Subaru selects HPE Cray XD670 servers to accelerate AI development for next-generation EyeSight driver assist system
Subaru Corporation · Japan
Subaru selected HPE Cray XD670 servers, powered by eight NVIDIA H200 GPUs each, to run an on-premises AI development environment at SUBARU Lab, supporting AI-driven image recognition for its next-generation EyeSight driver assist system as part of a goal to eliminate fatal traffic accidents by 2030. The energy-efficient XD670 delivers twice the performance of Subaru's existing system, using direct liquid cooling, and ranked top in MLPerf Inference v5.0 benchmarks.
Overview
Subaru selected HPE Cray XD670 servers, powered by eight NVIDIA H200 GPUs each, to run an on-premises AI development environment at SUBARU Lab, supporting AI-driven image recognition for its next-generation EyeSight driver assist system as part of a goal to eliminate fatal traffic accidents by 2030. The energy-efficient XD670 delivers twice the performance of Subaru's existing system, using direct liquid cooling, and ranked top in MLPerf Inference v5.0 benchmarks.
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Inspect the highlighted sourceThe challenge
As part of its commitment to achieving zero fatal traffic accidents by 2030, Subaru needed to accelerate AI-driven image recognition for its next-generation EyeSight driver assist system, requiring greater computing power for its AI development environment to speed model training and inferencing.
The solution
Subaru selected HPE Cray XD670 servers, featuring direct liquid cooling and powered by eight NVIDIA H200 GPUs, to orchestrate its image recognition technology and AI, accelerating the optimization of AI algorithms, model training and inferencing for the next-generation EyeSight driver assist system. SUBARU Lab, established in December 2020, collects video data from driving on roads around the world and uses it to optimize AI algorithms and train inference models that run on the HPE Cray XD670 servers. Subaru also selected HPE Tech Care Service for expert support.
Reported business value
The energy-efficient HPE Cray XD670 delivers twice the performance compared to Subaru's existing system, giving an on-premises environment that maximizes GPU resource use and is expected to speed the development of Subaru's AI models. HPE Cray XD670 achieved top rankings in the MLPerf Inference v5.0 benchmarks.
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