On the compute front, Google recently announced TPUv4, its fourth-generation hardware chip purpose-built for AI training. TPUv4 is 2.7x more performant than its predecessor and, when configured in a 4,092-chip pod, generates one exaflop of processing power, equivalent to that in 10 million laptops
## Patterson https://inst.eecs.berkeley.edu/~cs152/sp19/lectures/L20-DSA.pdf
## TPUv4
[Google details new AI accelerator chips](https://venturebeat.com/2021/05/18/google-details-new-ai-accelerator-chips/?utm_campaign=Sunday%20Newsletter&utm_medium=email&_hsmi=129185965&_hsenc=p2ANqtz--m0Sxspc-ORmMmzriWtmmEKEGfhtTxRsEhkngWDiiLZMvbEMVNtgjOuVfEE_944Or0hGS4Xc9hkGXitqnYTA9_kdYuug&utm_content=129185965&utm_source=hs_email)
> On the compute front, Google recently announced TPUv4, its fourth-generation hardware chip purpose-built for AI training. TPUv4 is 2.7x more performant than its predecessor and, when configured in a 4,092-chip pod, generates one exaflop of processing power, equivalent to that in 10 million laptops
## 2020 [A Domain-Specific Supercomputer for Training Deep Neural Networks](https://cacm.acm.org/magazines/2020/7/245702-a-domain-specific-supercomputer-for-training-deep-neural-networks/fulltext)