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The article discusses the 'AI power wall' where compute growth outpaces efficiency gains, proposing four paradigm shifts—neuromorphic, photonic, memory-centric, and approximate computing—to make AI sustainable, and promotes the upcoming 'Watt Matters in AI' conference addressing full-stack energy reduction.
Q.ANT has opened a US facility in Austin and appointed Bruno Spruth as CTO, highlighting production of photonic GPUs at the Leibniz Supercomputing Centre that claim significant performance and energy efficiency gains over traditional transistor-based chips.