TPU v5e, A3 VMs, and GKE Enterprise headline first in-person shindig since pandemic
Google is razor-focused on AI at this year's Cloud Next, with a slew of hardware projects, including TPU updates, GPU options, and a bevy of software tools to make it all work.
With Cloud TPU v5e, Google is claiming to have doubled the training performance per dollar and 2.5 times the inference performance per dollar on large language models and generative AI, when compared withThe cloud giant uses TPUv4 engines to do inference for its own search engine and ad serving platforms.
It's not all about hardware, of course. They're focusing on greater scalability for handling large AI workloads in Cloud TPU v5e with a feature called Multislice. Currently in preview, this has been developed to allow users to scale models beyond the confines of a single TPU pod to encompass tens of thousands of TPU chips, if necessary. Training jobs were previously limited to a single slice of TPU chips.
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