At Embedded World 2026, our CEO and co-founder Fabrizio Del Maffeo sat down with Embedded Computing Design to talk about where edge AI is headed and what it actually takes to get there. A few things worth watching for: The dedicated accelerator model. Just as a graphics card handles specialized tasks without burdening the CPU, our AIPUs are purpose-built to run AI workloads efficiently alongside existing processors. No rip and replace, just more capability where you need it. Real-time intelligence at the edge. Physical AI means the machines around us can understand and respond to the world in real time, without a round trip to the cloud. That changes what is possible across industrial, medical, and autonomous systems. Performance that scales. The Metis AIPU delivers 214 TOPS at a fraction of the power and cost of traditional setups, bringing high-performance inference within reach for builders who previously could not justify the tradeoff. What comes next. With Europa on the way, large language models are coming to the edge too. Watch the full conversation here: eu1.hubs.ly/H0sVnCq0 #AxeleraAI #EmbeddedWorld #EdgeAI #PhysicalAI #ComputerVision #Semiconductors
→ View original post on X — @axeleraai, 2026-03-24 07:30 UTC

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