The hype surrounding AI has reached unprecedented levels, with governments and industries engaged in an arms race towards artificial general intelligence. As AI permeates every aspect of our lives, from disrupting supercomputers to enabling the next inflection point in robotics, we face a diverse range of challenges that foremost hinge on scaling inference efficiency.
Europe is standing at a pivotal moment in its digital development. Amid geopolitical tensions, tariffs and new digital regulation, there is growing concern for our data security and digital competitiveness at a global scale. In a world where Big Tech has tremendous influence over our data, and hence information, how can we ensure our data is safe, our digital laws are enforced effectively and our democratic values are protected?
AI workloads, spanning edge intelligence to large language models (LLMs), are placing unprecedented demands on computing systems, exposing fundamental limits in efficiency, productivity, and reliability. As a result, AI–hardware (AI-HW) co-design has become a necessity rather than an option.
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