Marvell said it would develop AI inference accelerators, storage, networking and memory interface controllers and near-memory computing technologies for Google. Demand for custom chips such as Google's tensor processing units (TPUs), used for AI workloads, has surged in recent years as businesses seek alternatives to Nvidia's pricey graphics processors.
Marvell said it would develop AI inference accelerators, storage, networking and memory interface controllers and near-memory computing technologies for Google. Demand for custom chips such as Google's tensor processing units (TPUs), used for AI workloads, has surged in recent years as businesses seek alternatives to Nvidia's pricey graphics processors.
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