Meanwhile, Microsoft’s new Eagle supercomputer, deployed in the Azure Cloud, has now taken the number three spot on the list, pushing Japan’s Fugaku into fourth place on the leaderboard. Eagle is the first cloud system to break the top ten.
I think you’re overstating the impact of this development. The US, PRC, EU, and Japan national programs are sticking to systems in supercomputer centers, universities, and government facilities for the foreseeable future. The main reasons for this are practicality (how exactly does one migrate several PB of data in the cloud, for instance), security, and politics. Thus, I’d expect things at the top-end of supercomputing to stay more or less the same. Industrial users who want cheap supercomputing occasionally might be pleased, but that’s not what the leading supercomputing centers do.
Not really, no. Fugaku is a pretty efficient system, more so than its competitors. Even if it’s going to be outclassed by others being larger scale, its still more efficient.
The bigger news is in the last paragraph:
Meh. Microsoft didn’t even even bother running HPCG on it. Fugaku is still #1 on HPCG, followed by Frontier.
Doesn’t matter, there’s a cloud system in top ten. Change of times
I think you’re overstating the impact of this development. The US, PRC, EU, and Japan national programs are sticking to systems in supercomputer centers, universities, and government facilities for the foreseeable future. The main reasons for this are practicality (how exactly does one migrate several PB of data in the cloud, for instance), security, and politics. Thus, I’d expect things at the top-end of supercomputing to stay more or less the same. Industrial users who want cheap supercomputing occasionally might be pleased, but that’s not what the leading supercomputing centers do.
Fugaku still balling out this ‘late’ into its career is a stroke of massively lucky timing lol.
Not really, no. Fugaku is a pretty efficient system, more so than its competitors. Even if it’s going to be outclassed by others being larger scale, its still more efficient.