Google's machine learning oriented chips have gotten an upgrade:
At Google I/O 2017, Google announced its next-generation machine learning chip, called the "Cloud TPU." The new TPU no longer does only inference--now it can also train neural networks.
[...] In last month's paper, Google hinted that a next-generation TPU could be significantly faster if certain modifications were made. The Cloud TPU seems to have have received some of those improvements. It's now much faster, and it can also do floating-point computation, which means it's suitable for training neural networks, too.
According to Google, the chip can achieve 180 teraflops of floating-point performance, which is six times more than Nvidia's latest Tesla V100 accelerator for FP16 half-precision computation. Even when compared against Nvidia's "Tensor Core" performance, the Cloud TPU is still 50% faster.
[...] Google will also donate access to 1,000 Cloud TPUs to top researchers under the TensorFlow Research Cloud program to see what people do with them.
Previously: Google Reveals Homegrown "TPU" For Machine Learning
Google Pulls Back the Covers on Its First Machine Learning Chip
Nvidia Compares Google's TPUs to the Tesla P40
NVIDIA's Volta Architecture Unveiled: GV100 and Tesla V100
(Score: 2) by MichaelDavidCrawford on Friday May 19 2017, @01:33AM (3 children)
The TPU is smarter than our Commander-in-Chief.
Yes I Have No Bananas. [gofundme.com]
(Score: 3, Interesting) by takyon on Friday May 19 2017, @01:37AM (2 children)
TPUs are ineligible to become the President of the United States.
Here's a short story idea for mcgrew: Donald Trump becomes the first human to be mind uploaded, and the resulting AI quickly becomes smarter than any other human while discovering profound insights about its copied former experiences.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 0) by Anonymous Coward on Friday May 19 2017, @05:01AM
Well in that case, my vote goes to the inanimate carbon rod.
(Score: 2) by DeathMonkey on Friday May 19 2017, @05:53PM
"Holy crap I was literally wrong about everything." THE END