EU DARE Project Is Scrambling to Replace Codasip

· Source: Big Data & AI News - EE Times · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Cybersecurity & Data Privacy · Depth: Intermediate, medium

Summary

The European High-Performance Computing Joint Undertaking (EuroHPC JU) and the Digital Autonomy with RISC-V in Europe (DARE) consortium, backed by a €240 million budget, are addressing the implications of a strategic pivot by partner Codasip. Codasip, a Munich-based company, recently announced a divestment of its low-end RISC-V processor design business to an undisclosed U.S. public semiconductor company and a shift towards cyber-resilient architectures utilizing CHERI technology. This realignment introduces uncertainty for the DARE project, which aims to develop processors and accelerators for European data centers, particularly regarding its general-purpose processor (GPP) chiplet and associated architectural and financial planning. Stakeholders, including the Barcelona Supercomputing Center (BSC) and OpenChip, are exploring alternatives and emphasizing the need for robust European semiconductor companies and more agile investment processes.

Key takeaway

For AI Architects and Policy Makers focused on European digital autonomy, Codasip's divestment underscores the critical need for diversified supply chains and robust regional investment. You should advocate for faster, more agile funding mechanisms and support the development of multiple European partners to ensure long-term independence in high-performance computing and RISC-V intellectual property.

Key insights

Codasip's strategic pivot impacts the DARE project, highlighting challenges in European semiconductor independence and investment.

Principles

Method

Codasip is expanding its secure processor portfolio using Capability Hardware Enhanced RISC Instructions (CHERI) technology to build cyber-resilience from the architecture outward, including FPGAs and custom silicon.

In practice

Topics

Best for: CTO, AI Hardware Engineer, AI Architect, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.