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Touching the Elephant - TPUs

considerthebulldog.com · published 1 December 2025

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Domain specific architectures for AI inference Read at the source ↗
fleetwood.dev
https://jax-ml.github.io/scaling-book/tpus/
jax-ml.github.io
https://www.nextplatform.com/2025/04/09/with-ironwood-tpu-google-pushes-the-ai-accelerator-to-the-floor/
nextplatform.com
https://arxiv.org/ftp/arxiv/papers/1704/1704.04760.pdf
arxiv.org
https://gwern.net/doc/ai/scaling/hardware/2021-norrie.pdf
gwern.net
https://dl.acm.org/doi/pdf/10.1145/3360307
dl.acm.org
https://arxiv.org/pdf/2304.01433
arxiv.org
https://gwern.net/doc/ai/scaling/hardware/2021-jouppi.pdf
gwern.net
https://www.usenix.org/system/files/nsdi24spring_prepub_zu.pdf
usenix.org
https://arxiv.org/pdf/2105.04663
arxiv.org
https://arxiv.org/pdf/2203.12533
arxiv.org
https://dl.acm.org/doi/pdf/10.1145/3544216.3544265
dl.acm.org
https://arxiv.org/pdf/2208.10041
arxiv.org
https://gwern.net/doc/cs/hardware/2014-horowitz-2.pdf
gwern.net
https://dl.acm.org/doi/pdf/10.1145/3361682
dl.acm.org
https://parallel.princeton.edu/papers/wall-hpca19.pdf
parallel.princeton.edu
https://arxiv.org/pdf/1911.05289
arxiv.org
https://henryhmko.github.io/posts/tpu/tpu.html
henryhmko.github.io
https://www.telesens.co/2018/07/30/systolic-architectures/
telesens.co
https://www.nextplatform.com/2017/04/05/first-depth-look-googles-tpu-architecture/
nextplatform.com
https://blog.google/products/google-cloud/ironwood-tpu-age-of-inference/
blog.google
https://cloud.google.com/tpu/docs/system-architecture-tpu-vm
cloud.google.com
https://www.servethehome.com/google-ironwood-tpu-swings-for-reasoning-model-leadership-at-hot-chips-2025/
servethehome.com
https://cloud.google.com/blog/products/compute/introducing-trillium-6th-gen-tpus
cloud.google.com
https://openxla.org/xla/sparsecore
openxla.org
https://cloud.google.com/blog/products/compute/using-cloud-tpu-multislice-to-scale-ai-workloads
cloud.google.com
https://hc2023.hotchips.org/assets/program/conference/day2/ML%20training/HC2023.Session5.ML_Training.Google.Norm_Jouppi.Andy_Swing.Final_2023-08-25.pdf
hc2023.hotchips.org
https://hc33.hotchips.org/assets/program/tutorials/HC2021.Google.Sameer%20Kumar.pdf
hc33.hotchips.org
https://hc32.hotchips.org/assets/program/tutorials/HC2020.Google.SameerKumarDehaoChen.v02.pdf
hc32.hotchips.org
https://old.hotchips.org/hc31/HC31_T3_Cloud_TPU_Codesign.pdf
old.hotchips.org
https://pages.cs.wisc.edu/~markhill/seminar2020/jouppi2020_10_tpu-v2-v3.pdf
pages.cs.wisc.edu
https://www.hc32.hotchips.org/assets/program/conference/day2/HotChips2020_ML_Training_Google_Norrie_Patil.v01.pdf
hc32.hotchips.org
https://chips-compilers-mlsys-22.github.io/assets/slides/10%20Lessons%204%20TPU%20gens%20%2B%20CO2e%2045%20minutes.pdf
chips-compilers-mlsys-22.github.io
https://tnm.engin.umich.edu/wp-content/uploads/sites/353/2020/08/2020.6.sparse-tpu_ics2020.pdf
tnm.engin.umich.edu
https://www.eecs.harvard.edu/htk/static/files/1978-cmu-cs-report-kung-leiserson.pdf
eecs.harvard.edu
https://www.eecs.harvard.edu/~htk/publication/1982-kung-why-systolic-architecture.pdf
eecs.harvard.edu
https://dl.acm.org/doi/pdf/10.5555/800052.801897
dl.acm.org
Mixture of Experts Explained Read at the source ↗
huggingface.co