No it is not at all Neoverse V2, which is obsolete and has much lower performance.
It is a custom Armv9.3-A design (same ISA like the Arm C1 CPUs from the flagship smartphones of 2026), but it has double-width execution units for SVE2 (i.e. 256-bit width, vs. 128-bit for the other Arm CPUs) and it has some ISA extensions for AI/ML, e.g. instructions for inference with FP8 (BF16 is already supported by the standard Arm ISA).
Despite the fact that Armv9.3-A may include SME (scalable matrix extension, like in the Apple CPUs and in the Arm C1 CPUs), Fujitsu did not mention SME, so I assume that they did not implement it and they rely on their enhanced SVE2 (which is not surprising, while the origin of Arm SME is at Apple, the origin of Arm SVE is at Fujitsu).
> what prevents US AI labs from doing the same level of software optimization?
Because they don’t have to. Most of the time money would buy you newest and/or more hardwares so there’s low/minimal interest to optimize the code or approach.
I would be extremely surprised if US labs weren't aggressively trying to optimise their stacks in exactly the same way. Any gain in performance or efficiency directly affects the bottom line as well as research speed.
This is kinda unrelated but I learned while researching for my new AC that there are two Mitsubishi brands/companies, one is Mitsubishi Electric and the other is Mitsubishi Heavy Industrial. And their ACs are not the same, so just saying Mitsubishi AC probably could lead to problem. The one OP has is Mitsubishi Electric by the first photo.
Technically, they’re both part of the Mitsubishi Group, the former zaibatsu; there are number of other Mitsubishi companies in this conglomerate as well.
However, the Mitsubishi Pencil company is entirely unrelated to the Mitsubishi Group. Ironically, they share a very similar three diamond logo, which they registered and used years before Mitsubishi Group.
Waiting this model to be on openrouter (with other providers) to test out. In my use case, the GLM 5.3 Flash is the current cheapest and intelligent Flash model, but it’s dog slow at 13tps so I have to leave it run for many minutes then check again then correct it again
The speed of GLM 5.3 Flash on OpenRouter seems to vary considerably by provider. Some are fast and some are slow. OpenRouter does provide some tuning knobs, but not enough for my taste. It’s also token-heavy with reasoning, though I found it better than Deepseek V4 Flash previously.
> though I found it better than Deepseek V4 Flash previously
Same experience here.
But man, switch to V4.1 now! It is much better.
I don't event need to test it for long run and I believe it's crazy good. I call it "AI era model taste" when I judge the model by it's output without reading the bench scores.
It sounds crazy but pulling >100A from low voltage battery is kinda normal for a 6kw solar inverter (in 220-250V countries). It needs a pair of 50mm2 wires which is thick as a rope though.
Edit: it’s funny because this article from 2021 mentioned Fujisu precisely https://siliconangle.com/2021/03/30/arm-unveils-armv9-archit...
reply