1.原文連結(必須檢附)：
https://uncova.com/google-built-its-own-chips-to-expedite-its-machine-learning
-algorithms
2.原文內容：
As Google announced at its I/O developer conference today, the company recently
started building its own specialized chips to expedite the machine learning
algorithms.
These so-called Tensor Processing Units (TPU) are custom-built chips that
Google has now been using in its own data centers for almost a year, as Google
’s senior VP for its technical infrastructure Urs Holzle noted in a press
conference at I/O. Google says it’s getting “an order of magnitude better
-optimized performance per watt for machine learning” and argues that this is
“roughly equivalent to fast-forwarding technology about seven years into the
future.”
Google also manages to speed up the machine learning algorithms with the TPUs
because it doesn’t need the high-precision of standard CPUs and GPUs. Instead
of 32-bit precision, the algorithms happily run with a reduced precision of 8
bits, so every transaction needs fewer transistors.
If you are using Google’s voice recognition services, your queries are already
running on these TPUs today — and if you’re a developer, Google’s Cloud
Machine Learning services also run on these chips. AlphaGo, which recently b
eat the Go world champion, also ran on TPUs.
Holzle said that Google decided to build these application-specific chips
instead of using more flexible FPGAs because it was looking for efficiency.
Holzle sadly didn’t want to disclose which foundry is actually making Google
’s chips, though he was willing to say that the company is currently using
two different revisions in production and that they are manufactured by two
different foundries (and with TSMC, GlobalFoundries and Intel’s fledging
foundry business, there are really only three companies that could be building
these).
With TensorFlow, Google offers its own open source machine learning library
and unsurprisingly, the company adopted it to run its algorithms on TPUs.
3.心得/評論(必需填寫)：
內文可以END, 重點是Google也要跟蘋果一樣變成晶片設計公司了
這個處理器架構Tensor Processing Units (TPU)
是設計專門針對用來處理機器學習AI方面的
看來Google對於AI領域 真的很有雄心壯志
不過文中提到只有可能與三家Fab合作 (TSMC, GlobalFoundries and Intel)
不曉得台GG能吃到嗎???