LENZO Featured on ReHacQ: Challenging NVIDIA with a 150x Energy Efficiency Vision (Updated to include part 1 & 2)

Updated to include both parts of this feature, part 1 and part 2 youtube links are linked below


LENZO Co-Founders Kenshin Fujiwara and Yasuhiko Nakashima recently joined ReHacQ to discuss how a Japanese startup can challenge the NVIDIA era — not by scale, but by rethinking compute architecture from the ground up.


The conversation dives into LENZO’s CGLA-based approach, its focus on performance-per-watt, and the potential for up to 150x energy efficiency improvements in targeted workloads - positioning power efficiency, controllability, and real-world deployability as the next competitive frontier in AI infrastructure.


Press the video links below to view each part of this feature.


Part 1:

Part 2:

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Whether you’re exploring robotics, advanced perception, autonomous systems, or next-generation edge infrastructure, we’d love to learn more about your application.

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Whether you’re exploring robotics, advanced perception, autonomous systems, or next-generation edge infrastructure, we’d love to learn more about your application.

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