Inference silicon refers to specialized chips designed to run trained AI models efficiently. Unlike training-focused hardware, these processors prioritize low latency and power efficiency for real-time tasks like image recognition or language processing. Cloud providers, edge device manufacturers, and enterprises deploying AI applications benefit from faster, more cost-effective inference at scale.
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