Post by Cadence

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In the cloud, model quality often defines success. As AI inference moves to the edge, the real challenge is whether your silicon can run it reliably within a fixed power budget, with no cloud to lean on, for years in the field. Latency doesn’t allow for round trips. Sensitive data often can’t leave the device. These are architecture problems that software alone can’t solve. Our white paper, "Building Edge AI with IP Solutions," explores how to design for deployment reality from the start. Download it now: https://lnkd.in/ezgp_9Km

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