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Axelera AI Receives €61.6M in Funding for AI Chiplet Development

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EINDHOVEN, Netherlands, March 11, 2025 — Axelera AI, a provider of purpose-built AI hardware acceleration technology, has received €61.6 million ($66.7 million) in funding in support of the development of Titania, a high-performance, energy efficient, and scalable AI inference chiplet. The financing, from the EuroHPC Joint Undertaking and member states, is part of the Digital Autonomy with RISC-V for Europe (DARE) project. 

The Titania chiplet-based architecture will leverage Axelera’s digital in-memory computing architecture along with RISC-V instruction set architecture capabilities, to meet the increasing AI demands across various market sectors while maintaining the efficiency of an edge-oriented architecture. The company believes that this architecture allows for near-linear scalability in performance without the significant power and cooling overhead that are typical of other solutions. At the same time, the solution integrates RISC-V technology with vector extensions, enabling Axelera AI to meet evolving customer needs.

As part of the DARE consortium, Axelera AI will support the EuroHPC Joint Undertaking and its effort to develop a world class supercomputing ecosystem in Europe. DARE aims to foster the design and development of European processors, accelerators, and related technologies for extreme-scale, high-performance, and emerging applications.

Axelera AI is targeting a deployment date of 2028 with multiple Titania chiplets being packaged in a system-in-package. To support this development effort, Axelera AI plans to grow its R&D teams in the Netherlands, Italy, and Belgium.

The funding brings the company’s total amount raised to more than $200 million over three years. The award comes after Axelera AI entered into a partnership earlier this week with edge AI solutions provider Aetina. The partnership aims to introduce a portfolio of AI-optimized systems that integrates Axelera AI's AI accelerator cards with Aetina's hardware platforms.


Published: March 2025
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Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
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