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Creating A Moore’s Law For AI Scaling
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Creating A Moore’s Law For AI Scaling
Key Takeaways: AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute efficiency gain over 10 years, making collaboration across algorithms, architectures, devices, packaging, and communication fabrics essential to deliver a 10X improvement in compute efficiency over the next decade. Edge AI chips are moving to leading-edge nodes at a faster pace. Physical AI calls for an adapti…
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