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# Sparxity raises €80 million for sparse-native AI computing
- URL: https://www.nupath.eu/sparxity-raises-eur80-million-for-sparse-native-ai-computing/
- Published: 2026-11-11T05:39:19.000Z
- Updated: 2026-11-11T05:39:19.000Z
- Author: Christian Triantafillou Schade
- Tags: News, Germany, #source_EU-Startups

Dresden-based Sparxity secures €80 million in Series A funding to advance sparse-native AI computing hardware, led by ICM HPQC Fund. The financing supports development of energy-efficient chips for ultra-sparse workloads, with reported performance gains including 10× faster sparse solvers and 18× lower energy use. Sparxity has deployed 12 racks and over 70,000 chips globally, including partnerships with Jülich Supercomputing Centre and Deutsche Telekom. **(EU-STARTUPS)**

[Dresden-based Sparxity raises €80 million for sparse-native AI computingSparxity, a German innovator in sparse-native computing, today announced the close of its Series A bringing cumulative funding to €80 million ($90 million) – as well as rebranding away from their former identity; SpiNNcloud. The round was led by ICM HPQC Fund and joined by investors such as Lockheed Martin Ventures, GlobalFoundries, GS Futures, Cloudberry Ventures, TGFS and the EIC Fund. The financing also includes angel investments from Richard Socher (Recursive Superintelligence) and Nancy Xu (Salesforce-acquired Moonhub), alongside continued support from Atlantic and Silicon Catalyst. “The next era of AI will be defined not just by how much computing power we can deliver, but by how intelligently and efficiently we use it,” says Sparxity co-founder and CEO Hector Gonzalez. “This financing is a powerful validation of our vision for sparse-native computing and the complementary positioning of our systems. With the backing of leading, strategic investors, we’re accelerating the transition from dense, energy-intensive architectures to heterogeneous datacenters with dedicated silicon for ultra-sparse workloads to unlock greater AI performance and lower costs.” Sparxity’s financing comes amid several European investments in specialised AI computing hardware and infrastructure during 2026\. UK-based OLIX raised €270.5 million for AI inference chips, Spain’s Openchip secured €115 million for AI and HPC processors, and Dutch startup EUCLYD announced a Series A exceeding €200 million for energy-efficient AI systems. In Germany, Munich-based QuantumDiamonds reported a €91 million financing package for semiconductor inspection technology, while London’s Callosum and Eindhoven’s Photon Bridge secured €85.4 million and €10 million respectively for complementary AI infrastructure technologies. Together, these announcements represent more than €771.9 million in disclosed financing, excluding Sparxity’s cumulative funding. Source: EU-Startups EU-Startups previously featured the company under its former name, SpiNNcloud, in 2025, reporting €10 million in EIC Accelerator blended funding. “Our work with PEER demonstrated the potential of dynamic sparsity, activating only a fraction of the compute across millions of fine-grained experts,” adds Xu Owen He, former Google DeepMind researcher and Sparxity strategic advisor. “Yet today’s hardware limits how far we can take these approaches. Co-designing AI models, distillation pipelines, and hardware around sparsity unlock a new level of computing efficiency.” Founded in 2021, Sparxity builds sparse-native compute for AI. Deployed in rack- and supercomputer-scale systems across Europe and the US, Sparxity aims to open a new world of compute for the builders shaping what comes next. Sparse computing reduces unnecessary operations and data movement. Sparxity’s current systems bring this approach to HPC and AI, with reported results, including 10× faster sparse solvers, 18× lower energy use for event-based machine learning and 20× shorter runtimes for optimization problems on selected workloads. Its next-generation chip technology is being designed specifically for dynamic sparsity in AI inference. The funding follows the sparse-native startup quadrupling its revenue between 2024 and 2025 with continued momentum in 2026\. To date, the company’s foundation include three tapeouts, more than 70,000 chips produced and 12 racks deployed. Sparxity currently has more than 30 customers worldwide. “Sparxity has a unique complementary positioning at the infrastructure stack. Its architecture is grounded in first principles, addressing the inevitable shift toward sparse activation and the structural limitations of conventional hardware,” says Matthew Gould of ICM HPQC Fund. Today’s bews follows two major announcements by Sparxity. The first was a multi-million-dollar deployment of its sparse-native computing systems at the Jülich Supercomputing Centre (JSC), part of Forschungszentrum Jülich and home to Europe’s first exascale supercomputer. The second was a major partnership with Deutsche Telekom to bring Sparxity’s sparse-native technology into T- Systems ‘ data center infrastructure. This partnership marks a significant step toward deploying energy-efficient, sparse-native AI computing at industrial scale. The funding will accelerate the development of specialised chips for fine-grained dynamic sparsity, targeting up to 44× faster AI inference in ultra-sparse models, bringing greater energy efficiency by computing only what matters. The post Dresden-based Sparxity raises €80 million for sparse-native AI computing appeared first on EU-Startups.![](https://www.google.com/s2/favicons?domain=https://www.eu-startups.com/2026/11/dresden-based-sparxity-raises-e80-million-for-sparse-native-ai-computing1/&sz=64)EU-Startups![](https://www.eu-startups.com/wp-content/uploads/2026/11/Sparxity.png)](https://www.eu-startups.com/2026/11/dresden-based-sparxity-raises-e80-million-for-sparse-native-ai-computing1/?ref=nupath.eu)

Source: EU-Startups