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Google’s new TPU systems tackle AI memory and data protection with existing chips
Google Cloud has added two systems to its eighth-generation TPU lineup. Network World reports that TPU 8tx is Google Cloud’s first TPU with confidential computing, developed with AMD, and Zeniteq says it uses TPU 8t silicon for secured inference. Google says TPU 8i Max packages two TPU 8i chips together, doubling bandwidth and SRAM while increasing HBM capacity by about a third.
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Neither system uses a new accelerator design: TPU 8tx pairs TPU 8t silicon with fifth-generation AMD EPYC hosts and Google’s Boardfly network, while TPU 8i Max packages two existing TPU 8i chips together.
TPU 8i Max doubles memory bandwidth and on-chip SRAM but raises HBM capacity by 33%, and bandwidth and capacity answer different questions: how fast context data moves versus how much of it the system can hold.
The 2x latency claim for TPU 8tx is measured against TPU 8t, while the 8i Max gains are measured against TPU 8i. Neither figure says which system finishes a given job more cheaply.
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