Project description
Scalable technology to transform edge AI
The AI revolution at the edge enables real-time, efficient applications in various sectors. However, with thousands of new AI models annually and diverse chip architectures, deployment is challenging: current tools struggle to keep up with model support and fail to utilise chips to their full potential. The EIC-funded ROOFLINE project aims to transform edge AI with a groundbreaking software development kit (SDK) that connects AI models to hardware. Building on next-generation compiler technology, the SDK will support models from frameworks such as PyTorch and TensorFlow, and it will be compatible with central processing units, graphics processing units and specialised accelerators. The SDK promises accelerated go-to-market times for new edge AI applications with clear performance improvements over industry standards.
Objective
The next AI revolution unfolds at the edge, powering real-time, energy-efficient and secure applications in autonomous systems, industrial automation, and healthcare. Yet, with over 400,000 yearly new AI models and hundreds of chip architectures, deploying edge AI in products is highly challenging. Existing tools fail to support the latest models like LLMs, lack flexibility across chips, and underutilize chip capabilities, making deployment inefficient and costly.
Roofline transforms edge AI with a breakthrough SDK that bridges the gap between AI models and hardware. Roofline’s SDK flexibly supports models from all relevant frameworks like PyTorch and TensorFlow and is retargetable across CPUs, GPUs, and specific accelerators. It delivers up to 15x lower latency and 35x lower memory usage vs industry standard – through a simple Python call. Combining intuitive tools with scalability, Roofline unlocks transformative applications in edge AI, paving the way for European leadership in a €20B+ market by 2030.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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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.
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.
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 - HORIZON EIC Accelerator
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-ACCELERATOR-02
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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.
50667 KOLN
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.