Missing The Moat With AI
Google is a big company with thousands of researchers and tens of thousands of software engineers, who all hold their own opinions about what AI means to the future of business and the future of their own jobs and ours. …
Google is a big company with thousands of researchers and tens of thousands of software engineers, who all hold their own opinions about what AI means to the future of business and the future of their own jobs and ours. …
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
It seems like we have been talking about Google’s TPUv4 machine learning accelerators for a long time, and that is because we have been. …
Being in the cloud business is difficult and expensive – even for a rich company like Google. …
A long time ago, when we first started The Next Platform, Urs Hölzle, then senior vice president of the Technical Infrastructure team at Google, told us that to gain a 20 percent improvement in price/performance it would absolutely change from the X86 architecture to Power architecture – or indeed any other architecture – and even for one generation of machines. …
The people running Google Cloud can see the tides of HPC changing and know that, as we discussed only a few months ago, there is a fairly good chance that more HPC workloads will move to cloud builders over time as their sheer scale increasingly dictates future chip and system designs and the economics of processing. …
Like other kinds of computing, if you put garbage data into a machine learning training run and then pour new data through it, what comes out as the answer is puréed garbage. …
Why does Google need another database, and why in particular does it need to introduce a version of PostgreSQL highly tuned for Google’s datacenter-scale disaggregated compute and storage? …
It is Google I/O 2022 this week, among many other things, and we were hoping for an architectural deep dive on the TPUv4 matrix math engines that Google hinted about at last year’s I/O event. …
In an ideal platform cloud, you would not know or care what the underlying hardware was and how it was composed to run your HPC – and now AI – applications. …
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