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Disrupting the New Age of Compute

Ascenium logo symbol
Ascenium logo symbol

Ascenium, headquartered in Norway, is led by a team of industry experts committed to addressing the key challenges in global data centers: compute efficiency and energy consumption.

Our journey is driven by a dedication to developing disruptive computing technology, aimed at shaping the future.

The Adaptability Approach

Ascenium draws inspiration from the diverse landscapes of Norway, where challenges like high mountains, narrow roads, and winter darkness are met with resilience. Our business approach blends preparedness with flexibility, encapsulating the Norwegian ethos of adaptability.

Backed by Norwegian shareholders with a proven track record of disruption in technology markets, Ascenium is steadfast in its commitment to innovation and excellence.

Jo Uthus
CEO
+47 473 80 634 E-mail LinkedIn

Jo Uthus is an experienced semiconductor executive who previously held CEO position of CrayoNano. He has spent several decades in various leadership positions in publicly listed US Semiconductor companies, including Atmel Corporation and Microchip Corporation. Additionally, he currently serves as an Ambassador for the European Innovation Council.

Ascenium Øyvind Harboe
Øyvind Harboe
VP of Software Engineering
E-mail LinkedIn

Øyvind Harboe brings his engineering management expertise and leadership to the Ascenium team. In addition to his broad software and hardware experience, Øyvind has extensive experience in microprocessor toolchain development, including GCC backends.

– Leading a paradigm shift means having one foot in the present and the other in the future. I’m fortunate to share this journey with the best team.
Jo Uthus | CEO
– Leading a paradigm shift means having one foot in the present and the other in the future. I’m fortunate to share this journey with the best team.
Jo Uthus | CEO

– We created Ascenium to challenge traditional chip design, aiming to solve the fundamental challenge of reducing energy consumption while maintaining compute efficiency for data center applications.