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A novel hardware & software platform to revolutionise artificial intelligence at the edge

Project description

Hardware and software platforms for inference at the edge

Integrating AI algorithms into edge computing enables edge devices to make predictions and inferences based on incoming data. The inference at the edge market is experiencing significant growth. In this context, the EIC-funded Axelera Europa project proposes a solution comprising hardware and software platforms optimised for inference at the edge. This solution offers accelerated processing for the latest generation of neural network models in areas such as computer vision, natural language processing and generative AI. The hardware platform will be available in multiple versions to facilitate adoption, ranging from a single device in an embedded system to multiple instances on cards within an edge data centre.

Objective

Our solution is a hardware (HW) and software (SW) platform optimized for inference at the edge, which, as a market, is projected to grow exponentially, and to reach €15.52 B in 2025. Our solution will accelerate the latest generation of neural network models for computer vision, natural language processing and generative AI to revolutionize the way we use AI, at a fraction of the costs and power consumption of available solutions. The HW will be available in various form factors for rapid adoption and is highly scalable–from a single device running in an embedded system to multiple instances on cards in an edge datacenter. Our SW tools provide a consistent, powerful and easy-to-use development environment for all of these instances, while driving the adoption of AI through our no-code web composer. We have a strong team led by the CEO who was the Head of Artificial Intelligence at Bitfury and has 20+ years of managerial experience in tech corporations such as Asus and Advantech.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EIC-2023-ACCELERATOR-01

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Coordinator

AXELERA AI BV
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 499 999,00
Address
HIGH TECH CAMPUS 5
5656 AE Eindhoven
Netherlands

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 3 580 000,00
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