GROW-AI 2026 - 2nd Global RISC-V Open Workshop for AI Fusion
Europe · Asia · Latin America
Open Silicon for Sovereign AI from Cloud to Edge
August 24 - 26, 2026 | TU Wien, Vienna, Austria
We are pleased to announce GROW-AI 2026, the second edition of the Global RISC-V Open Workshop for AI Fusion, building on the inaugural GROW (São Paulo, 2025) and the Sino-European Workshop (Tirana 2024, Hong Kong 2024) series. This edition brings together the global RISC-V research community in Vienna under a unifying theme: AI Fusion - the convergence of open silicon, sovereign AI infrastructure, and edge intelligence on RISC-V.
AI is reshaping every layer of the compute stack - from data-center training clusters down to milliwatt inference engines at the edge. Yet the hardware powering this transformation remains overwhelmingly proprietary, concentrated in a handful of architectures, and gated by licensing models that limit who can build, adapt, and deploy AI systems.
RISC-V offers a different path: an open, extensible instruction-set architecture that lets nations, companies, and research labs build sovereign AI infrastructure on their own terms - from AI Factories in the cloud to intelligent sensors in the field.
Hosted at TU Wien, GROW-AI 2026 will convene researchers, industry leaders, and policy-makers from Europe, Asia, Latin America, and beyond to advance this vision across three thematic days: open technology strategy, AI-native silicon, and the open-source AI toolchains that make it all accessible.
Venue
GROW-AI 2026 will be held at TU Wien, Vienna, Austria, specifically at TUtheSky. TU Wien is the largest technical university in Austria, centrally located in Vienna’s historic 4th district, easily accessible by public transit and within walking distance of the city center.
Open HW for AI Vision
GROW 2026 will discuss shared principles for open RISC-V development, equitable access to sovereign AI compute infrastructure from cloud to edge, and cross-border cooperation in open silicon for AI. The goal is to foster global collaboration across continents to avoid duplication of R&D effort, promoting open standards for AI-capable hardware, and ensuring that the open-hardware revolution reaches all geographies and all scales of deployment.