Intel Shows Strong AI Inference Performance
Today, MLCommons published results of its MLPerf Inference v3.1 performance benchmark for GPT-J, the 6 billion parameter large language model, as well as computer vision and natural language processing models. Intel submitted results for Habana Gaudi 2 accelerators, 4th Gen Intel Xeon Scalable processors, and Intel Xeon CPU Max Series. The results show Intel's competitive performance for AI inference and reinforce the company's commitment to making artificial intelligence more accessible at scale across the continuum of AI workloads - from client and edge to the network and cloud.
"As demonstrated through the recent MLCommons results, we have a strong, competitive AI product portfolio, designed to meet our customers' needs for high-performance, high-efficiency deep learning inference and training, for the complete spectrum of AI models - from the smallest to the largest - with leading price/performance." -Sandra Rivera, Intel executive vice president and general manager of the Data Center and AI Group
"As demonstrated through the recent MLCommons results, we have a strong, competitive AI product portfolio, designed to meet our customers' needs for high-performance, high-efficiency deep learning inference and training, for the complete spectrum of AI models - from the smallest to the largest - with leading price/performance." -Sandra Rivera, Intel executive vice president and general manager of the Data Center and AI Group