NVIDIA Corporation (NASDAQ: NVDA) reported that its AI computing platform has outperformed its performance records in the latest round of MLPerf benchmark as it extends it lead on the industry’s benchmark measuring AI performance of hardware, software and services. NVIDIAA has improved on every test across all six application areas for data center and edge computing systems in the second version of MLPerf Inference. The tests cover growth areas in AI such as recommendation systems, natural language understand, speech recognition and medical imaging.
Many organizations are utilizing NVIDIA a100 Tensore Core GPU’s to take AI from research groups into daily operations. Financial Institutions are utilizing conversational AI to answer customer questions quickly as retailers are utilizing AI to keep shelves stocked while healthcare providers are using AI to analyze medical images more accurately to identify disease and save lives.
“We’re at a tipping point as every industry seeks better ways to apply AI to offer new services and grow their business,” said Ian Buck, general manager and vice president of Accelerated Computing at NVIDIA. “The work we’ve done to achieve these results on MLPerf gives companies a new level of AI performance to improve our everyday lives.”
NVIDIA A100 was introduced earlier this year and can provide almost the same performance as a 1,000 dual-socket CPU server that offer customers extreme cost efficiency when taking their AI recommender models from research to production.