Technology


Strategic cooperation to focus on developing EU-sovereign rack scale AI compute platform


European fabless designer of CPUs, SiPearl, and computing company, Semidynamics, are joining forces in developing a European rack scale compute platform dedicated to advanced AI inference in the cloud. SiPearl’s Arm-based CPU will provide the


general purpose compute, orchestration and data plane hosting, whereas Semidynamics’ RISC V based GPU/AI inference ASIC will provide the acceleration for AI inference workloads. The two companies aim to offer a rack-scale system delivering the density expected from advanced global AI platforms. The design will be based on the Open


Compute Project (OCP) standard, supporting interoperability and alignment


with established cloud and data centre infrastructure practices. The platform’s architecture will tackle high throughput, high reliability cloud deployments, yet at low power. This makes it highly suitable for enterprise inference server clusters and AI services that need consistent, large scale processing power. Target applications include AI inference in the cloud, especially when involving LLMs and retrieval augmented generation pipelines; enterprise scale inference in areas such as customer service automation and industrial analytics; and sovereign public sector workloads where data control and autonomy are essential. Pundits state that Europe’s technological


sovereignty lies at the heart of this collaboration, with key compute components being developed in Europe, thus reducing dependence on non-European “full stack” ecosystems. “SiPearl is thrilled to see the impact of


years of work in the European Processor Initiative and the EU sovereign ecosystem come to fruition with this platform. It demonstrates the systematic progress that Semidynamics and SiPearl have made individually and collectively, and will showcase the best of both companies,” said Philippe Notton, SiPearl’s CEO and Founder. The next step in the cooperation will


focus on further chiplet-level integrations and the reference architecture.


NASA selects Hall effect sensors by TT Electronics for its Dragonfly mission to Saturn’s moon, Titan


TT Electronics will supply its Hallogic Hall- effect sensors to NASA for the Dragonfly rotorcraſt mission to Saturn’s largest moon, Titan. Te sensors will be integrated into the fan assemblies to support the spacecraſt subsystems for the duration of the mission. Dragonfly will conduct projects across


multiple locations on Titan, collecting surface material samples to determine detailed compositions, as well as observe the moon’s geology and meteorology. Te Johns Hopkins Applied Physics Laboratory manages the Dragonfly mission for NASA and is building the rotorcraſt. It is scheduled to launch in 2028 and reach Titan in 2034. “Dragonfly is a mission that demands


exceptional reliability and consistency, and we’re proud that the Hallogic OMH3075S has been selected for this mission,” said Klaus Zwerschina, Interim VP Components, TT Electronics. Te Hallogic OMH3075S is a high-


reliability Hall effect sensor in the TT Electronics Optek portfolio, designed for


04 June 2026 www.electronicsworld.co.uk


Dragonfly octocopter lander on Titan. [Image credit: NASA/Johns Hopkins APL]


non-contact switching and operation across a broad range of supply voltages. Te device is specified for the temperature range of -55°C to +150°C. For applications requiring enhanced screening, B and S versions are processed and screened to MIL-STD-883, with ESD Class 3B, as per the same standard.


“We work closely with customers to


de-risk performance-critical designs, supporting programmes that value engineering continuity and a disciplined supply approach from design-in to production, for long service life,” said Zwerschina.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44