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Axelera AI has secured a EuroHPC grant of up to €61.6 million to advance the development of its AI chiplet, Titania. The grant is part of the EuroHPC Joint Undertaking's (JU) effort to develop a supercomputing ecosystem in Europe. Axelera AI will support the EuroHPC JU in fostering the design and development of European processors, accelerators, and related technologies for extreme-scale, high-performance, and emerging applications as part of the DARE (Digital Autonomy with RISC-V for Europe) Project.

The Titania chiplet is described as a high-performance, low-power, and scalable AI inference solution. Axelera AI believes that its Digital In-Memory Computing (D-IMC) technology will provide near-linear scalability from the edge to the cloud. The company also said that the chiplet will be enhanced with proprietary RISC-V vector extensions and that its architecture facilitates scaling from the edge to the cloud, streamlining expansion and optimizing performance in ways that traditional cloud-to-edge approaches cannot. This funding follows an oversubscribed $68 million Series B financing round, bringing the total amount raised to more than €200 million in three years.
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References :
  • insideAI News: Axelera AI has unveiled Titania, which the company described as a high-performance, low-power and scalable AI inference chiplet.
  • insidehpc.com: AI hardware maker Axelera AI has unveiled Titania, which the company described as a high-performance, low-power and scalable AI inference chiplet.
  • AiThority: EuroHPC JU DARE project accelerates development of scalable, energy efficient AI inference Titaniaâ„¢ chiplet for high-performance computing, data centers and more.
  • SiliconANGLE: Axelera AI B.V. today announced Titania, the next generation of its low-power yet high-performance silicon for running generative AI and computer vision inference workloads at the network edge.
Classification:
  • HashTags: #AI #AIHardware #EuroHPC
  • Company: Axelera AI
  • Target: European supercomputing
  • Product: Titania
  • Feature: AI inference
  • Type: Research
  • Severity: Medium