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Google adds two specialized TPU chips for confidential training and larger inference
Google on Monday unveiled TPU 8tx and TPU 8i Max, eighth-generation variants aimed at confidential AI training and higher memory for large inference, TechCrunch reported.
- New headline Was: “Google broadens its AI hardware portfolio with two new specialized chips”
- Our desk filed its story
Google on Monday unveiled two new variants of its eighth-generation tensor processing units, TPU 8tx and TPU 8i Max, aimed at confidential AI training and larger inference workloads, TechCrunch reported1.
The company said the chips expand its in-house AI silicon as it seeks to rely less on chips from other vendors for cloud computing1.
TPU 8tx, designed with AMD and based on the TPU 8t, is built for confidentially training and running models, with security in the hardware layer so data and model weights stay isolated while in use, Google said in a blog post cited by TechCrunch1.
The chip also has a custom inferencing network that can run reasoning alongside training, which Google said could help companies train on proprietary data without moving it between devices1.
TPU 8i Max packages two of the inference-focused TPU 8i chips Google introduced in April, doubling memory, processing power and bandwidth in a single package so models can handle a larger range of information in queries1.
The April eighth-generation lineup had emphasized more inference capacity and support for large training jobs1.
