| Title | Hundred Petaflop Machine Learning Supercomputers Now Available on Google Cloud | |
| Date | Wednesday May 08 2019, @05:34PM | |
| Author | martyb | |
| Topic | ||
| from the if-you-have-to-ask-how-much-it-costs... dept. | ||
Google has assembled thousands of Tensor Processor Units (TPUs) into giant programmable supercomputers and made them available on Google Cloud
[...] To be precise, Google has used a "two-dimensional toroidal" mesh network to enable multiple racks of TPUs to be programmable as one colossal AI supercomputer. The company says more than 1,000 TPU chips can be connected by the network.
Google claims each TPU v3 pod can deliver more than 100 petaFLOPS of computing power, which puts them amongst the world's top five supercomputers in terms of raw mathematical operations per second. Google added the caveat, however, that the pods operate at a lower numerical precision, making them more appropriate for superfast speech recognition or image classification – workloads that do not need high levels of precision.
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