AVCC and MLCommons Join Forces to Develop an Automotive Industry Standard Machine Learning Benchmark Suite
SAN JOSE, Calif. and SAN FRANCISCO, May 17, 2023 /PRNewswire-PRWeb/ -- AVCC®, a global autonomous vehicle (AV) consortium that specifies and benchmarks solutions for AV computing in the automotive industry and MLCommons®, an open, global engineering consortium dedicated to making machine learning (ML) better for everyone, are announcing the industry's first Automotive Benchmark to take specifications and benchmarks and move them through to open-source software and certification. Initial participation in the benchmark includes Arm (co-chair), Bosch, cTuning Foundation, KPIT, NVIDIA, Red Hat, Qualcomm, Inc. (co-chair), Samsung Electronics, and other industry leaders.
- The goal of the partnership is to develop an industry-standard Automotive Benchmark Suite for use by OEMs and automotive suppliers using AI/ML Deep Neural Network (DNN) technology.
- The Suite will build upon the AVCC AI/ML Benchmark Technical Reports and the MLPerf™ benchmark suites developed by MLCommons.
- "We are excited to bring our expertise in machine learning to the automotive industry, working together with the AVCC," said David Kanter, executive director of MLCommons.
- The Automotive Benchmark initiative seeks input from all AVCC and MLCommons members, along with other industry players.