Google broadens its AI hardware portfolio with two new specialized chips
Google has introduced two new specialized AI chips, the TPU 8tx and TPU 8i Max, to enhance its cloud computing and AI workload capabilities. These chips aim to improve security, memory capacity, and processing power while reducing reliance on third-party hardware.
Why it matters
The development of proprietary AI hardware is a strategic move by major tech firms to maintain competitive advantages and security in the rapidly expanding AI infrastructure market.
Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google on Monday unveiled two new variants of its tensor processing units (TPUs), in-house developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads.
The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chips introduced in April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements.
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