Untether AI, the leader in energy-centric AI inference acceleration, announced that it has joined MLCommons, an AI industry engineering consortium created to accelerate machine learning innovation. Untether AI has long recognized and worked with the group’s widely acknowledged MLPerf benchmarks. With its membership, Untether AI is excited to contribute to MLCommons’ work in sharing state-of-the-art datasets and best practices for ML development. MLCommons’ MLPerf benchmarks provide the industry a fair and balanced accounting of the strengths and weaknesses of AI compute architectures. These benchmarks, widely embraced by ML developers, represent a variety of artificial intelligence workloads, from recommendation engines and vision networks to transformers. Untether AI’s energy-centric AI acceleration solution supports these types of neural network architectures.
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“MLCommons is delighted to welcome Untether AI into our consortium”
“We have been focused on providing benchmark information for our customers, and have performed hundreds of benchmarks to date,” said Arun Iyengar, CEO of Untether AI. “Thanks to our growth, we have now reached a stage where we can continue to leverage these benchmarks to drive our customers’ success, but we can also contribute to the AI community at the same time. We at Untether AI firmly believe that the growth of any transformative application space requires a robust ecosystem.”
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“MLCommons is delighted to welcome Untether AI into our consortium,” said David Kanter, Executive Director of MLCommons. “Untether AI’s unique energy-centric compute architecture provides a compelling direction, and we are excited to see the results in the industry standard MLPerf benchmarks.
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