Summary: SiMa.ai has achieved remarkable performance in the MLPerf Inference 3.1 closed, edge, power division, surpassing industry leader NVIDIA's Orin NX and AGX Orin with a 20% improvement in performance/watt without any hardware changes. SiMa.ai has achieved remarkable performance in the MLPerf Inference 3.1 benchmark, surpassing industry leader NVIDIA with a 20% improvement in performance/watt without any hardware changes, demonstrating their commitment to innovation and delivering cutting-edge, performant, sustainable, and efficient solutions.
- SiMa.ai outperformed industry leader NVIDIA's Orin NX and AGX Orin.
- SiMa.ai achieved a 20% improvement in performance/watt without any hardware changes.
- SiMa.ai offers up to 10 times better performance at the lowest power consumption.
SiMa.ai, a machine learning company specializing in solutions for the embedded edge, has announced its impressive performance in the MLCommons ML Perf 3.1 benchmark. In the Closed Edge power category, SiMa.ai outperformed industry leader nVidia’s Orin NX and AGX Orin. This achievement was a result of SiMa.ai’s participation in the MLPerf Inference 3.1 closed, edge, power division, specifically focusing on the image classification benchmark Resnet50.
Compared to their previous submission in April 2023, SiMa.ai demonstrated a remarkable 20 percent improvement in performance and power for Single Stream Resnet50. Additionally, they exhibited up to 85 percent greater Resnet50 MultiStream efficiency compared to NVIDIA. These results are significant as frames per second per watt is the standard for measuring edge AI and ML performance.
SiMa.ai’s success in surpassing the industry leader for the second time is a testament to their technology. Krishna Rangasayee, CEO and founder of SiMa.ai, expressed his team’s commitment to maintaining leadership in performance per watt and ease of use for the embedded edge market. SiMa.ai aims to provide customers with unrivaled power efficiency without compromising performance.
SiMa.ai’s MLSoC (Machine Learning System on a Chip) and Palette software empower customers to effortlessly develop, test, fine-tune, and deploy highly optimized applications for the embedded edge. Their hardware and software have already set a new industry standard in embedded edge power efficiency, as demonstrated in their previous MLPerf submission in April 2023. In the latest round of benchmarking, SiMa.ai achieved a 20% improvement in performance/watt without any hardware changes, thanks to continuous performance enhancements in their pushbutton tools.
Looking ahead, SiMa.ai has an ambitious software roadmap that includes significant new features and further performance improvements. These advancements will enable customers to future-proof their production deployments.
SiMa.ai’s accomplishments in the MLPerf benchmarks highlight their commitment to innovation and growth. As they continue to advance their technology, SiMa.ai remains focused on delivering cutting-edge, performant, sustainable, and efficient solutions.
To learn more about how SiMa.ai can benefit your organization or to schedule a demo, visit their website at www.sima.ai or reach out to them at [email protected].
SiMa.ai is a machine learning company that has developed the industry’s first software-centric, purpose-built MLSoC platform. Their platform enables effortless deployment and scaling of machine learning at the embedded edge, offering up to 10 times better performance at the lowest power consumption. Initially focused on computer vision applications, SiMa.ai is led by a team of technologists and business veterans supported by top investors who are dedicated to helping customers integrate machine learning into their platforms.
About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.nVidia Website: https://www.nvidia.com
nVidia LinkedIn: https://www.linkedin.com/company/nvidia/
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