MulticoreWare and Qualcomm to show real-time cloud-to-car AI workflow for smarter vehicle systems at CES 2026
Press Release, 5 January 2026
At CES 2026 in Las Vegas, software specialist MulticoreWare teamed up with Qualcomm to showcase a cutting-edge cloud-to-car artificial intelligence development workflow designed to speed up how advanced driver-assistance systems (ADAS) and future autonomous features are built and tested. The live demonstration highlighted how automakers and Tier-1 suppliers can now develop, optimize and validate complex AI models in the cloud before pushing them down to the vehicle, thanks to the seamless integration between Qualcomm AI Hub, the Qualcomm Cloud AI 100 (QCR100) instance, and MulticoreWare’s AI toolchains. This approach allows engineers to test perception, planning and sensor fusion workloads virtually, reducing costly hardware dependencies and shortening development cycles for software-defined vehicles (SDVs).
Central to the demo was the use of AI model quantization, where MulticoreWare converted detailed ADAS perception models from high-precision formats (FP32) to highly efficient, lower-precision formats (INT8/INT16) using Qualcomm’s AIMET tools. This optimization process ensures that the AI models run efficiently and accurately on Qualcomm’s automotive-grade processors once deployed in real cars, while still achieving performance levels expected for real-world driving conditions. The workflow also leverages cloud-based QCR100 accelerator instances, giving developers globally accessible computing power to refine and validate AI models without needing onsite hardware.
Executives from both MulticoreWare and Qualcomm emphasized how this collaboration empowers vehicle makers to rapidly onboard custom AI models, integrate them into scalable continuous integration and deployment (CI/CD) pipelines, and accelerate time-to-market for new features. Automakers can now tap into a growing library of optimized AI models on the Qualcomm AI Hub, allowing for quicker iteration and more robust validation before software hits the road. As the auto industry shifts toward increasingly intelligent and software-driven vehicles, workflows like this cloud-to-car pipeline are poised to play a key role in efficient development and deployment of next-generation mobility technologies.
Compiled using AI
