![]() Here's how Forza Motorsport makes you fall in love with cars and build community through competition and skill. "We are proud of the SiMa.ai team's leadership in the latest MLPerf benchmark and excited to extend these latest improvements to our customers' real-world needs and use cases." ![]() Our team at SiMa.ai will persistently pursue performance per watt leadership and new standards in ease of use for the embedded edge market as part of our core DNA," said Krishna Rangasayee, CEO and founder, SiMa.ai. "Outperforming the industry leader not only once, but again for a second time is great validation for our technology. ![]() With frames per second per watt as the defacto performance standard for edge AI and ML, these results demonstrate SiMa.ai's pushbutton approach drives continued leadership in unrivaled power efficiency that does not compromise performance. Since the company's prior submission in April 2023, SiMa.ai achieved a 20 percent improvement in its results for Single Stream Resnet50 for performance and power, while exhibiting up to 85 percent greater Resnet50 MultiStream efficiency compared to NVIDIA. SiMa.ai participated in the MLPerf Inference 3.1 closed, edge, power division of this benchmarking process, focusing on the image classification benchmark Resnet50. SiMa.ai, the machine learning company delivering solutions for the embedded edge, today announced the results of its second MLPerf submission, outperforming industry ML leader, NVIDIA's Orin NX and AGX Orin in the Closed Edge power category in the MLCommons ML Perf 3.1 benchmark.
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