test vehicle even hits the road. Same hardware foundation as our in-vehicle systems, same thermal characteristics, a shared spare parts pool.
19” servers — the lab mirror of your in-vehicle Car HPC
The InoHiL® series bridges the gap between the test vehicle and the simulation lab — same housing, same liquid-cooled GPU architecture as our in-vehicle Car-HPCs, just with an AC power supply for stationary operation. Optional QuickTray® slots enable direct workflows from the storage medium straight into simulation. Identical hardware in vehicle and lab means identical driver behavior, a shared spare parts pool, and significantly reduced qualification effort.
Blackwell-based compute for AI, machine vision, and industrial workloads
Based on the NVIDIA® Blackwell architecture and enterprise-grade platforms designed for 24/7 continuous operation, the GPU server family offers the right configuration for every use case. Shallow depth, standard hardware, no automotive overhead: tailored for energy-efficient edge applications as well as computer vision, LLM inference, and industrial simulation.
Discover where our systems have proven themselves
Classic ADAS development based on real-world driving data collection is time- and cost-intensive — and reaches its limits in an increasingly complex development environment. HiL simulations complement it with realistic tests in a controlled environment, offering clear time and cost advantages alongside greater precision.
InoNet supports this transition with customized HiL solutions, optionally supplemented by QuickTray®-v3 for encrypted storage, transmission, and processing of sensitive data.
From 19″ systems to embedded PCs to IoT gateways — discover our complete product range for every industrial application. All systems at a glance—quickly find the right solution for your application.
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