We look forward to feedback as industry experts, academics and others interested in benchmarking system performance begin to use it.” “It is designed to emulate real-world examples of organizations that use a variety of production ready data science pipelines–including both AI and ML approaches–and is now widely available to anyone who would like to download and run it. “The TPCx-AI benchmark is the result of collaboration between talented engineers and researchers at some of today’s leading AI organizations,” said Hamesh Patel, Chair of the TPCx-AI committee and principal engineer at Intel Corporation. TPCx-AI makes use of a diversified dataset and was created with the goal of being flexible to a wide array of scale factors. TPCx-AI is the first of its kind industry-standard, vendor-neutral benchmark for assessing real-world, end-to-end AI and ML scenarios and data science use cases. To achieve this feat, Transaction Processing Performance Council (TPC), a non-profit corporation, recently launched its artificial intelligence benchmark (TPCx-AI). TPCx-AI makes use of a diversified dataset and was created with the goal of being flexible to a wide array of scale factors.įREMONT, CA: Industry users are often required to be nourished with relevant, objective performance data.
