Brain-inspired Computing for Next Generation Generative Artificial Intelligencebroad
SpiNNext · Horizon Europe grant · 2025-12-01–2027-11-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-ACCELERATOR-02 · scheme HORIZON-EIC-ACC · topic HORIZON-EIC-2025-ACCELERATOR-02-CHALLENGES-03. CORDIS record →
Objective
As generative AI and large language models drive unprecedented demand for computational resources, traditional GPU-based architectures are reaching their fundamental limits, creating a mounting crisis in energy consumption, cost, and accessibility. Inspired by the human brain's remarkable ability to perform complex computations with minimal energy consumption, we have developed revolutionary AI hardware architecture that redefines the boundaries of computational efficiency. Our SpiNNaker2 chip and SpiNNcloud system translate millions of years of biological evolution into cutting-edge technology, delivering brain-like performance while dramatically reducing energy requirements. Building on our validated SpiNNaker2 technology, we are now introducing SpiNNext—our next-generation chip specifically designed for the emerging demands of modern generative AI. SpiNNext architecture directly addresses the mismatch between increasingly sparse, selective computation patterns in advanced algorithms and traditional dense processing architectures by implementing native hardware support for dynamic sparsity. SpiNNext will enable new possibilities in AI development while maintaining European technological sovereignty. The remarkable energy efficiency of our technology translates directly to significant environmental sustainability through significant reductions in AI-related carbon footprint.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| SPINNCLOUD SYSTEMS GMBH | DE | coordinator | €2,499,998 | Yes |
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