Thanks I was, of course, looking and very curious what their tool chain story will be.

Yes the lack of transparency on ARM architecture and the obfuscation of the RAM capacity with just the slot information is annoying. Not sure if it is deliberate to sell this at a premium to "mainframe" customers or whether its just their marketing folk not being on the ball. Fascinated by the fact Japan has a 2nm process node but I suspect that too is marketing. Perhaps the 2nm portion of the chip is done at TSMC and the rest of the package done in Japan or something like that. It's not like there's a plethora of 2nm Fabs around the planet to choose from.

If they didn't mention SVE2, I wouldn't have known either... that would make it arm9 at the earliest...

They actually do not in that article. I had to look elsewhere to find that out. Weird, one would expect that a big announcement like this would probably need to be vetted against licensing agreements with Arm that would probably want that fact to be prominently highlighted in press releases.

Interesting to note that Fujitsu did this when the SPARC architecture was popular: they enhanced/developed a CPU for the same ABI.

Seems they have decided they don’t want to create their own architecture, but take the popular architecture and build on it.

Not mentioning the architecture is rather strange. Being Fujitsu I'd expect SPARC, but apparently not. Maybe we're reaching a point where some circles either don't care or just defaults to ARM?

Obviously they can just ignore the license in the future and continue development out of a local branch, but it's also a bit disingenuous to speak of "sovereign infrastructure" and then use licensed processor design.

And if they'll sell it, seeing as they market it as 'sovereign AI'.

Performance would probably be the same regardless of where you run the CPU.

I think they'd say if the CPU was fabbed in Japan, instead there's some very "careful" wording:

>next-generation CPU, FUJITSU-MONAKA [1], designed and developed in Japan

>Fujitsu MONAKA Server, powered by the FUJITSU-MONAKA CPU, enhances sovereign capabilities through domestic manufacturing,

It's 2nm, so it has to be manufactured by TSMC.

The article says that it’s manufactured in Japan.

The Fujitsu Lifebooks were legendary for their robustness back in the day, I'm genuinely sad you had that experience.

The only fujitsu laptops I used was back in 2011- it was a budget version for on-call and it was fine..

Sounds like the fans running 100% probably contributed significantly to the issue here. If I had to guess it was likely that the C-States were disabled in BIOS somehow so the CPU clock was running at full tilt the whole time, maybe combined with a bad thermal paste job.

I'm not here to defend Fujitsu but I've had really bad experiences with basically every major laptop brand (Dell: majorly bad coil whine and especially faulty soldered RAM, HP: keys vanishing from the keyboard and very weak hinges that break all the time, Apple: The GPU unsoldering itself and the butterfly keyboard shenanigans).

I don't really know any brand with a flawless track record sadly.

Before anyone brings up Thinkpads, they're trading on a reputation that hasn't been true for over a decade. If you have fond memories of a thinkpad it's most likely that you had it from before 2016, or it's "fine", but certainly not great.

I wouldn't trust that this CPU can do maths properly.

The 'Fujitsu' that made the shitty software was a British consulting company that was acquired by Fujitsu [1] to farm public contracts. This is made by the Japanese parent company.

[1] https://en.wikipedia.org/wiki/International_Computers_Limite...

> I don’t really care about the CPU GHz and the memory bandwidth ... What I really want to know is how many tokens per second this will deliver

There is a fairly direct link between the two numbers. You can predict the latter from former reasonably well

I feel like even TPS is becoming less of a good metric as we're seeing certain models handle similar problems while burning far fewer tokens.

I always heard of GB/s as most important number ... AI told me their 8800 MT/s on 8 Byte, 12 DDR5-Channels means 845 GB/s. A Nvidia RTX 4090 has 1008 GB/s. Nvidia B200 has 8000 GB/s. Is this the right way of looking at it?