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Google unveils new TPU 8t for AI training and inference

Google has announced its eighth-generation Tensor Processing Unit (TPU), designed to optimize both AI training and inference tasks. The new TPU 8t superpods will feature up to 9,600 chips, offering 121 ExaFlops of computing power and 2 PB of memory. Google aims for the TPU 8i to deliver 80 percent better performance per dollar by utilizing on-chip SRAM and high-bandwidth memory, with both versions expected to be available later this year. AI

IMPACT This advancement in AI accelerator hardware could significantly boost the efficiency and cost-effectiveness of training and deploying large AI models.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=0.7]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google unveils new TPU 8t for AI training and inference

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12 / 100
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Significant
Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=0.7]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google split its eighth-generation Tensor Processing Unit between training and inference at Google Cloud Next. TPU 8t superpods scale to 9,600 chips, 2 PB of sh

    Google split its eighth-generation Tensor Processing Unit between training and inference at Google Cloud Next. TPU 8t superpods scale to 9,600 chips, 2 PB of shared high-bandwidth memory, and 121 ExaFlops. TPU 8i holds a model's active working set in 384 MB of on-chip SRAM alongs…