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pjietr

Re:Why the U.S. can't build icebreaking ships on Tuesday October 01, 2024 @09:18AM (#41707983)
We Finns can meet you somewhere halway there?

"US: cost $800-$900 million per ship ($1.1-$1.3 billion in 2024 dollars) FIN: Finnish shipyard can build a heavy icebreaker for just a few hundred million dollars"

Bill North Americans for $500-600 million per ship? Can give some discount if significant amount of these projections indeed gets built

ODD LOTS: "And our best estimate is that the global total global demand for ice breakers over the next decade from allies and partners is between seventy and ninety vessels."

Re:Thoughts on the Durov Arrest on Wednesday August 28, 2024 @04:55PM (#41384270)
Anecdotal Instagram evidence on the situation in Berlin: https://www.instagram.com/reel/CxJGJs7s-lE/

In Finland, stuff seems to be more on Telegram than on dark web as well

Re:AMD to buy Silo AI for $665M on Wednesday July 10, 2024 @04:01PM (#40930913)
I guess their growth strategy was mostly about hiring every Finnish person, or living in Finland (and then in other countries) with a PhD in some quantitative topic and then market the "we have xx PhDs as a consultancy for all your projects". So you probably are right that not all these are needed anymore?
Re:AMD to buy Silo AI for $665M on Wednesday July 10, 2024 @01:09PM (#40929025)
Silo.ai is mostly a consulting house for various proof-of-concept type of projects with the LLM product being only the recent addition
Re:Microsoft Readies Azure GPUs on Tuesday August 16, 2016 @08:27AM (#12296969)
Agree with dharma1 that the FP32-based cloud services could be a lot useful for deep learning than the Tesla-based Clouds.

Baidu has actually built Titan X -based servers for themselves as they saw it as the most cost-efficient way to build the system: http://www.nextplatform.com/2016/04/22/baidu-eyes-deep-learn...

Same logic would probably work in "deep learning" clouds if there would not be the licensing issue.

And this conversation got immortalized to that slideshow as well for selecting hardware parts for deep learning systems: http://tinyurl.com/zzhj9vr