Automotive HPC Chip Comparison: Comprehensive Guide to High-Performance Computing Chips (Q3/2025)

This interactive comparison table provides an in-depth overview of leading high-performance computing (HPC) chips used in automotive applications. Explore key aspects such as performance (TOPS), process nodes, power consumption, integrated cores (ARM, GPUs, NPUs), accelerators, functional safety levels (ASIL), AEC-Q100 compliance, and automotive brand integrations. Data is sourced from official vendor documentation and industry reports as of September 2025. Use the checkboxes below to customize columns and focus on specific chip vendors like NVIDIA, Mobileye, Qualcomm, and more. This resource is ideal for automotive engineers, developers, and researchers evaluating HPC chips for ADAS, autonomous driving, and infotainment systems.

Key Highlights: Compare performance metrics, safety certifications (ISO 26262 ASIL levels), and integration with automotive brands. All data is up-to-date for 2025 releases.

How to Use

Customize your view of the HPC chip comparison table using the checkboxes above the table. Here's how:

Experiment with these options to focus on the data most relevant to your needs, such as performance or safety features.

Select Columns to Display:

Data Accuracy and Disclaimer

All data presented on this page, including information about high-performance computing chips and automotive integrations, has been researched with the highest level of accuracy using authoritative sources, such as official vendor documentation and industry standards, as of September 17, 2025. We strive to ensure the information is current, reliable, and relevant for automotive and embedded systems applications.

However, we do not provide any warranty, express or implied, regarding the accuracy, completeness, or suitability of the information for any particular purpose. The data is subject to change due to evolving technologies, vendor updates, or unforeseen discrepancies. Users are encouraged to verify details with official sources or contact vendors directly for the most up-to-date information before making decisions based on this content.

Contact for Corrections and Improvements

We value feedback to maintain the quality and accuracy of our content. If you have corrections, suggestions for improvements, or additional information regarding high-performance computing chips or automotive integrations, please contact us at info@viable.works. Your input helps us enhance our resources for the community.

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