NVIDIA revealed that it smashed performance records for its AI computing platform in the latest benchmark test rounds of MLPerf, , extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services. NVIDIA has won every test across all six application areas for data centre and edge computing systems in the second version of MLPerf Inference. The tests expand beyond the original two for computer vision to include four covering the fastest-growing areas in AI: recommendation systems, natural language understanding, speech recognition and medical imaging.
Organizations across a range of industries are already tapping into the Nvidia A100 Tensor Core GPU’s exceptional inference performance to take AI from their research groups into daily operations. . Financial institutions are using conversational AI to answer customer questions faster; retailers are using AI to keep shelves stocked; and healthcare providers are using AI to analyse millions of medical images to more accurately identify disease and help 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.”
Now, with NVIDIA’s AI platform available through every major cloud and data centre infrastructure provider, companies representing a wide array of industries are using its AI inference platform to improve their business operations and offer additional services. Additionally, For the first time, NVIDIA GPUs now offer more AI inference capacity in the public cloud than CPUs. Total cloud AI inference compute capacity on NVIDIA GPUs has been growing roughly 10x every two years.
NVIDIA and its partners submitted their MLPerf 0.7 results using NVIDIA’s acceleration platform, NVIDIA T4 Tensor Core GPU continues to be a solid inference platform for mainstream enterprise, edge servers and cost-effective cloud instances. NVIDIA said financial institutions are using AI to answer customer questions faster; retailers are using AI to keep shelves stocked; and healthcare providers are using AI to analyze millions of medical images to more accurately identify disease and help save lives.
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